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Parallel machine replacement

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  • Philip C. Jones
  • James L. Zydiak
  • Wallace J. Hopp

Abstract

We consider the parallel replacement problem in which there are both fixed and variable costs associated with replacing machines. Increasing maintenance costs motivate replacements, and the fixed replacement cost provides incentive for replacing machines of different ages together in “clusters.” We prove two intuitive results for this problem. First, it is never optimal to split a cluster of like‐aged machines, and second, it is never optimal to replace newer clusters before older clusters. By incorporating these two results into an algorithmic approach, we vastly reduce the amount of computation required to identify an optimal replacement policy.

Suggested Citation

  • Philip C. Jones & James L. Zydiak & Wallace J. Hopp, 1991. "Parallel machine replacement," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(3), pages 351-365, June.
    • Handle: RePEc:wly:navres:v:38:y:1991:i:3:p:351-365
    DOI: 10.1002/1520-6750(199106)38:33.0.CO;2-U
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    References listed on IDEAS

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    1. James C. Bean & Robert L. Smith, 1984. "Conditions for the Existence of Planning Horizons," Mathematics of Operations Research, INFORMS, vol. 9(3), pages 391-401, August.
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    4. Suresh Sethi & Suresh Chand, 1979. "Planning Horizon Procedures for Machine Replacement Models," Management Science, INFORMS, vol. 25(2), pages 140-151, February.
    5. Sethi, Suresh P. & Taksar, Michael I. & Presman, Ernst L., 1995. "Erratum," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 1297-1298.
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    Cited by:

    1. Zhang, Le & Gu, Weihua & Fu, Liangliang & Mei, Yu & Hu, Yaohua, 2021. "A two-stage heuristic approach for fleet management optimization under time-varying demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    2. Tim McClurg & Suresh Chand, 2002. "A parallel machine replacement model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(3), pages 275-287, April.
    3. Peiling Wu & Joseph C. Hartman & George R. Wilson, 2005. "An Integrated Model and Solution Approach for Fleet Sizing with Heterogeneous Assets," Transportation Science, INFORMS, vol. 39(1), pages 87-103, February.
    4. Joseph C. Hartman, 2000. "The parallel replacement problem with demand and capital budgeting constraints," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(1), pages 40-56, February.
    5. Giovanni Pantuso & Kjetil Fagerholt & Stein W. Wallace, 2016. "Uncertainty in Fleet Renewal: A Case from Maritime Transportation," Transportation Science, INFORMS, vol. 50(2), pages 390-407, May.
    6. Hongmin Li & Stephen C. Graves & Woonghee Tim Huh, 2014. "Optimal Capacity Conversion for Product Transitions Under High Service Requirements," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 46-60, February.
    7. Shields, Brett A. & Seif, Javad & Yu, Andrew Junfang, 2019. "Parallel machine replacement with shipping decisions," International Journal of Production Economics, Elsevier, vol. 218(C), pages 62-71.
    8. Suzanne Childress & Pablo Durango‐Cohen, 2005. "On parallel machine replacement problems with general replacement cost functions and stochastic deterioration," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 409-419, August.
    9. Paul R. Kleindorfer & Andrei Neboian & Alain Roset & Stefan Spinler, 2012. "Fleet Renewal with Electric Vehicles at La Poste," Interfaces, INFORMS, vol. 42(5), pages 465-477, October.
    10. Wallace J. Hopp & Philip C. Jones & James L. Zydiak, 1993. "A further note on parallel machine replacement," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(4), pages 575-579, June.

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