OEE for Operators.pdf

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    S H O P L O O R S R I S

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      1999 by Productivity, l nc

    \

    rights resenetl. No part of this book m y be reproduced or utilized in airy fonn or

    by

    any means, electronic or mccl~ an ica l, ncluding photocopying, recording, or

    y

    any infor-

    omtion sto ng e and retrieval system, without

    permission

    in writing from the poblislicr.

    Additional copies of is book and a learning package for lead ing a book study gro up arc

    ;w;~ilable rom the publislrer. Disco unts are a d a b l e for multiple copies through the

    Sales Department (800-394-6868). Address all other inquiries to:

    i'roductivit)., lnc.

    P.O. Box 13390

    Portland OR 9721 3.0390

    United States of Arnerica

    Teleplionc: 503-235-0600

    I k : 503-235-0909

    Email :

    [email protected]

    Cover by h'lnrk t;Veiirstei~t

    Cover illnstratioo

    by

    Gar) Ibgaglia

    Page design and composition by William Ii . B n~ ns on , ypography Services

    Gmp hics by Guy Buster, Lee Sm ith. and H ann ah Borrrier

    Printed and botrnd by h,lalloy Lithographing, Inc. ll tire United Stales of Arnerica

    Libra? of Congress

    Cataloging-in-Publicatiort

    Data

    O E E for operators ovcrall equ ipm ent cffectiverressI created by the f'roductivity

    Developnient

    Team.

    1. c1n.

    Includes bil~liograplrical erereoces.

    ISBN 1-56327-221-0 (d k. psper)

    1. Ibtal productive mainteni~ace.

    2.

    lrrdustrial equiprnerrt.

    1. Productivity DeveIopment'Tcam (Productivity f'ress)

    TS192.032 1999

    658.?7-dc21

    99-3532

    C I P

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    Publisher s Message

    Getting Started

    The Purpose o f This Book

    What Th is Book i s Based On

    Two Ways t o Use This Book

    How t o Get the M os t Out of Your Reading

    Overview o f the Contents

    Chapter1 About TPM and

    OEE

    Chapter Overview

    What s TPM?

    What

    is

    OEE a nd Why

    s t

    Important?

    Quantity Over Time is Only Part of

    OEE

    Effectiveness Focuses on the Equipment Not the Person

    The Purpose of Measurement Is Improvement

    The Role of th e Shopf loor Team

    in

    Us ing OEE

    In Conclusion

    Summary

    Reflections

    xv

    xv

    xvi

    xvii

    xix

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    C O N T E N T S

    Chapter

    2

    Understanding Equipment

    Related Losses

    9

    Chapter Overview

    9

    Losses Reduce Overall Equipment Effectiveness 1

    Visualizing OEE and the Losses

    12

    vailability

    Performance

    Quality

    Availability: Downtime Losses

    Failures and Repairs

    Setup Time

    Other Los ses to vaiiabiiity

    Performance: Speed Losses

    Reduced Operating Speed

    Minor Stoppages

    Quality: Defect Losses

    Scrap and Rework

    Star tup and Reduced Yield

    In Conclusion

    Summary

    Reflections

    Chapter

    3

    Measuring OEE

    Chapter Overview

    Closing the Feedback Loop

    Collecting OEE Data

    Defining What to Measure

    Making Data Collection Simple

    Processing OEE Data

    The OEE Calculation

    Storing OEE Data

    Reporting OEE Results

    In Conclusion

    Summary

    Reflections

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    Chapter

    4

    mproving

    O

    Chapter Overview

    Why Analysis

    Autonomous Maintenance

    Focused Equipment and Process Improvement

    Quick Changeover

    Stage :Separate Internal and External Setup

    Stage 2: Convert Internal Setup to External Setup

    Stage : Streamline All Aspects of Setup

    ZQC (Mistake-Proofing)

    Poka-Yoke Systems

    P-M Analysis

    In Conclusion

    Summary

    Reflections

    Chapter

    5

    Reflections and Conclusions

    Chapter Overview

    Reflecting

    on

    What You ve Learned

    Opportunities for Further Learning

    Conclusions

    Additional Resources on TPM, OEE, and

    Equipment-Related Losses

    Training

    and

    Consulting

    Packaged Education and Support

    Conferences and Public Events

    Newsletter

    Website

    bout the Productivity Development Team

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    Smoothly operating equipm en t is critical for inanufacturing today.

    Most processes use m ach ines to add the value c~ istorners ay for.

    In an environment that is more competitive than ever, factory

    ma chin es have to work dependably to supply products \vhen the

    custo~iier eeds them. Yet factories eveqwliere are plagued with

    ma chine problems of one type or another. Tl ie conipanies that are

    pulling ahead in the production race are those that understand

    their equipnient problems and take steps to eliminate them. T h e

    key to this understandiiig is overall equipment effectiveness.

    Overall e quipm ent effectiveness (O EE) is a me asure that shows

    how well the equipment is running. It indicates not just how

    many procluets tlie m ach ine is turning out, bu t how mu ch of the

    time it is actually working-and what percen tage of the outpu t is

    good quality. Because it reflects these th ree imp ortant things,

    O E E is an important indicator of tlie healtli of tlie equipm ent.

    Tl ie condition of the equ ipm ent isn't just a ma inte nan ce issue

    anymore. In Total Productive Mainte nanc e ( TP M ) approaches,

    equipme nt operators help prevent equ ipme nt problems through

    their knowledge and familiarity with the machines. Operators also

    monitor the ma chine conclitions used for calculating O EE . This

    book is intended to sha re basic lea rning tha t will help you partici-

    pate effectively as your compa ny applies O E E and begins to

    reduce equipment-related losses.

    Ch ap ter lays a founda tion with basic definitions related to Total

    Productive Ma intena nce and O EE . You

    sill

    learn why it is

    important to track effectiveness rather than effieienc y..~ha pker

    introduces the three eleme nts of O E E and their connection to

    key types of equipment- rela ted losses-problems and wastes that

    reduce a macliine's effeeliveness. Th is is

    a

    basic framework that

    can be adapted to measure and begin to improve equipment

    problems in many different industries.

    "'Tlie OEE calciila tion and loss framework used in this Look relntes most directly to

    discrete parts menufacturers, ratlrer than process industries, wliicii face sliglrtlg diffcr-

    en issues, For inore or1 ineaso remco t in process in d~ ~s tr ies,ec Sozuki, cd.,

    TFM

    n

    Process liidrrstries (Productivity, 1994).

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    P U B L I S H E R ' S M E S S A G E

    Chapter 3 offers a step-by-step ovenliew of the process of doing the

    O E E calculatiori. O n e basic aspect is sliopfloor involvernent. It's

    important for date to be collected on tlie shop floor and turned

    into information for use on the shop floor-not confined to an

    of ice or i~ifo rniation epartrnen t. Th is cliapter also dcscrilies how

    to define what to measure and how to collect and process OEE

    data. It gives examples of different i~ iforn iationdisplays that O E E

    data can generate (computer software is helpful for this).

    Cliqitcr 4 ktalks ab ou t how to respond to O E E information to fix

    the problems. It introduces thc

    5

    Why nietlioil, autoriomous niain-

    tenance, focused equ ipm ent iniprovement, quick changeover, niis-

    take-proofing, and 1'-h4 analysis. Cha pte r

    5

    lielps you review your

    learn ing and suggests :additional resources for exploring key topics.

    It is imiioriant to remember as you read that this material is a

    general oricniation to

    a

    coniplex topic. Application and master).

    of overall equ ipm ent effecliseness often requires a deeper under-

    stancling of the production nie ch an istn lie process of tising

    OEE is best supporfcd by experienced consultants and trainers

    who can help you tailor

    it

    to your company's specific situation

    and address issues that may come up.

    Th is book incorporates a num ber of features that will lielp you

    get the niost from

    it

    Each cliapter begins with an o v en k w of tlie

    contents. T li e book uses many illustrations to share inform. t' on

    and examples in

    a

    visual way. Icon sy~iibolsn the margin flag key

    points to reniember in each section. And Take Five questions

    built into the text provide a framework for applying wliat you've

    learned to your own situation.

    O n e of th e niost effective ways to use this book is to read and clis-

    cuss it n it h other eniployccs in group learning sessions. We have

    deliberately planned the book so that

    i t

    can be used this way, with

    chunks of information that can be covered in a series of short ses-

    sions. Each chapter includes reflection questions to stimulate

    group discussion.

    Somc tmditior~alippro clies to OLL use I two-par t forn~~~l;ior caleii lati~ ig erfor-

    mance thnt uses cycle time

    ;IS

    an elenient. Altlxn1g11 he two-part for111111a ields

    infor i~~ationlmt III~IJ.be ii l lor a d r a ~ ~ c c~mlysis,most teaiirs just starting out wit11

    OEE d o not n eed that level o f detai l. For llmt reason, this bonk follows n sirr~p lcr

    ;~ppm;tc h, ~ s e r ly Arno Koch of illom Co~~s~tlt:irrcyn his O 7bolkit sof tu re ,

    w l~ ic h oillpares aetlrd outp ut to the potcl~ti;dotllpilt if tile

    I I I ?

    m e were

    performing at its top speed.

