Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation of a paint shop power and free line
Proceedings of the 29th conference on Winter simulation
Effective implementation of cycle time reduction strategies for semiconductor back-end manufacturing
Proceedings of the 30th conference on Winter simulation
A rapid modeling technique for measurable improvements in factory performance
Proceedings of the 30th conference on Winter simulation
Determining optimal lot-size for a semiconductor back-end factory
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Validating simulation model cycle times at Seagate Technology
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation of manufacturing systems
Applied system simulation
On supporting Lean methodologies using constraint-based scheduling
Journal of Scheduling
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In this paper, we identify and discuss the features we believe are key to the successful use of simulation as a manufacturing support tool. The discussion begins with three sample projects drawn from the authors' industrial and consulting experiences. Using these projects as motivation, we discuss the ideal project lifecycle model design, development, and deployment. For model design, we emphasize the importance of a clear and consistent specification, articulated in a written document. This specification should identify project customers, goals, and deliverables. We next review a range of model development options, stressing the existence of many non-simulation alternatives. We also discuss methods for model verification and validation. Finally, we consider the difficulties of model deployment, including simulation output analysis, data maintenance, and model integration. We close with several suggestions on how best to present simulation results to a management audience.