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A Production/Inventory System Subject to Failure with Limited Repair Capacity

Author

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  • Seyed M.R. Iravani

    (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208)

  • Izak Duenyas

    (University of Michigan, Ann Arbor, Michigan 48109)

  • Tava Lennon Olsen

    (University of Michigan, Ann Arbor, Michigan 48109)

Abstract

We consider a production/inventory system consisting of M machines and K (K(le)M) repair crews in which machines are subject to time dependent failures. The repair operations on each machine require one repair crew during the whole operation. In this production/inventory system, each machine is assigned to produce a different item according to a make-to-stock routine. Inventories of each item service a Poisson demand process, and the unsatisfied demands are lost. The objective is to minimize the sum of the average holding and lost-sales penalty costs.We formulate the joint problem of (1) allocating the limited number of repairmen to failed machines and (2) deciding how much finished goods inventory to keep as a Markov decision process. We show that the optimal policy has a very complicated structure. We introduce two models to compute optimal base-stock policies in systems with identical machines, where first break first repair (FBFR) or preemptive priority (PPRI) repair policies are used. Then we present two heuristics to perform the same optimization analysis in systems with different machines. Finally, we compare the combination of the optimal base-stock policy (as the production policy) and the FBFR and PPRI policies (as the repair policies) to the optimal dynamic policy, and through numerical examples we show that this integration creates a solution that is close to the optimal dynamic policy. The results indicate that simple policies for determining finished goods inventory levels and repair crew assignment to failed machines can work well as long as the two problems are addressed in a coordinated manner.

Suggested Citation

  • Seyed M.R. Iravani & Izak Duenyas & Tava Lennon Olsen, 2000. "A Production/Inventory System Subject to Failure with Limited Repair Capacity," Operations Research, INFORMS, vol. 48(6), pages 951-964, December.
    • Handle: RePEc:inm:oropre:v:48:y:2000:i:6:p:951-964
    DOI: 10.1287/opre.48.6.951.12389
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    References listed on IDEAS

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    1. M. Jeya Chandra & Robert G. Sargent, 1983. "A Numerical Method to Obtain the Equilibrium Results for the Multiple Finite Source Priority Queueing Model," Management Science, INFORMS, vol. 29(11), pages 1298-1308, November.
    2. Robert R. Meyer & Michael H. Rothkopf & Stephen A. Smith, 1979. "Reliability and Inventory in a Production-Storage System," Management Science, INFORMS, vol. 25(8), pages 799-807, August.
    3. M. Berg & M. J. M. Posner & H. Zhao, 1994. "Production-Inventory Systems with Unreliable Machines," Operations Research, INFORMS, vol. 42(1), pages 111-118, February.
    4. Phadhana Tosirisuk & Jeya Chandra, 1990. "Multiple finite source queueing model with dynamic priority scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(3), pages 365-381, June.
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    Cited by:

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