Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110410
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorNg, CLen_US
dc.creatorWu, Hen_US
dc.creatorLi, Men_US
dc.creatorZhong, RYen_US
dc.creatorQu, Xen_US
dc.creatorHuang, GQen_US
dc.date.accessioned2024-12-11T06:26:22Z-
dc.date.available2024-12-11T06:26:22Z-
dc.identifier.isbn979-8-3503-5851-3 (Electronic)en_US
dc.identifier.isbn979-8-3503-5852-0 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/110410-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication C. -L. Ng, H. Wu, M. Li, R. Y. Zhong, X. Qu and G. Q. Huang, "A carbon-aware routing protocol for optimizing carbon emissions in modular construction logistics*," 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024, pp. 2852-2856 is available at https://doi.org/10.1109/CASE59546.2024.10711520.en_US
dc.titleA carbon-aware routing protocol for optimizing carbon emissions in modular construction logisticsen_US
dc.typeConference Paperen_US
dc.identifier.spage2852en_US
dc.identifier.epage2856en_US
dc.identifier.doi10.1109/CASE59546.2024.10711520en_US
dcterms.abstractAmidst growing concerns over climate change and the pressing need for industries to reduce their carbon emissions, modular construction is a variable solution that applies in the construction industry. In the quest to manage the multiple actors and reduce carbon emissions in Modular Construction Logistics (MCL), our research proposes a Cyber-Physical Internet (CPI) network framework to introduce an integrated solution for multiple actors. Then, to optimize carbon emissions in MCL, we propose a carbon-aware routing protocol for making routing decisions in the proposed framework. The routing algorithm integrates a unique set of criteria, including module weight, travel distance, and carbon emission factors, in life cycle assessment to provide routing decisions with the lowest carbon emissions. The paper presents a detailed implementation of the algorithm, emphasizing its adaptability to the specific challenges of MCL, such as the optimization of transport routes to minimize environmental impact. Through numerical studies, we demonstrate the efficacy and feasibility of the proposed routing algorithm in reducing carbon emissions, thereby contributing significantly to the sustainability goals of the construction industry. Our findings not only highlight the potential for significant environmental benefits but also pave the way for further innovations in logistics management, aligning with global efforts towards carbon neutrality.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, Italy, 28 August - 1 September 2024, p. 2852-2856en_US
dcterms.issued2024-
dc.relation.ispartofbook2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)en_US
dc.relation.conferenceInternational Conference on Automation Science and Engineering [CASE]en_US
dc.description.validate202412 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera3316-
dc.identifier.SubFormID49917-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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