Accelerating the process of engineering change orders: capacity and congestion effects |
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Page 1
... development costs and lead time . Given this importance of ECOs , most large organizations use a formal support ... projects . It has been identified as one of the root causes of high ECO costs [ 5 ] , which in many projects can account ...
... development costs and lead time . Given this importance of ECOs , most large organizations use a formal support ... projects . It has been identified as one of the root causes of high ECO costs [ 5 ] , which in many projects can account ...
Page 2
... projects under way at any point in time ( that is , limit the backlog ) , avoiding expedited projects ( projects ... development in a vehicle . In this case study , we find that the time it took the organization to move an ECO from its ...
... projects under way at any point in time ( that is , limit the backlog ) , avoiding expedited projects ( projects ... development in a vehicle . In this case study , we find that the time it took the organization to move an ECO from its ...
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... development projects [ 1,2,4,5 ] , we show in this article how congestion and batching influence engineering processes at a more detailed level . Our analysis provides a theoretical explanation for the data that we collected in [ 22 ] ...
... development projects [ 1,2,4,5 ] , we show in this article how congestion and batching influence engineering processes at a more detailed level . Our analysis provides a theoretical explanation for the data that we collected in [ 22 ] ...
Common terms and phrases
0.5 tasks/hour 40 hours activities approve ECOS average throughput average TPT backlog balanced workloads batch processing batch size constant C. H. Loch capacity utilization CCS engineering coefficient of variation Congestion and Batching CONGESTION EFFECTS Cost analysis CV² decides on ECOS development projects discrete-event simulation ECO arrivals ECO Manager ECO process ECO support process ECOS once engineering capacity Engineering Change Orders engineers devote estimate example exponentially distributed Figure Fontainebleau formula framework Goldratt Harvard Business School he/she high utilization his/her host organization implementation increases individual ECO INSEAD interarrival iteration Kekre long lead loop manufacturing mental set-ups Merging Tasks models non-value-added observed once a week Opportunities for Improvement pooling problem process analysis Process of Engineering Product Development project manager prototypes purchasing queueing reduced set-ups Reducing Batching resource self-fulfilling prophecy server simulation engineer simulation group slack standard deviation technologies Terwiesch trade-off UC San Diego utilization profiles