Quotation Parragh, Sophie, Tricoire, Fabien, Gutjahr, Walter. 2021. A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem. OR Spectrum.


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Abstract

In many real-world optimization problems, more than one objective plays a role and input parameters are subject to uncertainty. In this paper, motivated by applications in disaster relief and public facility location, we model and solve a bi-objective stochastic facility location problem. The considered objectives are cost and covered demand, where the demand at the different population centers is uncertain but its probability distribution is known. The latter information is used to produce a set of scenarios. In order to solve the underlying optimization problem, we apply a Benders’ type decomposition approach which is known as the L-shaped method for stochastic programming and we embed it into a recently developed branch-and-bound framework for bi-objective integer optimization. We analyze and compare different cut generation schemes and we show how they affect lower bound set computations, so as to identify the best performing approach. Finally, we compare the branch-and-Benders-cut approach to a straight-forward branch-and-bound implementation based on the deterministic equivalent formulation.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal OR Spectrum
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, STRAT-A, VW-C, WH-A
Language English
Title A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem
Year 2021
Reviewed? Y
URL https://link.springer.com/article/10.1007/s00291-020-00616-7
DOI https://doi.org/10.1007/s00291-020-00616-7
Open Access Y
Open Access Link https://link.springer.com/article/10.1007/s00291-020-00616-7

Associations

People
Tricoire, Fabien (Details)
External
Gutjahr, Walter (University of Vienna, Austria)
Parragh, Sophie (Johannes Kepler University Linz, Austria)
Organization
Institute for Transport and Logistics Management (Details)
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