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dc.contributor.authorAndreassen, Ninni Kristina
dc.contributor.authorOluyisola, Olumide Emmanuel
dc.contributor.authorStrandhagen, Jan Ola
dc.contributor.authorSemini, Marco
dc.date.accessioned2020-02-04T11:02:12Z
dc.date.available2020-02-04T11:02:12Z
dc.date.created2020-01-17T17:15:36Z
dc.date.issued2019
dc.identifier.citationIFAC-PapersOnLine. 2019, 52 (13), 1307-1312.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2639513
dc.description.abstractWith respect to process manufacturing industries, there has been limited research on inbound transportation management in the literature. While some of the methods and strategies developed in the discrete manufacturing industry are easily applicable in the process industries, increasing changes in business environment through emerging technologies and a push for increasing sustainability performance motivates the need for research that addresses the needs of process manufacturers. The purpose of this paper is therefore to provide an overview of current research on key variables to consider when deciding inbound transportation strategy. Those factors are then discussed by looking at the opportunities and challenges they present in the process manufacturing supply chain context, via a case study of a paints and chemicals manufacturing company. Data from the case study was collected during a workshop at the main factory location, and several follow-up interviews. The main opportunities identified are improved sustainability and visibility, while main challenges are increased complexity, and increase in coordination requirements with more collaboration.nb_NO
dc.language.isoengnb_NO
dc.publisherInternational Federation of Automatic Control (IFAC)nb_NO
dc.titleDecision Variables for Inbound Transportation Redesign in a Chemical Manufacturing Supply Chainnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1307-1312nb_NO
dc.source.volume52nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue13nb_NO
dc.identifier.doihttps://doi.org/10.1016/j.ifacol.2019.11.379
dc.identifier.cristin1776202
dc.description.localcode© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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