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SPRING SUPPLY CHAIN CO-OP SUB-ZERO WOLF Robert Granger University of Wisconsin, Madison

Supply Chain Co-op

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Page 1: Supply Chain Co-op

SPRING SUPPLY CHAIN CO-OP SUB-ZERO WOLF

Robert Granger

University of Wisconsin, Madison

Page 2: Supply Chain Co-op

AGENDA

Returnable Packaging Project Counts and labeling

Improved forecasting

RFID

Documentation and sustainability

Supplier Scorecard

Department Dashboard

CMII Gantt Chart

CRP level loading

Phoenix Drawer Tub Analysis

OEE Report Breakdown

Brake Press Root Cause Analysis

Safety Stock Update Tracking

Fab Schedule Adherence Tracker

Page 3: Supply Chain Co-op

RETURNABLE PACKAGING Developments since January 2016

Page 4: Supply Chain Co-op

COUNTS, TL9 CREATION, AND LABELS

Created 25 new TL9 systems

TL9: Same dimensions, dunnage, vendor

Worked with vendors to performed bin counts

Nearly 100% of all bins now counted and documented

73 TL9 Systems

10,000 bins

Over $5 million in value

90% of all TL9 bins now properly labeled

Page 5: Supply Chain Co-op

BIN NEED CALCULATOR

Redesigned Bin Need Calculator

All packaging data populated into XA’s planning tab

3-5 second updates (previously, 3-5 minutes)

Pop-up

Short-term bin need

Automatic error detection

Safety stock calculator

An example pop-up form in the Bin Need Calculator

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RFID IMPLEMENTATION

Scanners at dock doors

1200 bins tagged

Populated SQL database

Developed in/out logic and associated software

Reports (aging, turns, shortage)

RFID Portable ScannerVBA/SQL to Handle Processing

Basics of RFID

Dock Door Scanners

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SUPPLIER SCORECARD Making informed, unbiased

comparisons of our suppliers

Page 11: Supply Chain Co-op

SUPPLIER’S ARE RANKED ON:

Quality Material Acceptance (PPM report)

Responsiveness/Ease of business (Planner/Buyer Ranking)

Cost and Service Price Competitiveness and Value Added (Buyer Ranking)

On-Time Delivery (Late PO report)

Lead Time & Cycle Time (Lead time query table)

Order Confirmation (Vendor Confirm Report)

Accuracy and Timeliness of Paperwork (Discrepancies Query)

Capability Production Capability (Buyer Ranking)

Infrastructure (Buyer Ranking) A buyer’s view of his/her suppliers’ rankings

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DEPARTMENT DASHBOARDEncouraging inter-warehouse

competition with accurate weekly

reports and analysis

Page 14: Supply Chain Co-op

VISIBILITY AND COMPETITION

Warehouse dashboard

Percent Manufacturing Orders On Time

Total Fabrication Backlog Tracking

Percent Overall Equipment Effectiveness

Inventory Turns

Vendor Dashboard

Planning Availability

Phase Outs

Percent of Vendor Confirmation

Percent On Time Purchase Orders

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CMII GANTT CHART Microsoft Project for half the price

Page 18: Supply Chain Co-op

CREATING PREDECESSOR TASK FUNCTIONALITY

A buyer’s view of his/her suppliers’ rankings

Page 19: Supply Chain Co-op

CRP LEVEL LOADINGBalancing production levels

across FFT1 (Laser), FFT2 (Turret

Cluster), and FFT4 (Fiber Laser)

to reduce backlog

Page 20: Supply Chain Co-op

BACKLOG AND UNEVEN LOADING

Significant amount of backlog on FFT1, FFT2, and FFT4. All perform similar functions.

Highly variable loading due to bi-weekly manufacturing orders

Page 21: Supply Chain Co-op

MOVE PARTS TO DIFFERENT MACHINES TO REDUCE THIS BACKLOG/UNEVEN LOADING

Move 12 parts to a different machine

Consolidate 11 part families made on multiple machines to just one machine

Page 22: Supply Chain Co-op

OEE REPORTBreaking down minutes

completed by Fab, Shift, and

Operator over time

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MINUTES COMPLETED BY SHIFT, OPERATOR

Page 24: Supply Chain Co-op

BENEFITS AND ROOM FOR EXPANSION

Benefits:

Competition within and between shifts

Improved accuracy compared to Operation’s Efficiency Calculator

Applying minutes to 3rd shift

Relative set up times

Faster awareness of rising/falling productivity

Reports sent out daily

Can be applied to any machines

Room for expansion:

Compensation adjustments

Visibility for operators

Page 25: Supply Chain Co-op

SLOW BRAKE PRESSES - ROOT CAUSE ANALYSIS

Why are some brake presses

performing less effectively than

others?

Page 26: Supply Chain Co-op

CONCLUSIONS

Large differences between operators on different shifts Inefficiency caused by operators Identified 4 machines where this is the case; notified

management

Small differences between operators on different shifts, low average minutes, and a high percentage of ‘slow’ parts Inefficiency caused by slow parts

Identified 2 machines where this is the case; notified management

Majority of the inefficiencies due to differences in operators

0

100

200

300

400

500

600

1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 1 2 3 1 3 1 2 3 1 2 3 1 2 3

FAB51 FAB52 FAB53 FAB54 FAB55 FAB56 FAB57 FAB58 FAB59 FAB60FAB61FAB62FAB63FAB64 FAB65 FAB67

Average Daily Minutes by Shift, Machine

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SAFETY STOCK UPDATE TRACKINGMaking it simple for managers to

validate safety stock updates

and planner adherence to days

of safety stock targets

Page 28: Supply Chain Co-op

ENSURING PLANNERS UPDATE SAFETY STOCK

Ensuring Recommended Safety Stock Days is followed Pulled both into monthly inventory report

Added a percent error field; automatically flags differences

Tracking Safety Stock updates

Created SS_LAST_UPDATED field in XA

Automatically updates when a part’s safety stock is changed

Page 29: Supply Chain Co-op

PHOENIX DRAWER TUB ANALYSISCan we consolidate similar

drawer tub designs to reduce the

cost of large orders?

Page 30: Supply Chain Co-op

CONSOLIDATING DRAWER TUB DESIGNS

Compared CAD drawings of 36 upper/lower ref/fre drawers

Sensitivity Analysis:

Potential to reduce cost by purchasing fewer tub variations

Most consolidations were approved by design engineering;

however, the tub supplier did not reduce the cost enough to justify

the changes

7024457 - 16.561x22.694x5.454

7024458 - 17.084x22.694x5.454

16.561”

17.084”

An example drawer tub consolidation

Page 31: Supply Chain Co-op

FAB SCHEDULE ADHERENCE TRACKERCreating and analyzing

adherence to the schedule over

time

Page 32: Supply Chain Co-op

MEASURING HOW WELL OPERATORS FOLLOW THE SCHEDULE OF MANUFACTURING ORDERS

A number of problems are created by deviation from Planning’s MO schedule

Shortages of parts we need

Excess of parts we don’t need

Slowed production

Created a report which:

Stores a machine’s schedule in order

Pulls in the date/time of MO’s actually run

Currently in the process of making these comparisons relative

Page 33: Supply Chain Co-op

THANK YOU FOR A GREAT CO-OP EXPERIENCE!