Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110365
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorTan, BQ-
dc.creatorYu, CL-
dc.creatorKang, K-
dc.creatorZhong, RY-
dc.creatorLi, M-
dc.creatorHuang, GQ-
dc.date.accessioned2024-12-03T03:34:10Z-
dc.date.available2024-12-03T03:34:10Z-
dc.identifier.issn1474-6670-
dc.identifier.urihttp://hdl.handle.net/10397/110365-
dc.description3rd Modeling, Estimation and Control Conference MECC 2023: Lake Tahoe, USA, October 2-5, 2023en_US
dc.language.isoenen_US
dc.publisherIFAC Secretariaten_US
dc.rightsCopyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.rightsThe following publication Tan, B. Q., Yu, C., Kang, K., Zhong, R. Y., Li, M., & Huang, G. Q. (2023). Transportation Service Procurement Auctions in Cyber-Physical Internet. IFAC-PapersOnLine, 56(2), 7626-7631 is available at https://dx.doi.org/10.1016/j.ifacol.2023.10.1160.en_US
dc.subjectCyber-Physical Interneten_US
dc.subjectTransportation service procurementen_US
dc.subjectRouteren_US
dc.subjectRouting tableen_US
dc.subjectAuctionsen_US
dc.titleTransportation service procurement auctions in cyber-physical interneten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage7626-
dc.identifier.epage7631-
dc.identifier.volume56-
dc.identifier.issue2-
dc.identifier.doi10.1016/j.ifacol.2023.10.1160-
dcterms.abstractThis study is the first to propose auction models for transportation service procurement (TSP) in Cyber-Physical Internet ( CPI). In the TSP problem, shippers are the service buyers who generate a large number of orders, and carriers are the service sellers who can deliver these orders. CPI is a novel concept aiming to completely alter freight transportation to develop a new generation of global logistics network (GLN). The introduction of CPI prompts the rethinking of several TSP basic issues, such as route planning, service mode selection, and real-time pricing based on spatial-temporal information sharing in CPI. Therefore, we first detail two key components of CPI, i.e., the router and the routing table and then describe the GLN in CPI through a typical example. We further establish a one-sided Vickrey-Clarke-Groves (O-VCG) online reverse auction mechanism to maximize social welfare. This auction mechanism is built to make decisions according to multidimensional information provided by the routing table about the transport services. Moreover, we further analyze the four important attributes of the auction mechanism, including allocative efficiency, incentive compatibility, individual rationality and budget balance. We finally conclude with critical challenges and future research directions, including potential TSP auctions in CPI and the applicability of the underlying model to general logistics systems based on spatial- temporal considerations.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIFAC-PapersOnLine, 2023, v. 56, no. 2, p. 7626-7631-
dcterms.isPartOfIFAC-PapersOnLine-
dcterms.issued2023-
dc.identifier.isiWOS:001122557300219-
dc.relation.conferenceModeling, Estimation and Control Conference [MECC]-
dc.identifier.eissn2405-8963-
dc.description.validate202412 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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