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Article: Optimization of vehicle speed for batches to minimize supply chain cost under uncertain demand

TitleOptimization of vehicle speed for batches to minimize supply chain cost under uncertain demand
Authors
KeywordsVariable speed
Batch-ordering policies
Continuous-stage supply chain
CO2 emission
Issue Date2020
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/ins
Citation
Information Sciences, 2020, v. 515, p. 26-43 How to Cite?
AbstractOptimization of vehicle speed during transportation has been an essential concern since it leads to reduction in carbon emission which decreases negative consequences on environment. This paper optimizes the vehicle speed for batches being shipped to customers to minimize the supply chain cost under uncertain demand and to reduce the carbon emissions. The problem of regulating the speed at each stage is disintegrated into a set of subproblems. They can be easily dealt with first approximating by dynamic programming formulation. Then a set of differential equations associated with total costs can be obtained from the formulation and solved. Furthermore, a numerical case study related to truck transportation is provided to realize the advantages of varying speed policy over fixed speed policy.
Persistent Identifierhttp://hdl.handle.net/10722/287375
ISSN
2020 Impact Factor: 6.795
2020 SCImago Journal Rankings: 1.524
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMandal, J-
dc.contributor.authorGoswami, A-
dc.contributor.authorWang, J-
dc.contributor.authorTiwari, MK-
dc.date.accessioned2020-09-22T03:00:07Z-
dc.date.available2020-09-22T03:00:07Z-
dc.date.issued2020-
dc.identifier.citationInformation Sciences, 2020, v. 515, p. 26-43-
dc.identifier.issn0020-0255-
dc.identifier.urihttp://hdl.handle.net/10722/287375-
dc.description.abstractOptimization of vehicle speed during transportation has been an essential concern since it leads to reduction in carbon emission which decreases negative consequences on environment. This paper optimizes the vehicle speed for batches being shipped to customers to minimize the supply chain cost under uncertain demand and to reduce the carbon emissions. The problem of regulating the speed at each stage is disintegrated into a set of subproblems. They can be easily dealt with first approximating by dynamic programming formulation. Then a set of differential equations associated with total costs can be obtained from the formulation and solved. Furthermore, a numerical case study related to truck transportation is provided to realize the advantages of varying speed policy over fixed speed policy.-
dc.languageeng-
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/ins-
dc.relation.ispartofInformation Sciences-
dc.subjectVariable speed-
dc.subjectBatch-ordering policies-
dc.subjectContinuous-stage supply chain-
dc.subjectCO2 emission-
dc.titleOptimization of vehicle speed for batches to minimize supply chain cost under uncertain demand-
dc.typeArticle-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ins.2019.12.009-
dc.identifier.scopuseid_2-s2.0-85076253197-
dc.identifier.hkuros314569-
dc.identifier.volume515-
dc.identifier.spage26-
dc.identifier.epage43-
dc.identifier.isiWOS:000513293200002-
dc.publisher.placeUnited States-
dc.identifier.issnl0020-0255-

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