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Supply constrained location-distribution in not-for-profit settings

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dc.affiliation.dptoUC3M. Departamento de Economía de la Empresaes
dc.contributor.authorHyun Park, Chong
dc.contributor.authorBerenguer Falguera, Gemma
dc.date.accessioned2022-06-21T16:29:45Z
dc.date.available2022-06-21T16:29:45Z
dc.date.issued2020-06-25
dc.description.abstractInspired by the World Food Programme's activity in the post-civil war food crisis in Angola, this study proposes a systematic approach to address the location distribution problem in not-for-profit settings, where a limited volume of supply has to be allocated to different demand regions. The use of utility functions is key in our framework because it allows the decision-maker to establish priorities by representing the heterogeneous effects of distributing supply to different demand locations (location effect) and to different individuals in the same demand location (diminishing returns effect). We propose the use of two fractional objectives with the utility functions embedded into them: an efficiency measure and a new inequity measure related to the Gini coefficient. The suggested problem has the form of a bi-objective integer linear fractional program and our resolution optimization technique is designed to solve for multiple fractional objective measures. Novel analytical results for the worst-case performance of the proposed resolution technique are provided. Our numerical experiments assess computational efficiency and provide concrete managerial prescriptions. Finally, an illustrative application of our approach in the context of the food crisis in Angola is presented based on an efficiency-inequity trade-off analysis.en
dc.description.sponsorshipThis research was partially supported by Sejong University[Grant 20180391] (Park) and Purdue University [Doug andMaria DeVos] (Berenguer).en
dc.identifier.bibliographicCitationPark, C. H., & Berenguer, G. (2020). Supply Constrained Location‐Distribution in Not‐for‐Profit Settings. Production and Operations Management, 29 (11), pp. 2461-2483.es
dc.identifier.doihttps://doi.org/10.1111/poms.13235
dc.identifier.issn1059-1478
dc.identifier.publicationfirstpage2461es
dc.identifier.publicationissue11es
dc.identifier.publicationlastpage2483es
dc.identifier.publicationtitlePRODUCTION AND OPERATIONS MANAGEMENTen
dc.identifier.publicationvolume29es
dc.identifier.urihttps://hdl.handle.net/10016/35211
dc.identifier.uxxiAR/0000026491
dc.language.isoengen
dc.publisherWileyes
dc.rights© 2020 Production and Operations Management Societyen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaEconomíaes
dc.subject.ecienciaEmpresaes
dc.subject.otherLocation distributionen
dc.subject.otherUtilityen
dc.subject.otherGini indexen
dc.subject.otherEfficiencyen
dc.subject.otherFractional programmingen
dc.titleSupply constrained location-distribution in not-for-profit settingsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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