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    P U B L I S H E R S M E S S A G E

    Th is book is especially lielpful when used with the O E E Toolkit

    sofhvare packagc (Productivity, 19993, \vliicli was developed by

    Arno Kocli of Bloni Consultancy to meet liis clients

    need

    for a

    simple and flexible approach to O E E tracking. Tl ie O E E Toolkit

    is an easy-to-use application for capturing O E E data a nd creating

    a

    wide range of reports from it. Tlie nianrial that comes with tlie

    software teaches a people-centered approach to O E E measure-

    m ent and reporting

    lie overall eq tiipinen t effectiveness measure is simple an d uni-

    versal. It is used to measure and i~iiprove quipm ent conditions

    in companies all over tlie world. We hope this book will tell you

    wliat you need to know to rnake your participation and use of

    OEE active and personally rewarding.

    cknowledgments

    T h e development of O E E for Operators has been a team effort,

    and we greatly app rec iate tlie eoritribution of everyone involved.

    The book was motivated by tlie approach to OEE developed by

    Arno Kocli of Blo~riCo nsu lta~ icv nd further s~ipportecl y

    Itis

    O E E 7bolkit so ft w re package. co n te n t aclvisors included Jolin

    Jac into of Am tes an d Bob Strout of Lemforder C o. , as well as

    Productivity consu ltant Jolin Mon aco a nd

    ?PA4

    Report editor in

    chief Barry Sliulak.

    Lorraine h4illard of Productivity managed tlie prepress produc-

    tion and nianu facturing , with editorial ;~ssistance rom Pa uline

    Sullivan. Graphic illustrations were created by Guy Roster

    and Lee Sm ith , with cartoon illuslrations by G uy 130ster ;ind

    I-lannali Uonner. Cover composition was by Mark Weinstein

    of

    Produciivity, wit11 cover ill~~slrationy Gary Ragaglia of

    Tlie Vision Group. Page composition was done by

    William

    1 1.

    Brunson Typography Services.

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      P U B L I S H E R S

    M E S S A G E

    Finally the Product iv ih staff wishes to acknowledge the good

    work of the many people who are in the process of implement-

    ing Total Productive Mainte nanc e a nd using

    OEE

    in their own

    organizations.

    We

    welco me your feedback abo ut this book as

    well as input about

    1 1 ~

    e can continue to serve your iruprove-

    ment efforts.

    Steven

    tt

    resident

    Karen Jone s

    roductivity

    evelopnzent

    Team

    x v

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    The Purpose of This ook

    O E E for Operators was written to give you the infonrlution you need

    K e y Po n

    fo participate in using the overall equipment ef ec ti~ wms OEE)

    measure in your workplace. You are a valued m em be r of your com-

    p a y s team; your kno\vleclge, support, ancl participation are essen-

    tial to the success of any major effort

    in

    your organization.

    T h e paragraph you have just read explains the author s purpose

    in writing this book. It also explains why your company may wish

    you to read tliis book. But why are you reading this book? This

    question

    is

    evcn more important. What you get out of this book

    largely depends o n your purpose in reading it.

    You may be reading this book because your team leader or man-

    ager asked you to do so. O r you may be reading

    l

    because you

    think it will provide information that will help you in your work.

    By the time you finish Ch ap te r 1, you will have a better idea O

    how the information in this book can help you ancl your compa-

    ny measure equipment-related losses and plan how to improve

    equip ment effectiveness.

    I L X G R O Y U

    W hat This ook Is ased

    On

    This book is about an approach for measuring equipment-related

    losses that limit th e effecti\~eness f manufacturing equipm ent.

    Many of the ~netliods iscussed here were originally developed

    at conipanies working with the Japan Institute of Plant

    Maintenance, a pioneer

    in

    the ap p r o d i known as Total

    Productive M sintenan ce, or

    I PM.

    Since 1988, Productivity, Inc.

    has nladc information about

    T P M

    approaclies available in the

    United States through publications, events, training, and consult-

    ing. Today, top conlpanies around the world are implementing

    TPA4 to stistain their competitive edge.

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    G E T T I N G ST R T E D

    igure

    1 1.wo

    Ways to

    Use

    This Book

    O E E for Operators clraws on a wide variety of Productivity's book

    and training resources. Its aim is to present the main co nc c p~ s

    and techniques of I IJPI and overall e qu ipm en t effectiveness in

    a

    sim ple, illustrated form at that is easy to read an d understancl.

    Thi s book also co~ iiplc rnen tshe O E E ofkit sofhvare package as

    a way to build a shared ~tnclerstanding mong workteam mcmbcrs

    before they begin using O E E .

    Two

    Ways to

    se This Book

    T h e re are at least hvo ways to use this book:

    I.

    s

    the reading inaterial for a learning group or stttdy group process

    wit in

    your company.

    2. For learning on your own.

    Your cornpany may want to hold a series of learning group discus-

    sions based on this book. Managers may assign the book for back-

    grou nd reacling wh en the co m pany uses the O E E Toolkit sofhvare

    package. O r, you m ay read this book for inclividual lea rnin g with-

    ou t forn3al gro up discussion.

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    G E T T I N G S T R T E D

    How to Get the M ost Out of Your Reading

    Becoming Familiar with This Book as a Whole

    T h e r e a r e

    a

    few steps you ca n follow to m ake it easier to absorb

    h e nformat ion in th is book. Take as mu ch t ime as you need to

    be co m e familiar with the material . First, ge t a big picture view

    of the book by do ing th e following:

    I. Scan the Contents (pages

    v

    tlirottgli 141) to see liow

    OEE

    [or

    Operators is arranged.

    nil 0 S I P P

    2.

    Read the rcst of this section for an oven,iew of the book's con tents.

    3 Flip through the book to get a feel for it style, flow, an d design.

    Notice liow the cliaptcrs are structured and glance at the pictures.

    Becoming Familiar with Each Chapter

    After you l ~ w e sense of th e s t ructure of OEE for O perc ~tors , re-

    pare yourself to s tudy o n e chapte r a t a t ime. For ea ch c hapter , we

    suggest you foiiow these s teps to ge t h e mosl o ut oFyour reading:

    Read the Cllapter Otervieic on tlie first page to see where the

    chapter is going.

    n w

    t o s t p s

    2.

    Ylip through the cha pte r, looking at the way it is laid ou t. Notice tlie

    bold headings and the key points flagged in the margins.

    3.

    Now read tlie chapter. How long this takes depends on nhat you

    already know about the content, and what you are trying to get out of

    your reading. Enhance your reading by doing tlie follotvitrg:

    Use the niargin assis15 lo help you follow tile flow of inforrnation

    If the book s your own , use

    a

    liighligltter to mark key inforrnation

    and answers to your questions about the material. If the book is not

    yoiir own, take notes on

    a

    separate piece of paper.

    Ansner the ' M e Five questions in the text. These will lielp

    you absorb tlie in fo r~ n at io ~ ~y reflecting on how you migltt apply

    it at work.

    4.

    Read tlie Chapter Surnmar). to confirm what you have learned.

    I f

    you don't remember some thing

    in

    ih e suliimary, find that section in

    the chapter and review it.

    5 l'inally, read tlie Rcflcctior~s qwstio ns at the end of tile cl~apt er .

    Think about tliese questions and write down your ansum. I+id

    an

    expcricnced person to ask if you find

    a

    topic conft~sirtg.

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    G E T T I N G S T A R T E D

    igure 1.2.Giving

    Your Brain a

    Framework

    for

    Learning

    ow a Reading Strategy Works

    \Vhen rcadine a book.

    aeonle tliink tliev siiould start with

    .

    tlie first word and read straight tlirougli until tlie end. niis is not

    usually tlie best way to learn from a book. l lie steps de~ cr ib cr l n

    page

    s v

    are a strategy for making your reading easier, more fun,

    and more effective.

    Reading strategy is based on two simple points about the way

    people learn. The first point is thk: It is difficult for your bruin to

    absorb rlew infonilcrtio~l f it does not h a ~ v str~ictureo place it

    in. A an analog);, imagine trying to build a house \vitlioul first

    putting up a framework.

    Like Bnilding

    a

    frame for

    a

    liouse, you can give your brain a

    framework for the new inforru;~tion n tlie book by getting an

    overview of the contents and then flipping tlirough the materials.

    Withi11 e:~clich;ipter, you repeat this process on a sniallcr scale

    by reading the overview, key points, and headings before reading

    the test.

    The se co ~i tl oint abo ut learning is this. It is

    I

    lot easier to lean1 if

    you take in the infonncition one layer a t a time, instead of frying t

    ubsorh it a l l at once . It s like finishing the nails of liouse: First

    you lay do\vii a coat of primer. \\ lien it s dry, you apply a coat of

    paint, and later final finish coat.

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    G T T I N G S T A R T E D

    Using

    th

    Margin Assists

    s

    you ve notice d

    by

    now, this book uses sma ll images callecl mar

    girt assists to help you follow the iriforniation in each chapter.

    ?

    her e a re six types of margin assists:

    Background

    Information

    Sets the stage for what comes nest

    Key Term

    Defines important words

    Key Point

    I-liglllights irnporiant ideas to remember

    Example

    W p s you understand the key points

    New Tool

    Helps you record data or apply

    learning

    How to St ep s

    Indicates the sequence for

    improvement action

    Overview of the Contents

    Getting Started pages xv-xx)

    Th is is the section you re reading now. It es pl ai ~i she purpose of

    OEE

    for

    Operators an d how it was w ritten. T h e n it shares tips for

    getting th e mo st ou t of your rea ding. Finally, it presents this

    overview of eac h cha pter.

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      G E T T I N G ST RTED

    Chapter 1 About TPM and OEE pages 1-8)

    Cha pt er 1 introduces and defines Total I roductite i\ilaintenance

    and overall equipme n1 effecti\seness. It explains reasons ivhv O E E

    is an important measure to track and describes the role of the

    shopfloor teani in collecting and using OEE clata.

