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Closest assignment constraints in discrete location problems

Inmaculada Espejo, Alfredo Marín and Antonio M. Rodríguez-Chía

European Journal of Operational Research, 2012, vol. 219, issue 1, 49-58

Abstract: The objective of this paper is to identify the most promising sets of closest assignment constraints in the literature of Discrete Location Theory, helping the authors in the field to model their problems when clients must be assigned to the closest plant inside an Integer Programming formulation. In particular, constraints leading to weak Linear Programming relaxations should be avoided if no other good property supports their use. We also propose a new set of constraints with good theoretical properties.

Keywords: Discrete location; Integer programming; Valid inequalities; Closest assignment (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:219:y:2012:i:1:p:49-58

DOI: 10.1016/j.ejor.2011.12.002

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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