Why Is It So Hard to Build and Validate Discrete Event Simulation Models of Manufacturing Facilities?

Seth A. Fischbein () and Edward Yellig
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Seth A. Fischbein: Intel Corporation

Chapter Chapter 12 in Planning Production and Inventories in the Extended Enterprise, 2011, pp 271-288 from Springer

Abstract: Abstract Discrete event simulation modeling methods are widely used to evaluate the performance of manufacturing systems. These models provide factory management the ability to test different manufacturing methods and operational policies before a factory is built, or before significant changes are made to a facility. These policies could include testing of proposed manufacturing methods, layout methodologies, production equipment assignment strategies, equipment maintenance and repair policies, operator staffing scenarios, and factory automation configurations. Using these models, it is possible to evaluate the performance or predict future performance based on a detailed sensitivity analysis of these different operating variables. This ability has proven to be invaluable, especially if the analysis is performed before major investment decisions are made or prior to finalizing factory designs. Consequently, discrete event simulation modeling continues to be an enabling capability for performance evaluation of manufacturing systems.

Keywords: Preventive Maintenance; Discrete Event Simulation; Production Equipment; Modeling Engineer; Real Factory (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-1-4419-8191-2_12

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