    Chapter 2 . Understanding Equipment-Related Losses

    pages 9-23)

    Ch apt er describcs the three eleme nts of O E E and links them to

    the main types of losses that lower equipment effectiveness.

    Chapter 3. Measuring OEE pages 25 -38 )

    Chapter

    3

    offers guidance in measuring overall equipnient effec-

    tiveness, incl~rding

    ollecting

    and processing data arid using the

    resulting information on t he shop floor. It tells abou t defining

    what data to lucasure for the O E E calculation, doing the calcula-

    tion, and storing the data so you can report the information in

    cliffcrent ways.

    Chapter

    4

    Improving OEE pages 39-56)

    Chapter 4 covers essential approaches for improving overall

    eq uipm en t effectiveness. Topics inc lud e Why analysis, the

    a u t o ~ ~ o ~ n o u saintenance and focused im provement pillars of

    TPR4

    specific approac lies for setup and defect losses, and the

    advanced P-M analysis approach for chronic problems.

    Chapter 5 Reflections and Conclusions pages 57-63)

    Chapter

    5

    presents reflections on and c oncl~ ision so this book.

    It also describes opportunities and specific resources for further

    learning about O E E , TPh.1, atid related tecliniq~ies.

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    I

    C H P T E R

    What

    s

    TPM

    Overall ecjuipment effectiveness (O EE) is a key measurement in

    the i n~ prov em en t pproach called Total Productive biaintenance

    (TP M). Before you begin learning abou t OE E , it is useful to

    understand a little bit about TP M .

    TPM is a companywide approach for improving the effectiveness

    e y o i n t

    arzd longevity of machines. It is key to lean manufactitring because

    it attacks niaior wastes in operations. Developed origi-

    nally to hc lp a supplier m eet the stringent recjuirements of the

    Toyota Production System, T P M is used today in companies

    around the world to improve the capability of their equipment.

    TPhiJ

    has number of waste-reduction goals, including equipment

    restoration and muintencrnce of standurd operating conditions. TPM

    methods also improse equipment systerns, operating procedures, und

    nzainterzance and design processes to asoid f it ur e problems.

    T h e main strategies used in T P M are often referred to as pillars

    that support the smooth opera tion of the plant. F igure 1-1 sum-

    marizes the activities in eight basic pillars of TPM.

    T h e overall eq uip ment cffectiveness measure is important to

    many of the TP M pillars, but is probably most important to tlie

    first four pillars in the figure. This is because these pillars can

    directly influence O E E througli daily operations, ma intenance,

    or improvenient activities.

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    A B O U T T P M A N D

    O E E

    h t o n o r n o ~ ~ s

    maintenance

    Qu;tlity ma intena nce

    Figure 1 1.

    asic illars of TPM

    ctivities

    Operator in vol\w ~re nt n regular

    cleaning, inspeclion, lulxication,

    an d learning about equip me nt to

    mainlain basic conditions and spot

    early signs of trouble.

    Aclitities to m anage pro duct

    qud itl; by nraintaining optirnal

    operating cortditions.

    h l e th o t l~o h r t e n the lead Lime

    for getting n e n cquipmenl o ~ ll in c

    and making tlcfect-frec l rotlucts.

    Safe 9 training; integration of

    sa fey checks, visual controls,

    and mistake-proofing devices

    in daily work.

    planned program for cleveloping

    crnployce skills and kno\\*ledge o

    srtpport TPh4 in rpl en ~e nlt on.

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    C H A P T E R

    ..

    . ...

    :

    K e y

    T e r m

    T e r m s

    K e y

    Po i n r

    What Is

    OEE

    and Why Is

    t

    Important

    Mm ufacturing companies are in business to make money, an d

    they make m oney by add ing value to materials to mak e products

    the customers want.

    Most companies use rnacliines to acid valtic to tile prodrtcts.

    To add value effectively, it is important to rtm the machines

    effectively, with as little waste as possible. O ~ ~ e r a l lquipment

    effectiveltess is a nreasurerr~ent sed in TP to indicate Itow effec-

    tively ~na clt ine s re running.

    W ha t do we m ean by overall equ ipm enl effecti~~encss?lilany

    people are familiar witli the idea of efficiency, tvliich ~ ~ s u a l l y

    reflects the cjuantity of parts

    a

    inachine or a person can p rod ~i ce

    in a cerlain time. OEIS is rlifferent from efficiency in several ways.

    Quantity Over ime Is Only Part of OEE

    mac hine's overall effectiveness inclucles mo re than h e quantity

    of parts i t can prod uce in a shift. W he n Jve m easure overall equip-

    m ent effectiveness, we a cc on nt for efficiency as oilc factor:

    krfomicriw?:a co~nparison f the actuai outpttl with what llle

    inachine should be producing

    in

    the same time.

    In addition to performance, however,

    OEE

    incl t~des\vo

    other factors:

    i\,.ailahility: a comparison of the potential operating time and the

    time in which the machine is actually making products.

    Qualit).: a coinparimn of the number of products made and the

    nurnber of protllicts that meet the customer's spccificatioiis.

    When you nrultiply perfortnance, a~,cdability, nd qualify, you get

    the overall equipment effectiveness, which is expressed us ct percent-

    cige. OEE gives a co m ple te pictu re of the machine's health -

    riot jusl how fast i t can niake parts, but how ~ u u c hhe potential

    ou tpu t was limited d u e to lost availability or poor quality (see

    Figure 1-2). In Chapter 2 we will look more closely at these

    Lhree elemen ts and lio\v they work together.

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    A B O U T

    TP

    A N D

    O E E

    Effectiveness F ocu ses on t he Equipment

    Not th e Person

    Unlike s o ~ n e ses of tlie efficiency measure, O E E monitors the

    machin e or process that adds the value, not

    tlie

    operator s produc-

    tivity. tV11er1 we nmisure O E E , we look cit floiv well the equip ment

    K ~ o i n t

    or process is working.

    The Purpose

    o

    Measurement s Improvement

    Measuring O E E is not an approach for criticizing people. It is

    strictly about improving the equ ipm ent or process. Used is a17

    impartial daily sttapshot of equipment conditions, O E E prornotes

    openness

    n

    inform tion sharing crnd c~ no-hlarne cipproach in licin-

    dlirzg eqni/1rner7t-reluted issues.

    Th ese key differences Iiighlight tlie importance of O E E as a bal-

    anced measure that I~elpsupport improvement and profitability.

    T A K E F I V E

    Take five m inutes to think about these questions and t o write

    down your answers:

    Does your company currently measure each machine s efficiency?

    Its available running time? Its quality rate?

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    C H A P T E R

    Rgure

    1 3 Collecting Data and Turning

    it into

    Information

    The Role of the Shopfloor Team in Using

    O

    This hook is written for so u, the sfiofifloor einiiloyee, because vou

    h a w a big stake in the lzecrfth o/tlt; production kpip in ent.

    operators, you manage the ecluipment that adds value to the procl-

    uci. Wh en the ni;tchines break down, run too slowly, or produce

    defects, you have to \vork longer ancl harder to rnake t ~ por tlie

    problems. 'Tlie pressure these problems creates is a good i~icentive

    to measure diem ancl start improving them.

    What more, your daily work ivit11 the machines puts you in the best

    position to inonitor their probleins. You know how long a ~iiacliine

    is shut down for setup, or w l ~ e ~ iinor stoppages get in tlie way of

    Iiigh-speed operation, or when you have to run slower to avoid

    defects. In many cases, yokt already track the data that will be used

    to calculate the overall equ ipm ent effectiveness.

    Sharing in/orination on the plant floor through gruphs and discus-

    sion is the heort of TPiV (see Figure I-?). '['lie O E E information

    isn't rtseful when it is locked away in an office. 'The best approach

    for applying O E E gives operators a leading role in ga ther ing daily

    data, coriverts the data into useful inforniation, and applies the

    information in

    the workplace to support improvement.

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      A B O U T T P M A N O E E

    O ve rd l e qui pm en t cffcctivcncss ( O E E ) is a key mcasurc-

    m e n t in h e irnprovcmcnt approach called Total Productive

    Main tenance

    (TPM).

    TPM

    is

    a

    com panyw ide approa ch for improving tlie effectivc-

    liess and longevity of niacliincs .

    TPM

    has

    a

    nu m be r of waste-reduction goals, inclu din g cquip-

    m en t restoration arid main tenan ce of standard ope rating con-

    ditions.

    TPM

    rncl l iods also irnprove equipment systcms,

    operating proc cd t~r cs, nd ma intena nce ancl design processes

    to avoid f ~ ~ t u r er o b l c ~ m .

    Overall cquiprncnt effectiveness is a rne:~surernent used in

    TPM

    to ilidicate how effectively nia chinc s a re runnin g.

    Overall equipment effectiveness is not the same as cfficiency,

    wliich usually me an s liow many parts a m ac liin c or a person

    can produce in a certain time. O E E is different in se ~ ~ e m la p .

    Quuntity o iw tirile is only one port of O EE .

    macliine s overall effectiveness inclutlcs more than the

    quantity of parts it can protluce in

    a

    shift. O E E inelucles

    efficiency as one factor-perforttiatice-but also hvo o ther

    fa ct or s- av ni la bi i and quality. Wlierr you intiltiply perfor-

    mance , availability, and qttality, you get the overall cquip-

    tnen t effectiveness, wliicli is cxpresscd as a

    percentage.

    Effcctitmess foctrses on the ecpiprrrent or process, riot

    tlie person.

    W hen we mcasure OEl:, we pay attention to how well

    tlie cq ~~ ipn ien tr process is perfonnirig, not tlic operator s

    productivity.

