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A comparative study of three tool replacement/operation sequencing strategies in a flexible manufacturing system

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  • Patrick H. Liu

Abstract

This paper studies three tool replacement/operation sequencing strategies for a flexible manufacturing system over a finite time horizon: (1) failure replacement—replace the tool only upon failure, (2) optimal preventive tool replacement for a fixed sequence of operations, and (3) joint scheduling of the optimal preventive tool replacement times and the optimal sequence of operations. Stochastic dynamic decision models are used for strategies 2 and 3. The optimization criterion for strategies 2 and 3 is the minimization of the total expected cost over the finite time horizon. We will show through numerical studies that, with the same amount of information, the total expected costs can be reduced considerably by choosing an optimal strategy. Our conclusion is that in flexible manufacturing, optimal tool replacement and optimal operations sequencing are not separate issues. They should be considered jointly to minimize the expected total cost. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 479–499, 2000

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  • Patrick H. Liu, 2000. "A comparative study of three tool replacement/operation sequencing strategies in a flexible manufacturing system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(6), pages 479-499, September.
    • Handle: RePEc:wly:navres:v:47:y:2000:i:6:p:479-499
    DOI: 10.1002/1520-6750(200009)47:63.0.CO;2-7
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    3. Thomas A. Mazzuchi & Refik Soyer, 1989. "Assessment of machine tool reliability using a proportional hazards model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(6), pages 765-777, December.
    4. Makis, V., 1995. "Optimal replacement of a tool subject to random failure," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 249-256, October.
    5. Christos Koulamas, 1994. "The Total Tardiness Problem: Review and Extensions," Operations Research, INFORMS, vol. 42(6), pages 1025-1041, December.
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