Simulation with Arena
Proceedings of the 35th conference on Winter simulation: driving innovation
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
Observations on material flow in supply chains
Proceedings of the 38th conference on Winter simulation
Service level management of nonstationary supply chain using direct neural network controller
Expert Systems with Applications: An International Journal
Proceedings of the Winter Simulation Conference
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Simulation is well suited to the development and analysis of supply chain models, since the problems of interest tend to be complex and encompass uncertainty. However, there are typically multiple performance objectives that tend to conflict. A major problem in supply chain studies is that assumptions need to be made about the performance tradeoffs involved. Therefore, the conclusions may not be general. In this paper we develop an approach that allows both delivery performance and inventory levels to be considered over a range of tradeoffs. By developing tradeoff curves and analyzing the area under each we are able to reach conclusions that are more general and can be shown to be statistically valid.