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An inventory-routing problem with stochastic demand and stock-out: a solution and risk analysis using simheuristics

dc.contributor.authorOnggo, Bhakti Stephan
dc.contributor.authorJuan Pérez, Ángel Alejandro
dc.contributor.authorPanadero, Javier
dc.contributor.authorCorlu, Canan Gunes
dc.contributor.authorAgustín Martín, Alba
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2020-08-07T07:17:36Z
dc.date.available2021-02-20T00:00:14Z
dc.date.issued2019
dc.description.abstractSupply chain operations have become more complex. Hence, in order to optimise supply chain operations, we often need to simplify the optimisation problem in such a way that it can be solved efficiently using either exact methods or metaheuristics. One common simplification is to assume all model inputs are deterministic. However, for some management decisions, considering the uncertainty in model inputs (e.g., demands, travel times, processing times) is essential. Otherwise, the results may be misleading and might lead to an incorrect decision. This paper considers an example of a complex supply chain operation that can be viewed as an Inventory-Routing Problem with stochastic demands. We demonstrate how a simheuristic framework can be employed to solve the problem. Further, we illustrate the risks of not considering input uncertainty. The results show that simheuristics can produce a good result, and ignoring the uncertainty in the model input may lead to sub-optimal results.en
dc.description.sponsorshipThis work has been partially funded by the IoF2020 project of the European Union (grant agreement no. 731884) and by the Erasmus+ Program (2018-1-ES01-KA103-049767).en
dc.embargo.lift2021-02-20
dc.embargo.terms2021-02-20
dc.format.extent12 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationB. S. Onggo, A. A. Juan, J. Panadero, C. G. Corlu and A. Agustin, 'An Inventory-Routing Problem with Stochastic Demand and Stock-Out: A Solution and Risk Analysis Using Simheuristics,' 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 1977-1988, doi: 10.1109/WSC40007.2019.9004897.en
dc.identifier.doi10.1109/WSC40007.2019.9004897
dc.identifier.isbn978-1-7281-3283-9
dc.identifier.issn0891-7736
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/37767
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofProceedings of the 2019 Winter Simulation Conference (WSC): National Harbor, MD, USA, 2019, pp. 1977-1988. ISBN 978-1-7281-3283-9en
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/731884en
dc.relation.publisherversionhttps://doi.org/10.1109/WSC40007.2019.9004897
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.subjectStochastic processesen
dc.subjectSupply chainsen
dc.subjectRoutingen
dc.subjectOptimizationen
dc.subjectUncertaintyen
dc.subjectPlanningen
dc.subjectRobustnessen
dc.titleAn inventory-routing problem with stochastic demand and stock-out: a solution and risk analysis using simheuristicsen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dspace.entity.typePublication
relation.isAuthorOfPublication4fe81952-0641-4201-878d-bfa374ede534
relation.isAuthorOfPublication.latestForDiscovery4fe81952-0641-4201-878d-bfa374ede534

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