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Multi-Period Facility Location

In: Location Science

Author

Listed:
  • Stefan Nickel

    (Karlsruhe Institute of Technology (KIT), Institute for Operations Research and Research Center for Information Technology (FZI))

  • Francisco Saldanha-da-Gama

    (Faculdade de Ciências, Universidade de Lisboa, Departamento de Estatística e Investigação Operacional e Centro de Matemática, Aplicações Fundamentais e Investigação Operacional)

Abstract

This chapter covers different aspects related with facility location problems involving time-dependent parameters. The emphasis is put on problems defined over a multi-period finite planning horizon. An overview of continuous and network problems is presented, although most of the chapter focuses on a discrete setting. Basic modeling aspects and solution techniques are discussed. Additionally, some features of practical relevance are considered. The value of the multi-period solution is introduced as a measure for the relevance of considering a multi-period modeling framework instead of a time-invariant one. Current challenges and future trends on the topic are discussed.

Suggested Citation

  • Stefan Nickel & Francisco Saldanha-da-Gama, 2019. "Multi-Period Facility Location," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 2, chapter 0, pages 303-326, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-32177-2_11
    DOI: 10.1007/978-3-030-32177-2_11
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    Cited by:

    1. Šárka Štádlerová & Peter Schütz & Ivar Refsdal & Tobias Spinnangr Sindre & František Kolovský, 2026. "Solving a multi-horizon stochastic facility location problem with capacity expansion," Computational Management Science, Springer, vol. 23(1), pages 1-36, June.
    2. Pashapour, Amirreza & Günneç, Dilek & Salman, F. Sibel & Yücel, Eda, 2024. "Capacitated Mobile Facility Location Problem with Mobile Demand: Efficient Relief Aid Provision to En Route Refugees," Omega, Elsevier, vol. 129(C).

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