Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106002
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Qian, X | en_US |
dc.creator | Chan, FTS | en_US |
dc.creator | Yin, M | en_US |
dc.creator | Zhang, Q | en_US |
dc.creator | Huang, M | en_US |
dc.creator | Fu, X | en_US |
dc.date.accessioned | 2024-04-24T02:01:52Z | - |
dc.date.available | 2024-04-24T02:01:52Z | - |
dc.identifier.issn | 0360-8352 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106002 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2020 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | This is the preprint version of the following article: Qian, X., Chan, F. T., Yin, M., Zhang, Q., Huang, M., & Fu, X. (2020). A two-stage stochastic winner determination model integrating a hybrid mitigation strategy for transportation service procurement auctions. Computers & Industrial Engineering, 149, 106703, which is available at https://doi.org/10.1016/j.cie.2020.106703. | en_US |
dc.subject | Combinatorial reverse auction | en_US |
dc.subject | Disruption risks | en_US |
dc.subject | Mitigation strategy | en_US |
dc.subject | Transportation service procurement | en_US |
dc.subject | Winner determination | en_US |
dc.title | A two-stage stochastic winner determination model integrating a hybrid mitigation strategy for transportation service procurement auctions | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 149 | en_US |
dc.identifier.doi | 10.1016/j.cie.2020.106703 | en_US |
dcterms.abstract | Disruption is one of the important and challenging factors in transportation service procurement auctions. Existing winner determination models tend to ignore bidders’ disruption risks and its dire consequences. This paper particularly studies a revised winner determination problem with disruption risks of bidders for a fourth party logistics (4PL) provider to purchase transportation services via combinatorial reverse auctions. Integrating a hybrid mitigation strategy that includes fortification, reservation and outside option policies to deal with disruptions, a new two-stage stochastic winner determination model is constructed. Based on the characteristics of the deterministic equivalent reformulation, a scenario-based approximation approach is developed as solution method. An upper bound can be obtained by using a scenario reduction approach, and a lower bound can be derived by employing a problem-based relaxation method or an efficient dual decomposition Lagrangian relaxation approach. Numerical experiments are conducted to illustrate the effectiveness and applicability of the proposed model and method, since the gap between the upper bound and lower bound is small. Comparison analysis indicates that our strategy is better than some known strategies, and would have a more significant influence on cost minimization of the 4PL as the probability of disruption becomes higher. Managerial implications are drawn for 4PLs to provide high quality of transportation services under disruptions. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Computers and industrial engineering, Nov. 2020, v. 149, 106703 | en_US |
dcterms.isPartOf | Computers and industrial engineering | en_US |
dcterms.issued | 2020-11 | - |
dc.identifier.scopus | 2-s2.0-85090305984 | - |
dc.identifier.eissn | 1879-0550 | en_US |
dc.identifier.artn | 106703 | en_US |
dc.description.validate | 202404 bcwh | en_US |
dc.description.oa | Author’s Original | en_US |
dc.identifier.FolderNumber | ISE-0240 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; the Program for Liaoning Innovative Talents in University; the Fundamental Research Funds for State Key Laboratory of Synthetical Automation for Process Industries; Natural Science Foundation of SZU | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 51720472 | - |
dc.description.oaCategory | Green (AO) | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Chan_Two-Stage_Stochastic_Winner.pdf | Preprint version | 260.7 kB | Adobe PDF | View/Open |
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