Please use this identifier to cite or link to this item: http://hdl.handle.net/10739/4587
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dc.contributor.authorYetkin Ekren, Banu-
dc.contributor.authorMangla, Sachin Kumar-
dc.contributor.authorEroglu Turhanlar, Ecem-
dc.contributor.authorKazancoglu, Yigit-
dc.contributor.authorLi, Guo-
dc.date.accessioned2021-03-17T14:52:23Z-
dc.date.available2021-03-17T14:52:23Z-
dc.date.issued2021-06-
dc.identifier.citationEkren, B. Y., Mangla, S. K., Turhanlar, E. E., Kazancoglu, Y., & Li, G. (2021). Lateral Inventory Share-based Models for IoT-Enabled E-Commerce Sustainable Food Supply Networks. Computers and Operations Research, 130, e.105237.en_US
dc.identifier.urihttp://hdl.handle.net/10739/4587-
dc.description.abstractThis research investigates lateral inventory share-based business models for e-grocery networks where online groceries are inter-connected in an Internet of Things (IoT) environment. Recently, managing food supplies has become a very important issue due to the onset of unexpected conditions such as natural disasters (earthquakes, tsunamis, floods, droughts etc.) and pandemics. In this paper, we aim to design sustainable food supply chain networks for e-commerce food companies (e.g. e-groceries) by applying lateral inventory share policies after the consideration of the existence of strategic alliances between organizations. We aim to minimize food waste as well as back orders resulting in more sustainable networks. Further, we explore how a business-to-business (B2B) policy (i.e. lateral-inventory share policy) should be designed to optimize business (i.e. e-groceries) profitability. We optimize the re-order and up-to () inventory levels of e-groceries for the pre-defined sharing policies by using a simulation optimization approach. The optimal results show that having a lateral inventory share poliIndiacy in food networks is more efficient compared to a non-lateral policy. Also, at the optimal points of the considered policies, lateral inventory share ratio is usually observed to be larger than 50% on average, meaning that more than half of customer orders are met by lateral inventory share.en_US
dc.formattexten_US
dc.publisherComputers and Operations Research, Elsevier, UKen_US
dc.subjectLateral-inventoryen_US
dc.subjectIndustry 4.0en_US
dc.subjecte-Groceryen_US
dc.subjectB2Ben_US
dc.subjectSustainable food supply chain networken_US
dc.subjectFood wasteen_US
dc.titleLateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networksen_US
dc.typejournal-articleen_US
dc.typeScopusen_US
dc.typejournal-articleen_US
dc.typeScopusen_US
dc.institutionJindal Global Business School (co-author)en_US
dc.identifier.doihttps://doi.org/10.1016/j.cor.2021.105237-
dc.rightlicenseden_US
Appears in Collections:JGU Research Publications

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