Aclips: a Capacity and Lead Time Integrated Procedure for Scheduling
Management Science
Simulation with Arena
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Design and Analysis of Experiments
Design and Analysis of Experiments
Lot-sizing within capacity-constrained manufacturing systems using time-phased planning
WSC '05 Proceedings of the 37th conference on Winter simulation
Optimal lot-sizing in a two-stage system with auto-correlated arrivals
WSC '05 Proceedings of the 37th conference on Winter simulation
Observations on material flow in supply chains
Proceedings of the 38th conference on Winter simulation
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There have been recent advances in using queuing relationships to determine lot sizes that minimize mean flowtimes when multiple product types are being produced at capacity-constrained resources. However, these relationships assume lot interarrival times are independent, which is not the case in most manufacturing scenarios. This study examines the performance lot-sizing optimization relationships based on GI/G/1 relationships when lot interarrival times are auto-correlated. Simulation and response surface modeling are used to experimentally determine optimal lot sizes for a sample problem. The flowtimes for "optimal" lot sizes determined analytically are found to compare poorly with with the best flowtimes obtained experimentally. An approah is then developed that uses feedback during simulation to adjust parameters within queuing heuristics that support dynamic lot-size optimization. Performance using this approach compares well with the best performance obtained using the much more difficult experimental approach.