A framework for capacity planning and machine configuration in flexible assembly systems |
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Authors: | Heungsoon Felix Lee Mandyam M. Srinivasan Candace Arai Yano |
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Affiliation: | 1. Industrial and Manufacturing Engineering, Southern Illinois University, Edwardsville, IL, 62026, USA 2. Management Science Program, College of Business Administration, University of Tennessee, Knoxville, TN, 37996, USA 3. Industrial Engineering and Operations Research and the Haas School of Business, University of California, Berkeley, CA, 94720, USA
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Abstract: | We consider the problem of simultaneously determining the number of machines (and/or workers), the assignment of tasks (and related tools and components) to these machines, and the number of jobs circulating in a flexible assembly system (FAS), to satisfy steady-state throughput requirements for a family of similar products at minimum cost. We focus on situations where there are precedence relations among the various tasks, as is common in assembly systems. We present a framework for solving this problem based on a heuristic decomposition approach which involves the solution of only a few types of sub-problems. We demonstrate the efficiency and effectiveness of the overall procedure using a number of example problems. |
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