Design of manufacturing systems using queueing models |
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Authors: | John A. Buzacott J. George Shanthikumar |
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Affiliation: | (1) Faculty of Administrative Studies, York University, M3J1 P3 North York, Ontario, Canada;(2) Walter A. Haas School of Business, University of California at Berkeley, 94720 Berkeley, CA, USA |
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Abstract: | Design issues in various types of manufacturing systems such as flow lines, automatic transfer lines, job shops, flexible machining systems, flexible assembly systems and multiple cell systems are addressed in this paper. Approaches to resolving these design issues of these systems using queueing models are reviewed. In particular, we show how the structural properties that are recently derived for single and multiple stage queueing systems can be used effectively in the solution of certain design optimization problems.Supported in part by the Natural Sciences and Engineering Research Council of Canada via Operating and Strategic Grants on Modeling and Analyses of Production Systems and Modeling and Implementation of Just-in-Time Cells.Supported in part by the NSF Grants ECS-8811234 and DDM-9113008 and by Sloan Foundation Grants for the Consortium for Competitiveness and Cooperation and for the study on Competitive Semiconductor Manufacturing. |
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Keywords: | Queueing networks manufacturing systems design optimization second order properties convexity supermodularity transposition increasingness Schur convexity |
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