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Inventory models with reverse logistics for assets acquisition in a liquefied petroleum gas company

2020Journal article Open access
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dc.contributor.authorLopes, Cristina
dc.contributor.authorCorreia, Aldina
dc.contributor.authorCosta e Silva, Eliana
dc.contributor.authorMonteiro, Magda
dc.contributor.authorBorges Lopes, Rui
dc.date.accessioned2021-10-07T09:43:20Z
dc.date.available2021-10-07T09:43:20Z
dc.date.issued2020
dc.description.abstractThis paper addresses a case study regarding inventory models for acquiring liquefied petroleum gas (LPG) cylinders. This is an industrial challenge that was proposed at an European Study Group with Industry, by a Portuguese energy company, for which the LPG cylinder is the main asset of its LPG business. Due to the importance of this asset, an acquisition plan must be defined in order to determine the amount of LPG cylinders to acquire, and when to acquire them, in order to optimize the investment. As cylinders are returned and refilled, the reverse logistic flows of these assets must be considered. As the classical inventory models are not suitable for this case study, three new inventory models, which account for the return of LPG cylinders, are proposed in this work. The first proposed model considers deterministic constant demand and continuous returns of LPG cylinders, with discrete replenishment from the supplier. The second model is similar, but for the case when the returnedcylinders cover for the demand. A third model is also proposed considering that boththe demand and the returns are stochastic in nature and the replenishment from thesupplier is discrete. The three models address different scenarios that the company iseither currently facing or is expecting to occur in the near future.pt_PT
dc.description.sponsorshipThere is no funding for this paper. The industrial challenge addressed in this paper was posed in an ESGI which was supported by COST Action TD1409, Mathematics for Industry Network (MI-NET), COST-European Cooperation in Science and Technology. AC and ECS are full members of Center for Research and Innovation in Business Sciences and Information Systems (CIICESI) which is supported by national funds through FCT - Fundação para a Ciência e Tecnologia through project UIDB/04728/2020. MM and RBL are full members of Center for Research and Development in Mathematics and Applications (CIDMA) which is supported by FCT through projects, references UIDB/04106/2020 and UIDP/04106/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1186/s13362-020-00078-0pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18665
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://mathematicsinindustry.springeropen.com/articles/10.1186/s13362-020-00078-0pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectInventory modelspt_PT
dc.subjectReverse logisticspt_PT
dc.subjectAssets acquisitionpt_PT
dc.subjectDecision makingpt_PT
dc.titleInventory models with reverse logistics for assets acquisition in a liquefied petroleum gas companypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.titleJournal of Mathematics in Industrypt_PT
oaire.citation.volume10pt_PT
person.familyNameLopes
person.givenNameCristina
person.identifier.orcid0000-0003-0551-3908
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1e2ed7f0-4aca-43b1-ac6f-22d71eae54b9
relation.isAuthorOfPublication.latestForDiscovery1e2ed7f0-4aca-43b1-ac6f-22d71eae54b9

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