Publication:
A mixed integer programming formulation for the 1-maximin problem

dc.contributor.coauthorN/A
dc.contributor.departmentDepartment of Business Administration
dc.contributor.departmentDepartment of Business Administration
dc.contributor.kuauthorSayın, Serpil
dc.contributor.kuprofileFaculty Member
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.contributor.yokid6755
dc.date.accessioned2024-11-09T22:53:40Z
dc.date.issued2000
dc.description.abstractIn this paper, I present a mixed integer programming (MIP) formulation for the 1-maximin problem with rectilinear distance. The problem mainly appears in facility location while trying to locate an undesirable facility. The rectilinear distance is quite commonly used in the location literature. Our numerical experiments show that one can solve reasonably large location problems using a standard MIP solver. We also provide a linear programming formulation that helps find an upper bound on the objective function value of the 1-maximin problem with any norm when extreme points of the feasible region are known. We discuss various extension alternatives for the MIP formulation.
dc.description.indexedbyScopus
dc.description.issue3
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume51
dc.identifier.doi10.1057/palgrave.jors.2600878
dc.identifier.issn0160-5682
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0033880238anddoi=10.1057%2fpalgrave.jors.2600878andpartnerID=40andmd5=3b8cebb15180a2f5edec7cb7fc38ff10
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-0033880238
dc.identifier.urihttp://dx.doi.org/10.1057/palgrave.jors.2600878
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7237
dc.keywords1-maximin
dc.keywordsFacility location
dc.keywordsMIP
dc.keywordsRectilinear
dc.keywordsTchebycheff Functions
dc.keywordsInteger programming
dc.keywordsProblem solving
dc.keywordsMixed integer programming (MIP)
dc.keywordsOperations research
dc.languageEnglish
dc.publisherOperational Research Society
dc.sourceJournal of the Operational Research Society
dc.subjectBusiness administration
dc.titleA mixed integer programming formulation for the 1-maximin problem
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-3672-0769
local.contributor.kuauthorSayın, Serpil
relation.isOrgUnitOfPublicationca286af4-45fd-463c-a264-5b47d5caf520
relation.isOrgUnitOfPublication.latestForDiscoveryca286af4-45fd-463c-a264-5b47d5caf520

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