Please use this identifier to cite or link to this item: http://hdl.handle.net/10739/4587
Title: Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks
Authors: Yetkin Ekren, Banu
Mangla, Sachin Kumar
Eroglu Turhanlar, Ecem
Kazancoglu, Yigit
Li, Guo
Keywords: Lateral-inventory
Industry 4.0
e-Grocery
B2B
Sustainable food supply chain network
Food waste
Issue Date: Jun-2021
Publisher: Computers and Operations Research, Elsevier, UK
Citation: Ekren, 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.
Abstract: This 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.
URI: http://hdl.handle.net/10739/4587
Appears in Collections:JGU Research Publications

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