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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | McLean, C. Shao, G. |
| Copyright Year | 2003 |
| Description | Author affiliation: Manuf. Simulation & Modeling Group, Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA (McLean, C.; Shao, G.) |
| Abstract | Manufacturing managers typically commission simulation case studies to support their decision-making processes. These studies are used to evaluate alternative solutions to manufacturing problems in areas such as plant layout, scheduling, capacity planning, capital equipment acquisition, inventory management, and supply chain planning. Procedures for performing case studies vary from organization to organization, and situation to situation. It is possible that two different simulation analysts faced with the same manufacturing problem would perform their case studies differently, obtain different results, and reach different conclusions. The authors contend that standardization of the case study methodology and development of generic case studies would increase the likelihood that the simulation process will be deterministic, i.e., produce repeatable results. We present background on case studies and makes recommendations concerning the advancement of manufacturing simulation case study methods and practices. |
| Sponsorship | American Statistical Assoc. Assoc. for Comput. Machinery, Special Interest Group on Simulation IEEE Comput. Soc. IEEE Systems, Man and Cybernetics Soc. IIE Inst. for Oper. Res. and the Management Sci. College on Simulation Nat. Inst. of Standards and Technol. Soc. for Mideling and Simulation Int |
| Starting Page | 1217 |
| Ending Page | 1224 |
| File Size | 554380 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780381319 |
| DOI | 10.1109/WSC.2003.1261553 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Virtual manufacturing Manufacturing processes Decision making Job shop scheduling Capacity planning Inventory management Supply chains Analytical models Performance analysis Standardization |
| Content Type | Text |
| Resource Type | Article |
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