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
Proceedings of the 35th conference on Winter simulation: driving innovation
Optimal lot-sizing with capacity constraints and auto-correlated interarrival times
WSC '04 Proceedings of the 36th conference on Winter simulation
Evaluating the performance of supply chain simulations with tradeoffs between mulitple objectives
WSC '04 Proceedings of the 36th conference on Winter simulation
Observations on material flow in supply chains
Proceedings of the 38th conference on Winter simulation
Leveraging new SEMI standard to reduce waste and improve flow for semicoductor manufacturing
Robotics and Computer-Integrated Manufacturing
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Research on lot sizing has mostly assumed single echelon systems. Even when multiple echelon systems have been used, capacity constraints are seldom considered. However, in manufacturing capacity constraints can lead to significant queuing effects. Commonly used lot sizing policies like Lot-For-Lot (LFL) and Period Order Quantity (POQ) do not take these effects into account. This research compares these policies with a Fixed Order Quantity (FOQ) policy, within which lot sizes are based on minimizing estimated lot flowtimes at capacity-constrained machines. Simulation is used to study a small production and distribution network using time-phased planning. Results show that the FOQ policy performs better than both LFL and POQ when inventory levels and delivery performance are of concern.