    Tile purpose of rneosurement is irrtprovemcnt.

    Used as an impartial dally snapshot of tlie cquipmetit, OEE

    promotes openness

    in

    infornialio~i l~ariiig nd a no-blame

    approach in handling ccpipment-related isstlcs.

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    O E E F O R

    O P E R A T O R S

    * T h i s book 1s written for you, [lie shop floor em plo ye e,

    because you have a big stake

    i n

    tlie liealtlt of tlie production

    equipment.

    What s more, your daily work with the macliincs

    puts you

    in

    thc besl position to monitor lheir problems.

    Sharing information on the plant floor tlirougli graplis and

    discussion is tlie heart of

    TPM

    R E F L E T I O N S

    Now that you have completed this chapter, take five minutes

    to think about these questions and to write down your

    answers:

    What did you learn from reading this chapter that stands

    out as particularly useful or interesting?

    Do you have any questions about the topics presented in

    this chapter? If so, what are they?

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    C H A P T E R

    igure

    2 1.

    deal and Actual ffectiveness

    Losses Reduce Overall quipment

    ffectiveness

    W ha t makes mac hine s less effective than they could be? Tli e

    ideal, totally effective machine could run all the time (or when-

    ever needed). It could ma inta in its maximum or standard speed

    all the time. t \ V O L ~ ever rliake defective products.

    But most tiiachincs aren t ideal. Th ey ca nno t run continuously.

    The y cann ot maintain maxitnum speed wit ho i~ t roblems. And

    they make defects.

    Th ese p ro b le m are faniiliar forms of wask-they don t add value

    to the products. T he y reducc a machine s effectiveness, as mea-

    sured by the O E E . The conditions th at cause these machine prob-

    p m

    ferns are called equipnlent-related losses. Uilderstandirig the differ-

    ent types of equipment-related losses will give you a framework

    for applying O E E and participating in improvem ent activities lo

    reduce the losses.

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    U h D E R S T A l . O I Y G

    E Q L I P h l E N T

    R E L A T E D

    L O S S E S

    .

    T h e equipment-related losses that are important for O E E are

    linked to the three basic elem ents inertsured in O E E : availability,

    performance, and quality. Traditional TPM approaches track

    XI

    T e l n

    Six Major Losscs :

    hailability Perforrnrince:

    Quality:

    Dow ntime losses Speed losses Defect losses

    1%1

    u m

    Minor

    stoppages Scrap and rework

    Selup tinic

    Reduced

    operaling speed Starlnp loss

    Alth o~tgli om e companies link i~icliviclualosses to different O E E

    categories, or add otlier losses that are especially significant for

    their operations, this basic framework is a t~ se ful tarting point

    for many comp anies. Figcue

    2 2

    on tlie nest page gives a visual

    image of tlie

    9

    in which these losses reduce the overall equip-

    me nt effecti\~eness f a ma chine.

    T AKE F I V E

    Take f ive minutes t o think about this quest ion and to w rite

    down your answ er:

    What are some of the situa tions that keep your machines from

    running at an ideal level of effectiveness?

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    C H A P T E R

    OEE

    =

    B A

    x

    D/C

    x

    F/E

    x

    1

    ~v ailh bil i ty ~erfdrmance Quality

    Figure 2 2.

    The

    OEE Elements and the Equipment-Related Losses

    Visualizing OEE and the Losses

    Figure 2-2 makes it easy to see itow

    OEE is

    derivcd from the three

    elerrients, expressed

    as

    fractions. Each pair of bars stands for on e of

    the fractioris-availabiliQ (BIA), performa nce

    (DIC),

    an d cpality

    (FIE). The fractions arc often multiplied

    y 100

    to trrrn them into

    percentages or rates.

    Availability

    Bars

    A

    a d represent availability. Unsclieduled time shortens

    the total

    operating

    time,* leaving ne t operating time (A). But the

    Compan ies eou i i t

    l l i i s

    t i ~ r i e

    ll

    different

    ways

    b u t

    for

    l l i s

    discusniori , we sd,tract t l ~ e re

    periods from t l lc t u t d u p c r at i ng l i m e .

    2

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    U N U E H S T A N D i h G E Q U I P h l E h T - R E L A T E D

    LOSS S

    ~nacl t ines frequently down dur ing som e of that time, usually du e

    to breakdo\vns and se tup. Subtracting that downtinie leaves the

    running time (B) in which the machine is making product.

    l a n p i e

    erformance

    Bars

    C

    and D represent perform;tnce. During the running time,

    tlie machin e c o~ tl d roduce a target o ui pi t quantity

    (C)

    if it ran at

    its clesig~led peed the whole time . But losses such as minor stop-

    pages arid reduced operating speed lower tlic actual outp ut (D).

    acluul orrfprrt 15,000 pmtsLTxur~tple:

    =

    .60 prfinrrurrce

    x

    100

    =

    60 )

    target otr fpu f 20,000 purls

    t n a n o l e

    Quality

    Bars E and 1 represent quality. Of t x actual output (E), most

    of the p roduct is good outpu t (F). But usually some ou tpu t falls

    short of the specified quality and must be scrapped or reworked.

    Scrap is often produced during machine startup as well, lowering

    the yield from the inaterials.

    good ou tp ~t t 11,760 parts

    Exria~ple: =

    . 18

    qualify

    x

    I00 = 98 )

    ucl~rrrl utput

    12,000

    parts

    Figure

    2-2

    shows how losses to availab ilih, perfont~unce, n d

    quality corrzpourzd to reduce the amount ofgood output CI n~uchine

    H ~

    o nt

    cun produce during a sh i f t You can improve quality to raise tlie

    quantity of good output a little bit-but the total quantity won t

    rise draniatically unless you also improve both

    performance

    and

    availability.

    The fortnula at tlie bottoni of Figrtre 2 2 shows how lo ~nultiply

    the three elements to gct the OE E .

    T h e rest of this chapter will look more closely a1 the losses associ-

    ated with these elcmcnts.

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      e y P o i a t

    Key o l n l

    C H A P T E R 2

    Figure 2 3 Downtime Losses Failures and

    Setup

    Availability Downtime Losses

    ailures

    Avuifubility is reduced by equipzrrent fuilures, tvliicli are a com mon

    occurrence in many plants. RiIacliines used for prorluction gener-

    ally have lots of moving parks and vari o~ts ubsyste~iisn wliicli

    hiings ca n go wrong. Il lien they do, the n iacl iine breaks down-

    and stays down ~ ~ n t i lepairs are completed.

    Many oftl ie causes of ri~uclrine i~ ilu reive wurrting signs before

    the rriuclri~~ectuully Irreuks. In Cliapter

    4

    1ve will look at liow

    autonomous maintenance activities can help spot early trouble

    signs in time to prevent major breakdowns.

    Setup

    Time

    rh~uilubi lity s also reduced by the time it tulies to set up the

    tnuchine for u different product. hi addition to cliarigirig tlic value-

    adding parts, a cliangcover requires some preparation or make-

    ready.

    t

    may ~ nvolve leaning and making adjuskmcnts to tile

    machine to get stable quality in the nest product. Too oftcn, it

    also in~ol ve s unn ing arou nd to find tools, parts, or people. \lJe

    will considcr an approach Tor retlucing sct~tpime in Cliapter

    4

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    Figure 2 4. Downtime Losses Cutting

    Tool

    Loss nd Startup Loss

    Other Losses to Availability

    Failures and se tup losses were the original losses counted

    as

    clow~itime hat recluces availability. Som e cornpanies also track

    other losses as dow ntime depe nding

    11

    d i a t losses they are

    trying to improve. Cutting tool loss startup loss and time not

    schednled for production are three other losses tracked as down-

    time a t some plants.

    utting Tool

    Loss

    K e y P o i n t

    Rreukuge of cutting tools during production cuuses unpluz~ned

    downtinze while the tool is replaced. Altliougli this is teclinically a

    subset of failure ancl repair losscs som e companies track it sepa-

    rately because of the potential for injury ancl product defects as

    well as the cost of tool replacement. Planned maintenance and

    autonoriioi~smainienance activities help reduce these losses.

    tartup

    Loss

    Startup loss is traditionally in c l ~ ~ d e ds a defect loss since its

    essenie is the prod~tct ion f defective products during

    startup.

    I-lowever sturk~poss involves lost time until good pod~rction~cune

    K Y p o i n t

    stubilized so

    t

    is logical to st~b tractt From available time as well.

    5

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    C H A P T E R

    Figure 2 5 Downtime Losses Unscheduied Time

    Time ot Scheduled for Production

    In some con~p anie s,when rnacl1ines are stopped for meetings,

    preventive maintenance, or breaks, the time is considered

    not schecluled an d is no t coun ted in the availability rate (see

    Figure 2-5). Ot he r c o~ np an ie s ecognize that even necessary

    activities like tliesc redu ce the available prodnction time. They

    may clccide to cons ider time not scheduled as a dow ntime

    loss that lowers the availabiliky rate.

    Counting tmscheduled time as

    I

    loss cut1 erzcotrrage creative ideas

    e y o i n t

    for reducing the loss-without eliminnting the uctivify. For esam -

    ple, after measuring the produckion time lost from scheduled

    breaks, employees at one company developed a plan to alternate

    their breaks and briefly cover each other's stations.

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    U N D E R S T A N D I N G

    E Q U I P M E N T . R E L A T E 0

    L O S S E S

    Likewise some companies co un t of f l ine t ime for preveniive

    m ain ten an ce as do\vntirrie. Again the p o in t s to rcduce the t i rue

    loss n o t to el im ina te the activity.

