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Conference Paper: Supply chain decarbonisation - a cost-based decision support model in slow steaming maritime operations

TitleSupply chain decarbonisation - a cost-based decision support model in slow steaming maritime operations
Authors
KeywordsSlow steaming
Carbon emission
Maritime logistics
Sustainability
Green supply chain
Issue Date2014
PublisherWorld Academy of Science, Engineering and Technology. The Journal's web site is located at https://www.waset.org/journal/Social
Citation
XI International Conference on Supply Chain and Logistics Management (ICSCLM 2014), Dubai, UAE, 12-13 March 2014. In International Journal of Social, Management, Economics and Business Engineering, 2014, v. 8 n. 3, p. 653-656 How to Cite?
AbstractCO2 emissions from maritime transport operations represent a substantial part of the total greenhouse gas emission. Vessels are designed with better energy efficiency. Minimizing CO2 emission in maritime operations plays an important role in supply chain decarbonisation. This paper reviews the initiatives on slow steaming operations towards the reduction of carbon emission. It investigates the relationship and impact among slow steaming cost reduction, carbon emission reduction, and shipment delay. A scenario-based cost-driven decision support model is developed to facilitate the selection of the optimal slow steaming options, considering the cost on bunker fuel consumption, available speed, carbon emission, and shipment delay. The incorporation of the social cost of cargo is reviewed and suggested. Additional measures on the effect of vessels sizes, routing, and type of fuels towards decarbonisation are discussed.
Persistent Identifierhttp://hdl.handle.net/10722/199105
ISSN

 

DC FieldValueLanguage
dc.contributor.authorWong, EYCen_US
dc.contributor.authorLau, HYKen_US
dc.contributor.authorRaman, M-
dc.date.accessioned2014-07-22T01:03:18Z-
dc.date.available2014-07-22T01:03:18Z-
dc.date.issued2014en_US
dc.identifier.citationXI International Conference on Supply Chain and Logistics Management (ICSCLM 2014), Dubai, UAE, 12-13 March 2014. In International Journal of Social, Management, Economics and Business Engineering, 2014, v. 8 n. 3, p. 653-656en_US
dc.identifier.issn1307-6892-
dc.identifier.urihttp://hdl.handle.net/10722/199105-
dc.description.abstractCO2 emissions from maritime transport operations represent a substantial part of the total greenhouse gas emission. Vessels are designed with better energy efficiency. Minimizing CO2 emission in maritime operations plays an important role in supply chain decarbonisation. This paper reviews the initiatives on slow steaming operations towards the reduction of carbon emission. It investigates the relationship and impact among slow steaming cost reduction, carbon emission reduction, and shipment delay. A scenario-based cost-driven decision support model is developed to facilitate the selection of the optimal slow steaming options, considering the cost on bunker fuel consumption, available speed, carbon emission, and shipment delay. The incorporation of the social cost of cargo is reviewed and suggested. Additional measures on the effect of vessels sizes, routing, and type of fuels towards decarbonisation are discussed.-
dc.languageengen_US
dc.publisherWorld Academy of Science, Engineering and Technology. The Journal's web site is located at https://www.waset.org/journal/Social-
dc.relation.ispartofInternational Journal of Social, Management, Economics and Business Engineeringen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectSlow steaming-
dc.subjectCarbon emission-
dc.subjectMaritime logistics-
dc.subjectSustainability-
dc.subjectGreen supply chain-
dc.titleSupply chain decarbonisation - a cost-based decision support model in slow steaming maritime operationsen_US
dc.typeConference_Paperen_US
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hken_US
dc.identifier.authorityLau, HYK=rp00137en_US
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros230830en_US
dc.identifier.hkuros230846-
dc.identifier.hkuros245534-
dc.identifier.volume8en_US
dc.identifier.issue3-
dc.identifier.spage653en_US
dc.identifier.epage656en_US
dc.publisher.placeConference_Paper-

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