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dc.contributor.authorRanda, A. C.
dc.contributor.authorDoğru, M. K.
dc.contributor.authorİyigun, C.
dc.contributor.authorÖzen, Ulaş
dc.date.accessioned2020-07-02T12:19:17Z
dc.date.available2020-07-02T12:19:17Z
dc.date.issued2019-09
dc.identifier.issn0305-0548en_US
dc.identifier.urihttp://hdl.handle.net/10679/6692
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S030505481930067X
dc.description.abstractWe consider a lot-sizing problem in a single-item single-stage production system facing non-stationary stochastic demand in a finite planning horizon. Motivated by common practice, the set-up times need to be determined and frozen once and for all at the beginning of the horizon while decisions on the exact lot sizes can be deferred until the setup epochs. This operating scheme is referred to as the static dynamic uncertainty strategy in the literature. It has been shown that a modified base stock policy is optimal for a capacitated system with minimum lot size restrictions under the static-dynamic uncertainty strategy. However, the optimal policy parameters require an exhaustive search, for which the computational time grows exponentially in the number of periods in the planning horizon. In order to alleviate the computational burden for real-life size problems, we developed and tested seven different heuristics for computational efficiency and solution quality. Our extensive numerical experiments showed that average optimality gaps less than 0.1% and maximum optimality gaps below 4% can be attained in reasonable running times by using a combination of these heuristics.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofComputers and Operations Research
dc.rightsrestrictedAccess
dc.titleHeuristic methods for the capacitated stochastic lot-sizing problem under the static-dynamic uncertainty strategyen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-8648-0468 & YÖK ID 25316) Özen, Ulaş
dc.contributor.ozuauthorÖzen, Ulaş
dc.identifier.volume109en_US
dc.identifier.startpage89en_US
dc.identifier.endpage101en_US
dc.identifier.wosWOS:000472124500007
dc.identifier.doi10.1016/j.cor.2019.03.007en_US
dc.subject.keywordsStochastic lot-sizing problemen_US
dc.subject.keywordsStatic-dynamic uncertaintyen_US
dc.subject.keywordsNon-stationaryen_US
dc.subject.keywordsHeuristicen_US
dc.subject.keywordsPenalty costen_US
dc.identifier.scopusSCOPUS:2-s2.0-85065030559
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institution Academic Staff


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