    T K E

    F I V E

    Take five minutes to th ink about these qu est ions and to w rite

    down your answers:

    How much time is lost each month due to failures and repairs in

    your area?

    How much time is spent each month on setup and make.ready in

    your area?

    Would you count other time losses for OEE purposes? Why or

    why not?

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    C H A P T E R

    Performance Speed Losses

    Reduced perating Speed

    Mac hines often

    nrn

    a t speeds slo~ver han they were designed to

    nm One reason for slower operation is unstable product quality

    at the designed speed. In other cases, people don t realize h a t the

    equip men t is designed to run laster. We tvill look in Cliaptcr at

    how to determine speed for the OE E ealculalion.

    inor Stoppages

    Minor stoppages are events tha t interrupt the production flow without

    actually making the rnaclrine fail. I ltey often occur oil autoruated

    lines, for example witen product components snag on the conveyor

    (see Figure 2-6).

    Minor stoppages can make it impossible to run autom ated equip-

    men t without someo ne to monitor it. Tllese stoppages may seem

    like p e t p annoyances, but they add u p to big losses a t many {da nk .

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    U N D E R S T A N D I N G E Q U I P M E N T R E L A T E D LOSS S

    h h o r stoppages last only a few seconds, so we don t try to log the

    time lost. Instead. we in c lt ~ d elieni in r~erformanceosses that

    redu ce t he produ ct ou tpu t. We will look at approaches for recluc-

    ing speed losses in Chapter 4.

    T K E F I V E

    Take five minu tes to think about these questions and to write

    down your answers:

    Do you know the designed speed of the machines in your area?

    Do minor stoppages happen in your area? What causes them?

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    C H A P T E R

    2

    igure 2 7. Defect Losses:

    Scrap

    Rework,

    and Startup

    Loss

    Quality: efect Losses

    crap

    and

    Rework

    I'roducts that do not m ee t customer specifications are a familiar

    loss. Clearly, scrap that canno t be reused is a waste of m;~terials .

    Even w hen pro dt~c ts an be reworked, the effort spent to process

    them hvice is a waste.

    tartup

    Loss

    Many machines take time to reach the right operatiltg conditions at

    e y

    startup. n the n~eatztime, hey

    nay

    turn out defictive products

    while operators test for stab le output. Som e com panies simply

    incl ude this sta rtup loss in scrap and rework; others single it out

    as a specific loss to track*

    r\s nreiiticrncd in th e section or1 do w ~l ir ti eosscs, same co rti pn ier also sir&

    out

    the

    slnrlup period bcforc tlic i r s t good prc~rliict s I special

    vp

    of do\vntime to h c k .

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    U N D E R S T A N D I N G E Q U I P M E N T R E L A T E D L O S S E S

    Quality ~x ob le m s appen when the op tin ~u m onditions do

    not

    exist at the m om ent \d ie n a person or m ac hine works on the

    product In Chapter 4 we will look at a meihocl for preventing

    defects

    by

    chec king and controlling the necessary conditions

    T K E

    F I V E

    Take five minute s t o think about these questions and to write

    down your answers:

    What is the defect rate for machines

    n

    your area? Do you think

    this can be reduced?

    Are startup losses a significant problem in your area?

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    O E E F O R

    O P E R A T O R S

    T h e ideal, totally effective mach ine would run all the time (or

    n.henever needed), at maximum or standard speed, with no

    quality problems. But most machines can't meet tlicse ideal

    conditions. They can't run continuo~~slyr at maximum

    speed; they experience minor stoppages, an d tlicy m ake clefec-

    tive parts.

    T l ~e se roblen~seduce a inachine's effectiveness, as nieasured

    by the O E E . Tl'lic conditions that cause these probleins are

    called eqrtipmerit-related losses. Linked to the three basic ele-

    mcnls of OE E , they include the traditional Six Major Losses :

    AvailabiIity: 1'crfonn:rnce: Q.;ility:

    Downtime losses Spceci losses Defect loss s

    Failures

    Minor stoppages

    Scrap

    and

    i work

    Setup time Reduced operatir~gpeed t;~rtuposs

    itlt lio t~ gh ome c ompanies link individual losses to different

    O E E categories, or add otlier losses illat are especially signif-

    icant for their operations, this basic framework is

    a

    i~scful

    starting point.

    O E E is derived from the tliree elements , esprcssccl as fractioris.

    'i'l~efractions arc often multiplied by 100 to turn tlicni into per-

    centage s or rates. Losses to tl m c tliree elements rcdtice tltc

    arriount of good outp ut

    a

    ma chine can produce during a shift.

    Do wntime losses arfcct availability. Eailtires and setup time are

    com nion losses tracked.

    So~ii e ompanies ;dso track otlier losscs as downtime, depend-

    ing on what tlicy arc trying to intprove. Cutting tool l o ~ s ,

    startup loss, and time not scheduled for production

    are

    three

    other losses son~ etiniesracked as downtime.

    Speed losses affect performance. h h o r stoppages and opera-

    tion at reduced spced are often measured as speed losses.

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    U N D E R S T A N D I N G

    E Q U I P M E N T - R E L A T E D L O S S E S

    Defect losses affcct quality. The y inclu de scrap a nd rework whcn

    Ions.

    roducts do no t me et custome r specific.

    I

    Also many macllines turn out dclcctive products during

    startup while operators test for stable oulpttt. Some conipa.

    nics i n c l ~ ~ d ehis loss in scrap and rc\vork; others single i t

    ou t as a specific loss to track.

    R E F L E T I O N S

    Now that you have completed this chapter, take five m inutes

    to think about these questions and to write down your

    answers:

    What did you learn from reading this chapter tha t stands

    out as particularly useful or interesting?

    Do you have any ques tions about the topics presented in

    this chapter? If so, what are they?

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    C H A P T E R

    A~Icasuring verall equ ipme nt effccti\~enesss an important way

    to monitor which losses are reducing the effecti\~eness f your

    macliines. By tracking O E E 077 a regular basis, y u car7 spot pat-

    o i n t

    terns a nd influences tha t cause problenrs for production equipment.

    Furthennore, niecrsuring O E E allows you to see the results of your

    efforts to help tltc rnaclrines nm better. Th is chapter offers guidance

    in measuring overall equ ipm ent effectiveness, including collecting

    and processing O E E d a b arid reporting O E E results.

    losing the Feedback

    Loop

    T h e process of measuring and applying O E E data should involve

    the people who use the machines.

    s

    operators, you are more

    familiar than otlier people with the equipment you operate, and

    you have a slake in help ing it run well. Therefore it's logical for

    you to take part in collectirig tlie data for calculating OEIS.

    just as irrzportant as being involved in clata collectiotl is receiving

    e y

    p o i n t

    feedback on O E E results. An O f X chart cannot promote improve-

    ment if it doesn't get back to the shop floor.

    OEE

    is living infor-

    mation for improving equipm ent effective~iess. t shoulcl not be

    buried away in an office.

    ollecting OEE Data

    efiningWhat to Measure

    Before you can begin appl)>ingOEE, you need to decide what

    m y p o i o

    nrachine and pr od ~ ~c tatu you will rneasure for the calcu fatio t~.

    V i e Basic itenis you will measure a re the losses that reduce avail-

    ability, perforninncc, an d quality. Tliese will vary from plant to

    piant, b ~ ~ the Six h4aior Losses described in Cliapter

    2

    give a

    good framework to start from.

    Downtime Losses

    Do~vntimeosses (lost ai,c~ilclbility) rre rrwcrsured in units of tirnc

    K e y P o o l

    (Figure -1). The y include

    failure and repair tirnc

    setup and adiustmenk timu

    other time losses tli;it reduce availabililp

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    M E S U R I N G

    O E E

    :ure

    3 1. ailure

    and

    Setup

    Losses re Measured as Time Losses

    Failure and repair t ime i n c l ~ ~ d c sll of h e downtime until the

    rn:tclhe makes the n st good product. Some plants 1i1mpall

    breakdotvns into on e category; oth er plants may create several

    categories to disti~tgu ish et\veen different hp cs or causes of

    rnachinc failures. T h e main t l h g is to standardize y o w approach

    so everyone can measure a failure event the same way.

    Setup and ad iustm cnt tifne includes the time between the last

    good piece of procluct

    A

    and the first good piece of procluct

    B

    Ot he r time losses inc lud e startup losses-similar to setup time

    losses-and any no ns cl ted ~~ le dime the team chooses to subtract

    from the available time.

    T K E

    F I V E

    Take five minutes t o think a bout th es e que stions and to write

    down your answers:

    What types of information about your machine s operation do you

    currently track?

    What types of downtime losses do you think your work area

    would track for

    OEE?

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    C H A P T E R

    THE DES IGN GUY

    SAID THIS WOULD RUN

    1 000

    PIECES PE R MINUTE.

    BUT WE CAN ONLY RUN 827

    M A T T E R W H A T

    Output Reductions

    peed

    osses

    Speed losses (lost perfonncince) are rneclsured in units of product

    e y p o i n

    outpu t (see Figure

    3-2).

    You probably already track your ou tp t~ t

    quantity. For

    OEE,

    you look at the difference behveen the actua l

    ou tput and the potential output if the riiacliine consistently ran

    at the designed speed, or at the standard o pt i~ nu nt peed for

    each procl~tct.

