Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks

dc.contributor.author Banu Yetkin Yetkin Ekren
dc.contributor.author Sachin Kumar Kumar Mangla
dc.contributor.author Ecem Eroğlu Turhanlar
dc.contributor.author Yigit Kazancoglu
dc.contributor.author Guo Li
dc.contributor.author Turhanlar, Ecem Eroglu
dc.contributor.author Li, Guo
dc.contributor.author Mangla, Sachin Kumar
dc.contributor.author Kazancoglu, Yigit
dc.contributor.author Ekren, Banu Yetkin
dc.date.accessioned 2025-10-06T17:50:31Z
dc.date.issued 2021
dc.description.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 (sS) 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. © 2021 Elsevier B.V. All rights reserved.
dc.description.sponsorship The authors sincerely thank the editors and anonymous reviewers for their constructive comments and suggestions. This research is partially supported by the National Natural Science Foundation of China under the grant nos. 71971027, 91746110 and 71521002; National Key Research and Development Project of China under the grant no. 2018YFB1701802; Beijing Philosophy and Social Science Foundation under the grant no.19JDGLB017; the Special Items Fund of Beijing Municipal Commission of Education.
dc.description.sponsorship Special Items Fund of Beijing Municipal Commission of Education; National Natural Science Foundation of China, NSFC, (71521002, 71971027, 91746110); National Natural Science Foundation of China, NSFC; National Key Research and Development Program of China, NKRDPC, (2018YFB1701802); National Key Research and Development Program of China, NKRDPC; Beijing Municipal Office of Philosophy and Social Science Planning, (19JDGLB017); Beijing Municipal Office of Philosophy and Social Science Planning
dc.description.sponsorship National Natural Science Foundation of China [71971027, 91746110, 71521002]; National Key Research and Development Project of China [2018YFB1701802]; Beijing Philosophy and Social Science Foundation [19JDGLB017]; Special Items Fund of Beijing Municipal Commission of Education
dc.identifier.doi 10.1016/j.cor.2021.105237
dc.identifier.issn 03050548
dc.identifier.issn 0305-0548
dc.identifier.issn 1873-765X
dc.identifier.scopus 2-s2.0-85101343397
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101343397&doi=10.1016%2Fj.cor.2021.105237&partnerID=40&md5=9eecb3120c4a984231643d923ff6551a
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8970
dc.identifier.uri https://doi.org/10.1016/j.cor.2021.105237
dc.language.iso English
dc.publisher Elsevier Ltd
dc.relation.ispartof Computers & Operations Research
dc.rights info:eu-repo/semantics/closedAccess
dc.source Computers and Operations Research
dc.subject B2b, E-grocery, Food Waste, Industry 4.0, Lateral-inventory, Sustainable Food Supply Chain Network, Disasters, Electronic Commerce, Food Supply, Food Waste, Supply Chains, Business Models, Business To Business, Customer Orders, Internet Of Things (iot), Inventory Levels, Natural Disasters, Simulation Optimization, Strategic Alliance, Internet Of Things
dc.subject Disasters, Electronic commerce, Food supply, Food waste, Supply chains, Business models, Business to business, Customer orders, Internet of Things (IOT), Inventory levels, Natural disasters, Simulation optimization, Strategic alliance, Internet of things
dc.subject Sustainable Food Supply Chain Network
dc.subject B2B
dc.subject E-grocery
dc.subject Lateral-inventory
dc.subject Food Waste
dc.subject Industry 4.0
dc.title Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks
dc.type Article
dspace.entity.type Publication
gdc.author.id Yetkin Ekren, Banu/0009-0009-4228-7795
gdc.author.id Kazancoglu, Yigit/0000-0001-9199-671X
gdc.author.id Li, Guo/0000-0002-7127-1102
gdc.author.scopusid 57222089638
gdc.author.scopusid 7407055832
gdc.author.scopusid 23488489800
gdc.author.scopusid 15848066400
gdc.author.scopusid 55735821600
gdc.author.wosid Li, Guo/ACY-6481-2022
gdc.author.wosid Mangla, Sachin/B-7605-2017
gdc.author.wosid Kazancoglu, Yigit/E-7705-2015
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gdc.description.department
gdc.description.departmenttemp [Ekren, Banu Yetkin; Turhanlar, Ecem Eroglu] Yasar Univ, Dept Ind Engn, Bornova, Turkey; [Mangla, Sachin Kumar] OP Jindal Univ, Jindal Global Business Sch, Sonipat, India; [Mangla, Sachin Kumar] Univ Plymouth, Plymouth Business Sch, Plymouth, Devon, England; [Kazancoglu, Yigit] Yasar Univ, Dept Int Logist Management, Bornova, Turkey; [Li, Guo] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China; [Li, Guo] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing, Peoples R China; [Li, Guo] Sustainable Dev Res Inst Econ & Soc Beijing, Beijing, Peoples R China
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 105237
gdc.description.volume 130
gdc.description.woscitationindex Science Citation Index Expanded - Social Science Citation Index
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gdc.oaire.keywords e-grocery
gdc.oaire.keywords Inventory, storage, reservoirs
gdc.oaire.keywords Industry 4.0
gdc.oaire.keywords B2B
gdc.oaire.keywords food waste
gdc.oaire.keywords lateral-inventory
gdc.oaire.keywords sustainable food supply chain network
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gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0502 economics and business
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gdc.opencitations.count 59
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gdc.scopus.citedcount 66
gdc.virtual.author Yetkin Ekren, Banu
gdc.virtual.author Kazançoğlu, Yiğit
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person.identifier.scopus-author-id Yetkin Ekren- Banu Yetkin (23488489800), Kumar Mangla- Sachin Kumar (55735821600), Turhanlar- Ecem Eroğlu (57222089638), Kazancoglu- Yigit (15848066400), Li- Guo (7407055832)
project.funder.name The authors sincerely thank the editors and anonymous reviewers for their constructive comments and suggestions. This research is partially supported by the National Natural Science Foundation of China under the grant nos. 71971027 91746110 and 71521002, National Key Research and Development Project of China under the grant no. 2018YFB1701802, Beijing Philosophy and Social Science Foundation under the grant no.19JDGLB017, the Special Items Fund of Beijing Municipal Commission of Education.
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