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dc.contributor.authorKania, Adhe
dc.contributor.authorSipilä, Juha
dc.contributor.authorAfsar, Bekir
dc.contributor.authorMiettinen, Kaisa
dc.contributor.editorMes, Martijn
dc.contributor.editorLalla-Ruiz, Eduardo
dc.contributor.editorVoß, Stefan
dc.date.accessioned2021-10-11T10:53:30Z
dc.date.available2021-10-11T10:53:30Z
dc.date.issued2021
dc.identifier.citationKania, A., Sipilä, J., Afsar, B., & Miettinen, K. (2021). Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), <i>Computational Logistics : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings</i> (pp. 208-221). Springer. Lecture Notes in Computer Science, 13004. <a href="https://doi.org/10.1007/978-3-030-87672-2_14" target="_blank">https://doi.org/10.1007/978-3-030-87672-2_14</a>
dc.identifier.otherCONVID_101242103
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/78083
dc.description.abstractIn this paper, we integrate a lot sizing problem with the problem of determining optimal values of safety stock and safety lead time. We propose a probability of product availability formula to assess the quality of safety lead time and a multiobjective optimization model as an integrated lot sizing problem. In the proposed model, we optimize six objectives simultaneously: minimizing purchasing cost, ordering cost, holding cost and, at the same time, maximizing cycle service level, probability of product availability and inventory turnover. To present the applicability of the proposed model, we consider a real case study with data from a manufacturing company and apply the interactive NAUTILUS Navigator method to support the decision maker from the company to find his most preferred solution. In this way, we demonstrate how the decision maker navigates without having to trade-off among the conflicting objectives and could find a solution that reflects his preference well.en
dc.format.extent662
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofComputational Logistics : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsIn Copyright
dc.subject.otherInventory management
dc.subject.otherUncertain demand
dc.subject.otherUncertain lead time
dc.subject.otherInteractive decision making
dc.subject.otherNAUTILUS
dc.subject.otherNavigator
dc.titleInteractive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202110115119
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineMultiobjective Optimization Groupfi
dc.contributor.oppiaineLaskennallinen tiedefi
dc.contributor.oppiainePäätöksen teko monitavoitteisestifi
dc.contributor.oppiaineMultiobjective Optimization Groupen
dc.contributor.oppiaineComputational Scienceen
dc.contributor.oppiaineDecision analytics utilizing causal models and multiobjective optimizationen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-3-030-87671-5
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange208-221
dc.relation.issn0302-9743
dc.type.versionacceptedVersion
dc.rights.copyright© Springer Nature Switzerland AG 2021
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Computational Logistics
dc.relation.grantnumber311877
dc.relation.grantnumber322221
dc.subject.ysovarastonvalvonta
dc.subject.ysopäätöksentukijärjestelmät
dc.subject.ysomonitavoiteoptimointi
dc.subject.ysologistiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p13573
jyx.subject.urihttp://www.yso.fi/onto/yso/p27803
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
jyx.subject.urihttp://www.yso.fi/onto/yso/p9140
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-030-87672-2_14
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundinginformationThis research was partly funded by LPDP, the Indonesian Endowment Fund for Education (grant number S-5302/LPDP.4/2020), and the Academy of Finland (grants 322221 and 311877). The research is related to the thematic research area DEMO (Decision Analytics utilizing Causal Models and Multiobjective Optimization, jyu.fi/demo) of the University of Jyväskylä.
dc.type.okmA4


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