    Speed losses inc lud e m ino r stoppages as well as reclucecl operat-

    ing speccl. A lt li o~ ~g hinor stopp ges are events like mini-

    breakdowns, they often occur so frecluently that

    t

    is not practical

    to record the tin& lost during many frequent stoppages. For that

    reason, many companies monitor minor stoppages by tracking

    the outpu t reduction they cause.

    lb

    comficlre the ac tua l outbut rate (rnuchine s ~ ~ e e d )ill1 the ou tbut

    rate a t ;he designed spee d,'pu have to know & z t he designed&zx

    is.

    If tl~is peed docs not appear in tiic macltine's docurnentakion,

    you will nked to sel

    :I

    s tar i~ard,uch as the fastest known speed at

    wltich the machine can run (tliis may vary for different products).

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    M E S U R I N G O E E

    ercent

    Defect

    Rate

    Line

    Figure

    33 Scrap

    and Star tup Losses re Measured a s Defective Output Compared

    to Total Output

    Defect Losses

    Defect losses (lost quality) are ulso measured in units of product

    K e y

    v o n t

    output. This time, you are looking at the difference behveen the

    total a ct~ tal utput and the output that meets ccustomer specifica-

    tions ( sce Figure 3-3).

    Defect losses include products that can be reworked as well as

    outr ight scrap. i7irst-pass qualih is the goal.

    Making Data Collection Simple

    T h e purpose of tracking

    OEE

    is not to rliakc estra paperwork for

    operators. Most likely yo11 arc alreztdy collecti~igI lot

    of

    the data

    req~~ireclor the O E E c alcu lation. O ne ivell-clesigiled fonn un

    nlake it easy to log th O E E da ta a s i ~ ~ e l ls other dutct you need

    to register clurir~g aily production.

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    C H P T E R

    Figure

    3-4

    pages 31-32) shotvs a sam ple data collection form. Its

    creators used a simple approach for logging time losses by sliading

    l a m p i s

    the boxes on Side A to indicate where downtinie occurred .

    Performance a nd quality data go on Side B.

    T K E F I V E

    Take five m inutes to think about these qu estions and to write

    down your answers

    Which type of loss most affects your production equipment?

    How would you change your current data co llection forms t o

    include

    OEE

    data?

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    M E A S U R I N G O

    Lure 3 4 Sampie Data Collection Sheet Side A

    Source

    A m

    ach Blom

    Consultancy. User s Guide for OEE

    Toolh~t oftware IPmductivity,

    999

    3

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    C H A P T E R

    :we 3-4continued). Sample Data Collection Sheet Side 6

    SOUICB: Arna Koch.

    lom

    Consultuncy.

    User s

    uide

    lot

    OEE

    rootkit

    software Productivity,

    1999

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    M E A S U R I N G O E E

    Running time ctual output

    Good output

    Net operating time Target output ctual outp ut

    igure 55

    The

    OEE Calculation

    and

    Its

    Elements

    Processing

    OEE

    ata

    Afier you collect data for OE E , you need to process tlic data to

    turn it into useful information. Th is involves doing the c alcula -

    tion, and also storing your data in a way that allows you to clraw

    different types of idomtation from it.

    The OEE alculation

    O E E is calct~ latecl y multiplying availability, perforniance, and

    qud ity (~nultipliecl y

    100

    to give a percentage rate).

    OEE

    rote i\wifubil ity Perfarntanoe x Quulity x

    1

    Po nt

    Let s review the equations for tlte individual elcrnents of O E E .

    Kunnirrg tirile

    A~~ui luhi l ih

    Net ctperutirrg tirne

    The running time is the net operating tirne minus the downtime

    losses you rlccide to measure.

    Actual output

    Perforn~c~rtce

    Torget ozrtput

    For the O E E calculation, the target output is the quantity the

    machine woulcl produce if it operated at its designed speed

    during the running time (see Figure 3-5 .

    Qt~ ati ty Good output

    Actuul output

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    C H P T E R

    Storing O ata

    O E E is mos1 valuable when p o ~ ~ollect data and do the calcula-

    Lion o n a regular basis. Tracking O E E at set intervals over time

    allows you to see patterns that give ciues for in~ pro ve me nt.

    t

    is irnport t~to

    h ve

    system in pluce to store your O E E data.

    ri l P a ~ n t

    Ma nua l cha rting of the basic rates is a good place to start, bu t it

    limits the information you can pull out of the data. Sofhvare can

    be a helpftd tool for automating the calculation and storing the

    data for use in scvcral t ~ ~ p e sfgrap l~ssee Figure

    3-6).

    T K E F I V E

    Take five minutes to think ab out this question and t o write

    down your answer:

    What kind of data storage system would you want to use for your

    O measurements?

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    M E A S U R I N G O E E

    Source

    Sample data entered

    in

    OEE

    i olkit

    software application

    Am0

    Koch

    Blom

    Consullancy:

    PIoducthify

    19991

    Reporting

    OEE

    Results

    Sha ring O E E information is critical for reducing equipm ent-

    related losses. Operators-the peo ple wh o are closest to the

    ccp ipm ent-n eed to be aware of

    OEE

    results. liep orting OEE

    information on cl ia r t ~n the \vorkplace is a key to improving

    futu re results.

    T h e graph in Figure

    3 6

    s h o w

    a

    typical machine s O E E char t for

    one sliift. By tracking this data over time, vou can see tlie OEE

    trends for th e m ac hine , as show n in F igur;

    3 7.

    The few pieces of da ta you collect to track OEE con give a lot of

    other

    inform tion

    ab ou t the inuchine, unswering sttch questions a s

    Arc we improving over

    How arc we utilizing tlie

    time? equipment?

    What are the biggest down-

    What

    is

    our mean time

    time problem s? behveen failures, failure

    When did an incident

    rate arid frequency, and

    occur? mean time

    to

    repair?

    1-low was quality over the

    last month?

    Figures

    3-8

    and

    3-9

    show samp le reports from O E E data.

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    C H A P T E R

    Source: Sample data entered in

    OEE Toolhi

    software appilcation

    ( A m

    Koch. Blom Consultancy;

    Pioducfivity 1999 .

    Figure

    3 9. tilization Chart

    SOUICBample data entered in

    OEE Toomil

    software application

    A m

    Kocll. Blom Coosultancy;

    Pmd~ctivity.1999 .

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    M E A S U R I N G O

    Tracking O E E helps you spot patterns and influences of equip-

    ment problenis 2nd allows you to see thc results of your

    iniprovcment efforts.

    Tlic process of measuring and applying OEE data should

    involve tlie people who use tlie

    machines. Operators

    should

    also receive feedback on OEE results.

    Before you bcgin applying O E E , you n eed to decide what lo

    measure

    for tlie calculation. T h e basic i t e m you will measure

    are the losses that reduce availability, perform ance, and qual-

    ity. Tbcse will vary from plant to plant, but tlie Six Major

    Losses provide

    a

    good starting Franietvork.

    Do wn tim e losses lost availability) are measured in units of

    time. They includc

    hilurc and repair time

    setup and adjustment time

    other time losses that reduce availability

    Speed losses lost performance) are measured in units of prod-

    uct output.

    You

    will look at the difference behvcen the achial

    output and the potential output if tlie machine consistently

    mn at the designed spced or the st;~nclardoptimu m speed for

    each product.

    Defect losses lost quality) arc also nieatu red in units of prod-

    uct o utput. H ere you itre looking at Llic difference betwecn h e

    total actual outp ut and thc ou tput that meets cusiomcr spcci-

    ficat~ons.

    The purpose of tracking OEE is not to 1ii;lke extra

    A

    \vcll-designed form can make it easy to log the OEE data as

    wcll as other da ta you rieed to register durin g daily production.

    A f t e r you collect data for O E E , you need to process the data

    to turn it into useful information. This involves cloing the cal-

    culatio n, and also storing your data in a way that allows you to

    draw diffcrcnt types of information from it.

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    O E E F O R O P E R A T O R S

    O E E is calcu lated by n~u ltiply ing vailability, performance,

    and quality tnuitiplied by

    100

    to gct a percentage rate).

    OEE

    rate rivuilability

    x

    Perfonnunce

    x

    Ql~ul i l y

    x 1

    Running tirile

    ri~~uilubil i ty

    Net operrrtitig tirne

    Actual output

    Perforn~ance

    Target oufptrl

    Good unlptrt

    Q ~ r a l i h

    Actual oritplrt

    Tracking

    OEE

    at set intervals over time allows you to scc pat-

    terns that give clues

    for

    improvement.

    t is important to have

    a

    system in place to store your OEE

    data. Software can be helpful for autorriating the calculation

    and storing the data for use in reports.

    Reporting the results on charts in the workplace is a key to

    improving fu t~ ir c esults. T h e few pieces of data you collect

    to track O E E can give a lot of other information a bou t the

    machine.

    R E F L E T I O N S

    Now that you have completed this chapter, take five minutes

    to think about these questions and to write down your

    answers:

    What did you learn from reading th is chapter tha t s tands

    out as particularly useful or interesting?

    Do you have any questions about the topics presented in

    this chapter? If so, what are they?

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    I

    C H A P T E R

    igure

    41

    OEE

    Tells

    the

    Current

    State of the Equipment

    W

    measure O E E to ~i lonitorhe condition of the cquipment-

    similar to what a nurse learns about your condition w hen he or

    sh e takes a tempera ture or listens io a heartbeat (see Figt~re -1 .

    .

    By comparing yesterday s or last \vee rs result, we can see whether

    tlie condition has improved or becom e worse. s an operator, you

    play an important role in

    TPM

    because you are in the best posi-

    tion to monitor mac hine conditions during operation.

    e y P o i n t

    ? fie i~ oi nt f usirlg the O E E meusure is to drive irnprovenient.

    W hen you first begin tracking O E E , the rate mag be very low.

