Analysis of optimal and nearly optimal sequencing policies for a closed queueing network |
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| Authors: | Wendell G. Gilland |
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| Affiliation: | Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Campus Box 3490, Chapel Hill, NC 27599-3490, USA |
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| Abstract: | ![]()
We analyze sequencing policies designed to most effectively utilize the resources of a closed queueing network representation of a manufacturing system. A continuous time Markov decision process formulation is used to compare the performance of optimal sequencing policies and a heuristic developed by analyzing a heavy traffic approximation of the system. |
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| Keywords: | Queueing network Markov decision process Sequencing |
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