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A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain

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dc.contributor.author Ghadimi, Pezhman
dc.contributor.author Ghassemi Toosi, Farshad
dc.contributor.author Heavey, Cathal
dc.date.accessioned 2018-05-04T10:41:42Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/10344/6815
dc.description peer-reviewed en_US
dc.description.abstract Recently, incorporating sustainability into the buyer-supplier sourcing decisions has achieved a considerable amount of attentions among researchers and industrial enterprises who are attempting to move towards sustainable production. Moreover, by investigating further in the buyer-supplier relationships, the literature suggests that proper communication and structured information exchange are important components in establishing a long-term partnership and maintaining such a relationship. Toward this end, a Multi-Agent Systems (MASs) approach is proposed as a mean of automating and facilitating the process of sustainable supplier selection and order allocation (SSS&OA) resulting in a more co-operative partnership. This research shows that financial performance of manufacturing companies adopting environmental and social sustainability in their operations strategy enhanced their competitive advantage that can lead to long-term sourcing relationships for the buyer-supplier dyad. Additionally, it was also shown that applying MASs to the SSS&OA problem can be utilized as an approach to facilitate communications and automate information exchange processes in Supply Chains (SCs) where suppliers and manufacturer are looking to maintain a long-term SC partnership. The applicability of the developed MAS approach and its incorporated sustainable supplier evaluation and order allocation models is demonstrated using an adopted practical scenario from an industrial case study operating in the electronics sector in medical device industry. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation info:eu-repo/grantAgreement/EC/FP7/285171 en_US
dc.relation.ispartofseries European Journal of Operational Research;269 (1), pp. 286-301
dc.relation.uri https://doi.org/10.1016/j.ejor.2017.07.014
dc.rights This is the author’s version of a work that was accepted for publication in European Journal of Operational Research . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 2018 269 (1), pp. 286-301, https://doi.org/10.1016/j.ejor.2017.07.014 en_US
dc.subject multi-agent systems en_US
dc.subject supply chain management en_US
dc.subject sustainability en_US
dc.subject sustainable supplier selection en_US
dc.subject order allocation en_US
dc.title A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.ejor.2017.07.014
dc.contributor.sponsor ERC en_US
dc.relation.projectid 285171 en_US
dc.date.embargoEndDate 2019-07-08
dc.embargo.terms 2019-07-08 en_US
dc.rights.accessrights info:eu-repo/semantics/embargoedAccess en_US


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