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A framework for capacity planning and machine configuration in flexible assembly systems
Authors:Heungsoon Felix Lee  Mandyam M Srinivasan and Candace Arai Yano
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
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.
Keywords:Manufacturing system design  Flexible manufacturing systems  Capacity planning
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