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Facility Location Under Uncertainty

In: Location Science

Author

Listed:
  • Isabel Correia

    (Universidade Nova de Lisboa, Departamento de Matemática e Centro de Matemática e Aplicações, Faculdade de Ciências e Tecnologia)

  • Francisco Saldanha-da-Gama

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

Abstract

This chapter covers some of the existing knowledge on facility location under uncertainty. The goal is to provide the reader with essential tools for modeling and tackling problems in the area. To a large extent, the focus is put on discrete facility location problems. Several issues related with uncertainty are discussed. A distinction is made between problems in the areas of robust optimization, stochastic programming and chance-constrained programming. The presentation is complemented with several other aspects of relevance such as multi-stage stochastic programming models, scenario generation, and solution techniques. Several well-known facility location problems are used throughout the chapter for illustrative purposes.

Suggested Citation

  • Isabel Correia & Francisco Saldanha-da-Gama, 2019. "Facility Location Under Uncertainty," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 2, chapter 0, pages 185-213, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-32177-2_8
    DOI: 10.1007/978-3-030-32177-2_8
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