Simulation in Production Planning: An Overview with Emphasis on Recent Developments in Cycle Time Estimation

Bruce E. Ankenman (), Jennifer M. Bekki, John Fowler, Gerald T. Mackulak, Barry L. Nelson and Feng Yang
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Bruce E. Ankenman: Northwestern University

Chapter Chapter 19 in Planning Production and Inventories in the Extended Enterprise, 2011, pp 565-591 from Springer

Abstract: Abstract In today’s business environment, cycle time is a critical performance measure for manufacturing, and accurate estimation of cycle time–throughput (CT–TH) relationships plays an important role in successful production planning. To efficiently generate such comprehensive performance profiles, we propose a metamodeling approach, which integrates discrete-event simulation, adaptive statistical methods, and analytical queueing analysis. The resulting metamodels are mathematical equations quantifying the CT–TH relationships, and they have the “what-if” capability of tractable queueing models as well as the high fidelity of detailed simulation. In this chapter, methods for metamodeling CT–TH profiles are described for both single and multiproduct environments assuming that the manufacturing system is operated in steady state. As a future direction, the investigation of transient CT–TH behavior is also briefly discussed.

Keywords: Cycle Time; Manufacturing System; Design Point; Average Cycle Time; Common Random Number (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-1-4419-6485-4_19

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