Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions
Pages 1353 - 1372
Abstract
The traditional partner selection in reverse logistics focuses on selecting recyclers for remanufacturers, but neglects the selection of remanufactures for recyclers and the mutual matching of the two parties. This is not conducive to forming a sustainable service chain and providing collaborative remanufacturing service solutions for users. In this work, a multi-attribute bilateral matching framework is proposed in accordance with the collaboration between recycling and remanufacturing services. Given the interdependence among service matching attributes and the psychological behavior of decision makers under vague matching surroundings, an integrated methodology is developed to determine service matching satisfaction, which incorporates grey theory, Best–Worst Method, Decision Making Trial and Evaluation Laboratory and an acronym in Portuguese of Interactive and Multi-Criteria Decision Making. On this basis, a collaboration-oriented bilateral matching model concerning recycling and remanufacturing services is constructed with the objectives of maximizing matching satisfaction of remanufacturers and recyclers, as well as achieving service synergy effect. Afterwards, linear weighting method is used to solve the model, and thus the optimal service matching scheme is obtained. The results of the present work provide some references for the optimal allocation of service resources and the transition from traditional remanufacturing into collaborative remanufacturing service.
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© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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Publication History
Published: 06 April 2023
Accepted: 08 March 2023
Received: 07 June 2022
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