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dc.contributor.authorSrivatsa Srinivas S.
dc.contributor.authorMarathe R.R.
dc.date.accessioned2022-02-11T10:13:58Z
dc.date.available2022-02-11T10:13:58Z
dc.date.issued2021
dc.identifier.citationSrivatsa Srinivas, S., & Marathe, R. R. (2021). Moving towards 搈obile warehouse� Last-mile logistics during COVID-19 and beyond. Transportation Research Interdisciplinary Perspectives, 10. https://doi.org/10.1016/j.trip.2021.100339
dc.identifier.issn25901982
dc.identifier.urihttps://www.doi.org/10.1016/j.trip.2021.100339
dc.identifier.urihttp://hdl.handle.net/11718/25215
dc.description.abstractSupply chains in general and last-mile logistics in particular, have been disrupted due to COVID-19. Though several innovative last-mile logistics solutions have been proposed in the past, they possess certain limitations, especially during COVID-19 motivating the need for an alternative last-mile logistics solution. We present a review of literature related to last-mile logistics and supply chain disruptions to identify the limitations of existing last-mile delivery practices during COVID-19. Using a stylized analytical model, we then propose that "mobile warehouse" can be an effective solution to last-mile logistics issues faced during COVID-19 and beyond under certain conditions. A mobile warehouse is a truck dedicated to a particular geographical location and carries the inventory of various products based on the estimated demand requirements for these products in that geographical location. We provide the condition under which the B2C e-commerce providers find it profitable to adopt a truck as a mobile warehouse to sell high demand items quickly. � 2021 The Authors
dc.language.isoen_US
dc.publisherElsevier Ltd
dc.relation.ispartofTransportation Research Interdisciplinary Perspectives
dc.subjectCOVID-19
dc.subjectE-commerce
dc.subjectInnovation
dc.subjectLast-mile logistics
dc.subjectMobile warehouse
dc.subjectSupply chain management
dc.titleMoving towards "mobile warehouse": Last-mile logistics during COVID-19 and beyond
dc.typeArticle
dc.contributor.affiliationProduction & Quantitative Methods Area, Indian Institute of Management Ahmedabad, Ahmedabad, Gujarat, India
dc.contributor.affiliationDepartment of Management Studies, Indian Institute of Technology Madras, Chennai, 600036, India
dc.contributor.institutionauthorSrivatsa Srinivas, S., Production & Quantitative Methods Area, Indian Institute of Management Ahmedabad, Ahmedabad, Gujarat, India
dc.contributor.institutionauthorMarathe, R.R., Department of Management Studies, Indian Institute of Technology Madras, Chennai, 600036, India
dc.description.scopusid56816990200
dc.description.scopusid8519236300
dc.identifier.doi10.1016/j.trip.2021.100339
dc.identifier.volume10


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