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1 m MEASURE DATA COLLECTION PLAN KPI OPERATIONAL DEFINITIONS DEFECT DEFINITION PERFORMANCE STANDARD SPECIFICATION LIMIT OPPORTUNITY LSL USL MOCHIKO SHOES PVT LTD Repair issue per day /total no of upper pair produced per day (as expressed in %) Any day when repairing issue % per day is more 2% would be considered a defective day Repair issue % should not be more than 2% N/A 2% 1 WHAT? HOW? KPI Data Type Data Items Needed Formula to be used Unit Plan to collect Data Plan to sample What Database or Container will be used to record this data? Is this an existing database or new? If new, When will the database be ready for use? When is the planned start date for data collection? MOCHIKO SHOES PVT LTD Discrete Total upper (pair) produced and total upper (pair) sent for repair Total upper (pair) sent for repair/Total upper (pair) produced Repair issue % Weekly dashboards Existing N/A August 15 th , 2012 Monitor the daily repair issue %.

Lean Six Sigma Project on Defects measure

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Page 1: Lean Six Sigma Project on Defects measure

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m

MEASUREDATA COLLECTION PLAN

KPI OPERATIONAL DEFINITIONS DEFECT DEFINITION PERFORMANCE STANDARDSPECIFICATION LIMIT

OPPORTUNITYLSL USL

MOCHIKO SHOES PVT LTD

Repair issue per day /total no of upper pair produced

per day (as expressed in %)

Any day when repairing issue % per day is more 2% would be considered

a defective day

Repair issue % should not be more than 2% N/A 2% 1

WHAT?

HOW?

KPI Data TypeData Items

NeededFormula to be

usedUnit

Plan to collect DataPlan to sample

What Database or

Container will be used to record this

data?

Is this an existing

database or new?

If new, When will the

database be ready for

use?

When is the planned

start date for data

collection?

MOCHIKO SHOES PVT

LTDDiscrete

Total upper (pair)

produced and total upper

(pair) sent for repair

Total upper (pair) sent for repair/Total upper (pair)

produced

Repair issue%

Weekly dashboards

Existing N/AAugust 15th,

2012

Monitor the daily repair

issue %.

Page 2: Lean Six Sigma Project on Defects measure

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m

MEASUREEffectiveness & Efficiency

For the purpose of data validation, 150 data points have been verified for the total issues over a time of one month.

Procedure Used:• 150 random samples picked up from 31227 data points. We asked two Quality auditors to re-verify the 150 data points.

• On verification, we found that 2 data points were differently captured in the 150 samples which were re-verified.

Effectiveness % = Number of samples where both measurement were similar * 100Total Number of samples under consideration

= 148 * 100 = 98.666150

Effectiveness at 98.666% with 150 samples is good enough, and we conclude that the

measurement System is adequate.