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Uses of Performance Analysis in High Speed Assembly
Arne Thesen Department of Industrial Engineering University of Wisconsin-Madison 4/14/2019 Arne Thesen
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A Headlamp assembly system
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Steps in designing a high-speed assembly system
Task Analysis Identify all steps and decide how they are to be performed Group related steps Design jobs, and estimate their duration Line balancing Identify longest job Reduce duration of this job Repeat Design hardware Job-specific Material handling Integration Performance analysis of complete system 4/14/2019 Arne Thesen
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Assembly of headlights for a Ford Aero
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Assembly of headlights for a Ford Aero
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Elements of a typical high-speed assembly system
65 meters of conveyors 25 stations, some with multiple machines Eight second cycle times for single machine stations Inspect/Repair loop About 50 circulating pallets Asynchronous flow Very limited room for pallets in front of stations Difficult to access inside of loop Initial cost: US$3.000,000 Cell did not perform as expected when first installed 4/14/2019 Arne Thesen
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Typical complaints Cell does not produce at the expected rate.
Ford Aero headlights, Parker Pens Not meeting production targets even though I have sufficient capacity HP inkjet line Our WIP is excessive. Ohmeda Unplanned overtime almost every day. Marquip shipping dept. Although all elements have sufficient capacity, the system does not produce at the expected rate. 4/14/2019 Arne Thesen
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Common excuses Cell manufacturer cell lied! Workers are lazy!
Production scheduler is incompetent! Customer is too picky! Sales people promised too early a shipping date! It is not my fault that the machines always jams. More likely explanation: The system is not properly integrated! 4/14/2019 Arne Thesen
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How to improve performance
Reallocate pallets Balance workloads at stations Use multiple machines at some station Reallocate buffer spaces Revise the handling of rework System vendors often do not have the time or tools to evaluate effect of these choices. 4/14/2019 Arne Thesen
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Steps in the performance analysis
Identify bottleneck Spreadsheet analysis Queuing models Simulation Eliminate bottleneck Reduce workload Increase capacity Repeat 4/14/2019 Arne Thesen
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Three case studies Assembly of Automobile headlight assemblies
Problem: System did not produce at contracted rate Solution: Redesign two of 24 stations. Change number of pallets Assembly of anesthetic vaporizers Problem: WIP was excessive Solution: Increase quality to reduce rework Building of Ink-jet cartridges Problem: Production rate too low, stations idle Solution: Increase the number of circulation pallets Increase space for pallets at some stations 4/14/2019 Arne Thesen
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A Headlamp assembly system Production target not met
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Headlamp assembly Initial system did not meet specifications
Not clear how many pallets to use Blocking due to limited buffer sizes Difficult to spot bottlenecks Design of parallel stations difficult Findings Reduce the number of pallets Synchronization or parallel stations increased cycle times Repair loop caused deadlock Inefficient routing of pallets to Aimer stations 4/14/2019 Arne Thesen
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Using different number of pallets
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Deadlock Loops cannot be full
This works This does not work 4/14/2019 Arne Thesen
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Assembly of Vaporizers 1:
Very high WIP Excessive Rework Production target not met 1. Based on a study by C. Coleman,R. D’Onghia and J. Schluter 4/14/2019 Arne Thesen
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Assembly of Vaporizers Mexican v.s American Production rate
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Assembly of Vaporizers An unexpected result
WIP will always increase. Must slow arrival of work orders 4/14/2019 Arne Thesen
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Assembly of Vaporizers Relationship between workload and repair rates
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Assembly of Vaporizers Results: Rework Reduction
Output Increase from Std. % Reduction 4/14/2019 Arne Thesen
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Assembly of Vaporizers Results: Cool vs. Standard
Cooling vs. Standard Output Model 4/14/2019 Arne Thesen
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Assembly of Vaporizers Recommendations
New work release policy Limit Work In Progress (WIP) Rework Reduction Improve quality of incoming part Selective assembly to improve tolerances Cooling Machine Reduces WIP in cooling area 4/14/2019 Arne Thesen
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Making HP Inkjet cartridges
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HP Inkjet cartridges Findings
Production rate very sensitive to the number of pallets used Repair-loop frequently causes deadlock Increase buffer spaces in repair area Discard bad cartridges when deadlock about to occur Line was poorly balanced Increase speed on 4 machines Add parallel station Need to re-allocate buffer spaces Moving four station increased space in front of key station 4/14/2019 Arne Thesen
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HP Inkjet cartridges Production rates when allocating 9 spaces to 3 stations
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Lessons learned from the cases
Production rates may be increased by Changing the number of kanbans or pallets Improving quality of incoming parts Doing repairs off-line to avoid deadlock Adding machines to the bottleneck stations Not synchronizing parallel machines Speeding up critical stations 4/14/2019 Arne Thesen
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Lessons Learned Rework Allocation of pallets
May significantly increase workload on bottleneck station Allocation of pallets Wrong number of pallets leads to starvation or blocking Way to many pallets causes deadlock Allocation of buffer spaces Insufficient number of buffer spaces leads to blocking Workload balancing Difficult with random processing times Multiple machines at a station Difficult to implement Synchronization may increase cycle time 4/14/2019 Arne Thesen
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Conclusion Performance depends on how well system is integrated
Simulation can estimate performance of specific designs No simple way to optimize performance A strategy of bottleneck identification and elimination usually works well 4/14/2019 Arne Thesen
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