Facility Location Under Uncertainty

Isabel Correia () and Francisco Saldanha Gama ()
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Isabel Correia: Universidade Nova de Lisboa
Francisco Saldanha Gama: Universidade de Lisboa Campo Grande

Chapter Chapter 8 in Location Science, 2015, pp 177-203 from Springer

Abstract: Abstract In this chapter, we cover some essential knowledge on facility location under uncertainty. We put a major emphasis on modeling aspects related with discrete facility location problems. Different modeling frameworks are discussed. In particular, we distinguish between robust optimization, stochastic programming and chance-constrained models. We also discuss relevant aspects such as solution techniques, multi-stage stochastic programming models, scenario generation, and extensions of basic problems.

Keywords: Chance constraints; Robust optimization; Stochastic programming (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-13111-5_8

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DOI: 10.1007/978-3-319-13111-5_8

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