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
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
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This paper summarizes one group of recent simulation studies comparing replenishment strategies. Time-phased planning, implemented using DRP and MRP logic, continuous-review reorder point (ROP) and single-card Kan-ban (KBN) systems are considered. These differ in terms of decision-making information, logic and integration requirements. Experimental results have been statistically analyzed and explained using simple stochastic models. Steps have also been taken to evaluate which strategies are most suitable under various demand patterns, levels of uncertainty and capacity constraints. Results show that DRP/MRP is superior under time-varying demand, regardless of whether or not capacity constraints are present. With no capacity constraints and level demand, ROP is superior to KBN, in part because it considers backorder information. With capacity constraints behavior is complicated by queuing effects. Under level demand, KBN may slightly outperform ROP, given assumptions of equal lot sizes, order placement delays and transportation times.