The use of simulation modeling and factorial analysis as a method for process flow improvement |
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| Authors: | Richard N. Callahan Kevin M. Hubbard Neil M. Bacoski |
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| Affiliation: | (1) Dept. of Industrial Management/Glass Hall 200, Missouri State University, 901 South National Avenue, Springfield, MO 65804, USA;(2) Dept. of Industrial Engineering, Southern Illinois University Edwardsville, State Route 157/Campus Box 1805, Edwardsville, IL 62026, USA;(3) Maintenance General Foreman, General Motors Fairfax Assembly, 3201 Fairfax Trafficway, Kansas City, KS 66115, USA |
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| Abstract: | Over the past quarter century, much effort has been devoted to the design and development of simulation modeling languages, and to methods for the development of simulation models themselves. Less effort, however, has been expended on the design of the experimental models upon which simulation studies are based. This paper describes a methodology for the determination of near optimal solutions considering experimental design and simulation modeling. Using this methodology, simulation scenarios are created and analyzed using an analysis of variance (ANOVA)-based experimental design. This paper also presents an application of this method in analyzing a manufacturing system design problem. |
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| Keywords: | Analysis of variance (ANOVA) Simulation modeling Design of experiments Factor interaction Factorial analysis Production management |
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