    This is no1 totally bad, because t means there is a big opp ortu nih

    to improve. It is much easier to improve a low OEE rate than a

    high one, since people tend to

    eliminate

    the obvious wastes and

    problems at tlie beginning.

    Standardization is the first step in improvement. 0 E E is a tool for

    standardizing the

    way

    you measure

    effectiveness.

    Th is standard-

    ized approach provides a baseline that helps you see where to

    focus improverneiit efforts.

    So me im provem ent mag hap pen just from the awareness that

    develops when you start mcasuring

    OEE.

    Sustuined improve-

    tnent, however, requires a dediccited approach, with rrlunugerrtent

    support. Thi s cliapter explores several approaches that can hel p

    improve OE E.

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    i M P R O V l N G O E E

    nswer

    2. Why did oil leak?- p T h e O-ring was cut.

    igure

    4 2 5

    Why

    Analysis

    Why

    nalysis

    I-Iave you ever liad the esperience in \vl1ich someone fixed a machine

    problem, but the same problem happened again after a sliort time? In

    such cases. it often h ~rns ut that people have been heating the syin p

    s

    toms of the problem, but not dealing \\it11 its real, root cause.

    ti

    we address the root cause, the same problem will keep returning.

    5 Why analysis is

    a

    useful tool that brings us closer to tlie root

    cause. s its nam e suggests, 5

    hy

    analysis involves repeatedly ask-

    ing ~vhy? bout the problein (it could he m ore or less than five

    times, depending on the situ;ition). Th is leads us to look beyond

    the inirnediate effect-sucti as a broken drive belt- to see the

    factors that might be causing tlie effect-st~cli as flaws on tlie

    pulley that make the belt wear out too soon.

    Figure

    4-2

    shows an esarnple of using Why analysis.

    T K E F I V E

    Take five minutes to think about th es e questions and t o write

    down your answers:

    Is

    there a typical situation in your workplace where people

    fix

    the symptoms ? What do you think

    is

    the root cause, and what

    would you do about it?

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    C H P T E R

    4

    utonomous Maintenance

    Autor~ornous nairtiertunce refers to activities curried ou t by

    ,~ . ~. ....

    e y T e r m

    s/iopfkor terns in cooperation with muintenatlce staff to help stu-

    b i k e basic equipment conditions an d s l~ ot roblents early.

    Autonomous ma intenance is on e of the pillars of

    TI M

    It

    changes the old view that operators just run mach ines and main-

    tenance people just ix them . O perators liave valuable knowledge

    and skill that can help keep equipment from breaking down.

    In autonomous maintenance, operators learn how to clean the

    equipment they use every clay, and how to inspect for trouble

    signs as they clean (see Figure 4-3). The y may also learn basic

    lubrication routines, or at least how to check for adequate lubrica-

    tion. ? hey learn simple niethods to reduce contamination and

    keep the ecjuipmcnt cleaner. Ultimately, they learn more ab out

    the various operating systems of the equ ipnlent and may assist

    technicians with repairs.

    Auiotlo~nousmaintenance activities arc like exercise and regular

    K Y

    P ~ I ~

    I~eu lth heckups for machines. Along with preventivc mainte-

    nance, they help raise O E E by lilaititaining proper operating con-

    ditions, and stabilize it by detecting abnormalities before they

    turn into losses.

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    I M P R O V I N G O E E

    Step1 Conduct initial cleaning and inspection.

    Step 2 Eliminate sources o f contamination and inaccessible

    areas.

    Step 3

    Develop and test provisional cleaning, inspection,

    and lubrication standards.

    Step 4

    Conduct general inspection training and develop

    inspection procedures.

    Step

    5 Conduct general inspec tions autonomously.

    Step 6

    Apply standardization and visual management

    throughout the workplace.

    Step

    7

    Conduct ongoing autonomous maintenance and

    advanced improvement activities.

    Figure

    4 4. utonomous

    Maintenance

    ctivities

    Autonomous m aintenance

    is

    at its heart. a team-based ac ti vi k.

    Th rough the steps ofautonornous main tenance, shopfloor emp loy-

    ?

    ees work w it h m aintena nce technicians a nd engineers ton clrd a

    cotnnzort goal-more effective equipm ent (see F ig ure

    4-4 .

    3y shar-

    in

    what they know, they can catch man y o f the problems that

    cause failures, defects, or accidents.

    T K E

    F I V E

    Take five minutes t o think about these questions and to write

    down your answers:

    Who performs basic cleaning and maintenance on the equipment

    in your work area?

    Do you think autonomous maintenance activities would reduce

    equipment problems in your company? Why or why not?

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    e y ern

    K e y P o i n t

    C H A P T E R

    Figure4 5

    a).

    Stabilizing with Autonomous Maintenance

    Focused quipment and Process

    Improvement

    Focused equipment clnd process ilnproventent is the ? l h/I pillur

    tliat deals most directly with irr~proving quipment-related losses. f

    autonomous maintenance and preventive maintenance activities

    are like esereise and health checkups, focused improvcnient is

    like an intcnse workout tailored to develop strength in specific

    m ~ ~ s c l eroups. Au tono mo ~~saintenance a ~ i d lanned maintc-

    nanc e inlprove O E E Lo a certain level, then help niaintain basic

    operating conditions to stabilize O E E . To raise O E E beyond this

    stabilized level, companies apply focirsed improvemen t (see tlie

    left and right sides of Figure

    4-5 .

    In corttrcrst to the onrroine activities of autonomous maintenance

    a n d planned maintenance, foc~lsed mproventent involses targeted

    ~rojec tso reduce specific losses. The se projects a re usuallv carried

    out by cross-functional teams that include people with various

    skills or resources an

    improvement

    plan might require.

    Depend ing on the target, a focused i~ np rov em en team may

    include ma intena nce technicians, engineers, equ ipment clesign-

    ers, operators, s up cn ko rs, a nd managers.

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    I M P R O V I N G

    O E E

    It's u good icleu for companies to at tuin a basic fit~~essevel with

    K e y

    P o n

    U U ~ O ~ I ~ I U O U Sn u i n t e ~ ~ u n c eind pkunned tnain tenance before

    launching focused intprovenlertt projects to address specific weak-

    nesses. One reason is to eliminate routine problems (sporadic

    losses) so yo11 liave a clear view of clifficult or more significant

    pro ble ~i is chro nic losses). Another reason

    is

    to avoid w in g a

    more expensive and time-consuming f o c ~ ~ s e dmprovement

    approach for problems that could be addressed tlirough less

    expensive autononious ma intenance or planned maintenance.

    Focused improvement teams use a range of approaches to cut

    eq uip men t-r ela te losses. The y may use Why analysis as a start-

    ing point, bu t there are also approaclies that addrcss specific

    types of losses, such as setup losses and scrap. We will review

    approaches that deal directly with shortening cliartgeover time

    arid reducing losses froni product defects. Finally,

    we

    will look

    at P-bl analysis, an advanced version of root cause analysis that

    is used in focused improvement and quality maintenance.

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    I

    C H A P T E R

    Before SM O

    Internaland

    Convert internal

    Streamline

    external

    setup internal

    and

    all

    aspects of

    setup

    Figure 45

    he

    hree Stages of SMED

    uick

    hangeover

    Setu p and adju stm ent time is an iniproveiiient target for OEE,

    since it reduce s tlic time in which the m ac hi ne is available to

    make products. Sliigeo Sliingo, who helped develop key aspects

    O the Toyota Production System, invented a changeover irnprove-

    m en t system called single-minute cscliange of die, or

    SMED.

    Th is system gives a t hre est ag e approacli for shorten ing setup

    (see Figure 4-6).

    Stage :Separate Internal and External Setup

    In developing S h E D , Sliingo analyzed changeover operations to

    detertiline why they took so long . He recognized that change over

    activities co~tlcl e divided inlo two types:

    ftltcmrtl setup: setup operations that can be done only with the

    cqt~ipn ient topped

    Externul setup: setup operations that can be done while the

    iiiacliine is working.

    The problem a t most contpanies is that internal

    ~nd

    xternal setup

    operations ure rnisecl together. T h is m ean s that things tha t could

    be d on e while the m achin e is running are not don e until the

    machine is stopped.

    Nirned lor ih goal of cnri~pletir~gl~ai~getrver itli i~ ~I single-digit ilwilber

    o

    niio-

    utcs-9 iiii~~tilcrr lciver.

    6

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    I M P R O V I N G

    O

    Sta ge of Shingo s SMED s y s t e m i r l ~ ~ o i ~ e sorting ou t the external

    setup oparations so they ca n be done before the ii tacl ~ines stopped.

    This a lone can reduce se tu f~ime bv

    30

    to

    50

    /~erceitt . ypical

    stage 1 activities in clu de

    liansporting tools and parts to the macliine in advance

    Confirming that escl~a~lgeablearts are functional before the

    cl~angeover egins

    Stage : Convert Internal Setup to External Setup

    T h e nex t s t ep in the SkIED system is to look ag ain a t activities

    clone with th e mn ch ine stopped ancl find ways to do t he m while

    t h e n i a c h i ~ t cs still active. Typical stage

    2

    improve ments incl i lde

    Preparing operating contliiions in adranee, sttch as heating

    a

    die

    mold with a preheater instead of using trial shots of hot material

    Standardizing functions sue11 as die height to elinhate tile need

    for adjustments

    Using devices tlmt autonmticallp position the parts witliout

    I I ~ G I -

    suremcn t

    Stage 3: Streamline ll Aspects of Setup

    Th is s tage at tacks rem ainin g setup t ime, an d includcs these

    approac hes to shorteii internal setup:

    Using parallcl operations (two or more people working together)

    Using quick-release cl;t~nps nstcad of nuts and bolls

    Using

    numerical

    settings to

    eliminate

    trial-and-error adjustm ents

    T K E F IVE

    Take fiv minutes to th ink about th es e qu es t ions and t o write

    down your answers :

    How long does a typical changeover take in your work area?

