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dc.contributor.authorAndol, Eugenia Ama
dc.contributor.authorYu, Hao
dc.date.accessioned2022-08-23T06:35:46Z
dc.date.available2022-08-23T06:35:46Z
dc.date.issued2022-08-21
dc.description.abstractThe COVID-19 pandemic has become a global health and humanitarian crisis that catastrophically affects many industries. To control the disease spread and restore normal lives, mass vaccination is considered the most effective way. However, the sustainable last-mile cold chain logistics operations of COVID-19 vaccines is a complex short-term planning problem that faces many practical challenges, e.g., low-temperature storage and transportation, supply uncertainty at the early stage, etc. To tackle these challenges, a two-stage decision-support approach is proposed in this paper, which integrates both route optimization and advanced simulation to improve the sustainable performance of last-mile vaccine cold chain logistics operations. Through a real-world case study in Norway during December 2020 and March 2021, the analytical results revealed that the logistics network structure, fleet size, and the composition of heterogeneous vehicles might yield significant impacts on the service level, transportation cost, and CO<sub>2</sub> emissions of last-mile vaccine cold chain logistics operations.en_US
dc.identifier.citationAndol EA, Yu H. A Two-Stage Decision-Support Approach for Improving Sustainable Last-Mile Cold Chain Logistics Operations of COVID-19 Vaccines. Annals of Operations Research. 2022en_US
dc.identifier.cristinIDFRIDAID 2043371
dc.identifier.doi10.1007/s10479-022-04906-x
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.urihttps://hdl.handle.net/10037/26334
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.journalAnnals of Operations Research
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.subjectVDP::Teknologi: 500::Industri- og produktdesign: 640en_US
dc.subjectVDP::Technology: 500::Industrial and product design: 640en_US
dc.subjectIndustrial engineering / Industrial engineeringen_US
dc.titleA Two-Stage Decision-Support Approach for Improving Sustainable Last-Mile Cold Chain Logistics Operations of COVID-19 Vaccinesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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