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Integrated demand-responsive scheduling of maintenance and transportation operations in military supply chains

Author

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  • Dmitry Tsadikovich
  • Eugene Levner
  • Hanan Tell
  • Frank Werner

Abstract

The management of a military supply chain (SC) involves the integration of production, packaging, warehousing, repair, maintenance and transportation of army supplies. In this paper, we focus on the integrated demand-responsive scheduling of maintenance and transportation operations within the SC. We consider a modular representation of a SC, in which the maintenance and transportation operations constitute the corresponding modules. An efficient integration of these operations is carried out by an additional controlling (commanding) module. We describe and analyse the optimisation problems arising in each module. The main contribution of the paper is that the analysis and optimisation of the controlling module permit to enhance the performance of the entire SC. Computational experiments prove the validity and effectiveness of the suggested models.

Suggested Citation

  • Dmitry Tsadikovich & Eugene Levner & Hanan Tell & Frank Werner, 2016. "Integrated demand-responsive scheduling of maintenance and transportation operations in military supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 54(19), pages 5798-5810, October.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:19:p:5798-5810
    DOI: 10.1080/00207543.2016.1178864
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    Cited by:

    1. Mohammad Marufuzzaman & Farjana Nur & Amy E. Bednar & Mark Cowan, 2020. "Enhancing Benders decomposition algorithm to solve a combat logistics problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 161-198, March.
    2. Fátima Pilar & Eliana Costa e Silva & Ana Borges, 2023. "Optimizing Vehicle Repairs Scheduling Using Mixed Integer Linear Programming: A Case Study in the Portuguese Automobile Sector," Mathematics, MDPI, vol. 11(11), pages 1-23, June.
    3. Zhou, Wei & Zhang, Cheng & Wang, Qiangqiang, 2018. "Concealment measurement and flow distribution of military supply transportation: A double-entropy model," European Journal of Operational Research, Elsevier, vol. 264(2), pages 570-581.

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