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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Keywords: | Manufacturing system design Flexible manufacturing systems Capacity planning |
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