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dc.contributor.authorKiil, Kasper
dc.contributor.authorDreyer, Heidi Carin
dc.contributor.authorHvolby, Hans-Henrik
dc.contributor.authorChabada, Lukas
dc.date.accessioned2019-05-21T05:59:12Z
dc.date.available2019-05-21T05:59:12Z
dc.date.created2018-01-08T16:10:31Z
dc.date.issued2018
dc.identifier.citationProduction planning & control (Print). 2018, 29 (2), 106-116.nb_NO
dc.identifier.issn0953-7287
dc.identifier.urihttp://hdl.handle.net/11250/2598136
dc.description.abstractThe aim of this study is to empirically investigate the impact of automatic replenishment on food waste metrics in grocery stores. The work has been designed as a case study focusing on the replenishment process among various stores and a single warehouse. Food waste metrics of products ordered through an automatic replenishment program are compared against products ordered manually. Specifically we contrast food waste, remaining shelf life and availability at the stores for a variety of products with different shelf life. The study suggests that by utilising an automatic replenishment program the stores can reduce their level of food waste by up to 20% and their products have a longer remaining shelf life without compromising on-shelf availability. The study also indicates that the impact of the automatic replenishment program is dependent on the product’s shelf life. Those products with a shelf life of between 51 and 110 days experience the highest impact, while products with a shelf life below 30 days experience a low or even negative impact. The study extends the current understanding of automatic replenishment programs. The key point for practitioners is to apply appropriate replenishment programs according to the product characteristics and especially the shelf life.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titleSustainable food supply Chains: the impact of automatic replenishment in grocery storesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber106-116nb_NO
dc.source.volume29nb_NO
dc.source.journalProduction planning & control (Print)nb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.1080/09537287.2017.1384077
dc.identifier.cristin1538089
dc.relation.projectNorges forskningsråd: 236659nb_NO
dc.description.localcodeLocked until 11 October 2018 due to copyright restrictions. This is an Accepted Manuscript of an article published by Taylor & Francis in Production, Planning & Control on 11 October 2017, available at https://doi.org/10.1080/09537287.2017.1384077nb_NO
cristin.unitcode194,64,92,0
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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