    Can you list the changeover st ep s that couid be performed while

    the machine s still running?

    Who would you want t o have on a se tu p improvement team,

    and why?

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    B I

    e r m

    ~ yo i n t

    I

    C H A P T E R

    4

    Source inspection

    1 percent inspection

    Prompt feedback and action

    Poka-yoke systems

    igure 4-7. The ZQC System

    ZQ Mistake-Proofing)

    T h e quality rate is a n eleme nt of OEE. W hen the equipm ent that

    sliould add value to a product makes

    a

    defect instead, it wastes

    valuable materials an d energy-and it can Iittrt tlie company's

    reputation i tile defective it em reaches a customer. Therefore,

    quality is an important cle me nt of a machine's effectiveness.

    Many companies think that they are addressing qualiky issues

    through inspection that catches defects before they leave the fac-

    tory. However, inspection after {~rocessingloes not elimincrte

    defects, a r ~ doesn't necessc~rify atch tflern al l, either. Quali ty can-

    not be inspected in. It t i i ~ s t e Built into the process.

    Shigeo Shing o carefully analyzed the causes of defects in manu-

    fa ch ~r in g lants an d found that random errors were often the

    most difficult causes to control. To prevent h e s e errors, he devel-

    oped a mistake-proofing system known as Zero Quality Control

    (Z Q C , or quality control for zero defects ).

    Z Q C prevents defects by ccltching errors cmd other nonstanclctrd

    conditions before they actuc~lly

    t m

    info defects. It ensures zero

    defects by inspecting for proper processing conditions, for

    100

    percent of the work, ideally jt~ st efore an operation is performed.

    If an error is discovered, the process shuts down and gives itmne-

    diate feedback with lights, warning sounds, and so on. TIie basic

    elements of a Z Q C system are summarizecl in Figure 4 5.

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    I M P R O V I N

    O E E

    correct incorrect

    press

    limit switch poka-yoke)

    detects correct

    I

    Figure 4 8. Poka-Yoke Example

    Poka Yoke Systems

    Because people can rnake mistakes even in inspection, nristake-

    proofing relies on sensing nzechanisms culled poka-yoke system ,

    which check conditions autonzatically and signul when problems

    occur. I oka-yoke devices include electronic sensors such as limi t

    switches and ~~hotoclectricyes, as well as passive devices sucli as

    positioning pins that preven t l~ackward nsertion of a workpiece.

    Figure 4-8 sho\tss an esantple of a limit switch used as a poka-yoke

    system to prevent processing wlien the work is placed incorrectly.

    Poka-Yoke ystems may use counters to make sure an operation is

    repeated the correct number of times

    The key to effective mistake-proofing is

    determining

    when cntd

    ~ I t c r e efect-causing conditions arise an d then figuring out how to

    detect or prevent these conditions, every time. Sliopfloor people

    have im portant knolt4edgc and ideas to share for developing and

    imp lementing poka-yoke systerns that cheek every item and give

    iniiiiecliate feedback on problerns.

    T A K E F I V E

    Take five minu tes t o think abou t

    th s

    questions and t o write

    down your answers:

    What types of actions or conditions can cause defects in your

    process? At what point could you detect such an action or

    condition?

    Who would you want on a mistake-proofing team for your

    process, and

    why?

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    C H A P T E R 4

    igure 4 9 Chronic Problems Require an Advanced Approach

    P M nalysis

    You may have experienced situations when you have to makc

    4 ure

    epeated repnirs ind adjustments on a recurring problem

    4-9).

    When a problem conies back,

    i t

    is usually because the sitrta-

    tiori is not as simple as we originally thought it was. O u r Why

    analysis may have followecl one factor to a clecpcr cause, but real

    life is coniplex and interrelated-several factors often work

    iogether to create a particular problem.

    P Ad

    analysis is u tool for

    systen~crtically ncoiwing un d testing al l the possible factors that

    could contribute to a cl~ronic roblem such as defects or failure.

    T h e P n P-it1 analysis staiicls for phenomenon -the abnornial

    event we want io conlrol. It also stands for pliysical -the perspec-

    tive we take in viewing the pli enom enon .

    bI

    refers to mecha-

    nism and to tlie 4Ms -a franiework of ca i~ sa lactors to examine

    (Macli ine, MenAb'ornen [operator actions], Material, and IvIethod).

    P-kl analysis is often spelled with a hyphen to clistinguisli it front

    abbre\iatioils for preventive or plannecl maintenance.

    The esscncc of P-&I Analysis is to look systetnutically a t n f e ydetail

    s y

    P a i n t

    SO

    110

    physical phen~tnetzu , nderlying condition, or causal @or is

    missed. Although product clefecis and equipment failures are tlie

    losses most often addressed, P-b1 analysis can b e applied to any

    loss that i~ivolves n equ ipment abnormality.

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    I M P R O V I N G O E E

    P-kS analysis involves physically analyzing chronic losses accord-

    ing to the p rinciples an d natural laws that govern Lliem. T h e basic

    stepsof P-h/I analysis are

    1.

    Physiccilly analyzing chronic probierr~s ccording to the ir~acltinc~sper-

    ..

    citing principles. This means understanding-in precise physical

    n o w t o s t e o r

    term-w hat happens \&en a n~ ac hinenalfunctions. 'To do this, the

    team riwst first understand the physical standard for normal operation.

    2

    Defining the essential or constituent corlclitions underiyiilg the a bnoni~ al

    pltmomenc~. his means understanding at the physical level d i a l con-

    ditions exist when the macliine doesn't work right. Examples inc lude

    the position of the work or the temperature ofa cult~ngool.

    3

    Iderttifiirlg ali factors thtrt contribute to the phenort~cntr n terms of the

    fM

    fictrnovork. 'This means examining the problem from several

    viewpoints to uncover factors the tcam might otlicnvise overlook.

    After going th rou gh these steps, the team surveys for the p resence

    of the factors, then tests inqxo venterit actions. I~i gu re s -10 and

    4-1 on the follo~v ing ages are

    P-bI

    analysis tables. Figure

    3-10

    shotvs how inf or~ nat ion s developed a t each step. Figure 4-1

    d ~ o wio1v the tea m checks for factors an d tests its imp rovements .

    P-144

    unulysis is considered a n advanced tool becouse this level of

    n y v o l n t

    detective work requires rnore time, resources, a n d expertise th an

    5

    Why

    analysis. For these reasons, focused improvement teams

    may save P-M analysis for co mp lex or costly proble ms.

    T K E F I V E

    Take five minutes to think about these questions and to write

    down your answers:

    Think

    o

    a familiar situation where a machine problem recurs.

    What do people usually do about it? Can it be resolved with

    5

    Why analysis

    or

    does

    it

    need more analysis?

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    C H A P T E R

    ure 4 10. P M Analysis Tablo

    5

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    I M P R O V I N G O EE

    :ure 4 11. P M Analysis Survey Results

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    O F O R O P E R A T O R S

    \jVc

    measure O E E to monitor tlie condition of tlic equipm ent.

    T h e point of using the O E E m easure is to drive improvement.

    St ~s tai ne d mprovement requires a dedicated approach , with

    management support.

    \Vlien a problem returns, it often turns oirt that we have been

    treating the symptoms of the problem , but not dealing with its

    root cause. \Vhy analysis is a useful tool tliat brings its closer

    to the root cause.

    *Autonomous maintenance refers to activities carried out by

    shopfloor teams to help stabilize basic equipment conditions

    and spot problems early.

    I t

    cliangcs th e old view tliat operators

    just run macliincs and maintenance people just

    ix

    them.

    Along with preventive mairi tcnarice, a~~tonomousainte-

    nance activities lielp raise O E E by m ainta ining proper opcr-

    ating conditions, and stabilize it by detecting ,tbnormalities

    before they turn into losses.

    Tlirougli tlie steps of autonomous

    maintenance

    shopfloor

    employees work with inaintcnancc technicians arid engineers

    -

    toward a com mo n goal-more effective eq i~i pm en t.

    f~ocusecl quipment and process improvement

    is

    the TPR4 pil-

    lar that deals mo d directly with improving equiprncnt-related

    losses.

    Autonomous n ia in tenance and p reven tive ma in tenance

    improve OE E to a certain level, then help maintain basic opcr-

    ating conditions to stabilize the O E E . To raise O E E beyond

    this stabilized Ievcl, companies apply focused irn pro\w nen t.

    Focriscd improvement involves targeted projects to reduce

    specific losses, carried out by cross-f~tnction;tl eams tliat

    include people with skills or resources an improvement plan

    might require.

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    I M P R O V I N G

    O E E

    It's good for companies to attain a basic fitness level with

    a u tono~ i iousmaintenance and prevent ive maintenance

    before launching focused improvement projects to address

    specific weaknesses.

    Fo ci ~s ed mprov eme nt teams use a range of approaches,

    inc lud ing approaches tha t address spec i f ic eq~~ipment -

    related losses.

    Setup and adjustment time is an improvement target for

    OEE,

    since it reduces the time in which the machine is

    available to make products.

    Shigeo Sh ingo invented

    a

    changeover improvemen t system

    called single-minute escliange of die, or SMEU. 'This sys-

    Len1 gives a three-stage approach for sllortening setup: