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dc.contributor.authorTamssaouet, Karim
dc.contributor.authorEngebrethsen, Erna
dc.contributor.authorDauzère-Pérès, Stéphane
dc.date.accessioned2023-09-25T10:18:06Z
dc.date.available2023-09-25T10:18:06Z
dc.date.created2023-08-18T08:49:05Z
dc.date.issued2023
dc.identifier.citationInternational Journal of Production Economics. 2023, 265 1-15.en_US
dc.identifier.issn0925-5273
dc.identifier.urihttps://hdl.handle.net/11250/3091708
dc.description.abstractThis paper addresses a tactical joint inventory and transportation planning problem for multiple items with deterministic and time-varying demand, considering different transportation modes and item fragmentation. The latter corresponds to the splitting of the same item ordered quantity between several trucks or containers. On the one hand, fragmenting the items potentially reduces the number of containers used. On the other hand, loading the item lot fragments on several containers may negatively impact the handling and shipping operations. This new problem is proposed as a way to tackle such conflict. Several Mixed Integer Linear Programming models are proposed for the problem, which rely on two multi-item lot-sizing models with mode selection and two bin-packing models with item fragmentation. A relax-and-fix heuristic is also proposed. Using realistic instances, computational experiments are first conducted to identify the most efficient model in terms of computational time, to study the impact of key parameters on the computational complexity and to analyze the efficiency of the heuristic. Then, managerial insights are derived through additional computational experiments, in particular, to identify contexts requiring joint optimization of lot-sizing and bin-packing decisions, as well as the impact of item fragmentation constraints. Directions for future research are finally proposed.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectInventoryen_US
dc.subjectLot sizingen_US
dc.subjectBin packingen_US
dc.subjectFragmentationen_US
dc.subjectTransportation mode selectionen_US
dc.titleMulti-item dynamic lot sizing with multiple transportation modes and item fragmentationen_US
dc.title.alternativeMulti-item dynamic lot sizing with multiple transportation modes and item fragmentationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThe Authorsen_US
dc.source.pagenumber1-15en_US
dc.source.volume265en_US
dc.source.journalInternational Journal of Production Economicsen_US
dc.identifier.doi10.1016/j.ijpe.2023.109001
dc.identifier.cristin2167823
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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