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An agent-based collaborative model for supply chain Management simulation

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dc.contributor.authorVieira, C.M.
dc.contributor.authorBarbosa-Póvoa, A.P.
dc.contributor.authorMartinho, C.
dc.date.accessioned2025-11-07T10:56:41Z
dc.date.available2025-11-07T10:56:41Z
dc.date.issued2012
dc.description.abstractIn traditional supply chain (SC), planning problems are usually considered individually at each SC entity. However, such decisions often influence the other members in the chain and thus an integrated approach should be considered. By modelling system-wide SC networks, different SC problems, like production planning, coordination, order distribution, among others, can be integrated and solved simultaneously so that the solution is beneficial to all entities in a longterm base. In an attempt to make progress in this area, researchers use various methods for modelling the dynamics of SCs. In the literature review, due to their distinctive characteristics, multi-agent-based systems have emerged as one of the most adequate modelling tools for tackling various aspects of SC problems. In this work, a multi-agent supply chain system (MASCS) model that integrates different SC processes is presented. The proposed model allows modelling different SCs with multi-products and different operational policies considering information asymmetry and distributed/decentralized mode of control. In this article the details of the MASCS model development and implementation are presented. Furthermore, the applicability of the proposed MASCS is briefly demonstrated through the solution of a SC example. The obtained results are discussed and research extensions are outlined.eng
dc.identifier.citationVieira, C., Barbosa-Póvoa, A. P. F., & Martinho, C. (2012). An Agent-Based Collaborative Model For Supply Chain Management Simulation. In ECMS (pp. 318-324).
dc.identifier.isbn978-0-9564944-4-3
dc.identifier.isbn978-0-9564944-5-0
dc.identifier.urihttp://hdl.handle.net/10400.8/14555
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherECMS Klaus G. Troitzsch, Michael Möhring, Ulf Lotzmann (Editors)
dc.rights.uriN/A
dc.subjectSupply Chain Management
dc.subjectMulti-Agent System
dc.subjectSimulation
dc.titleAn agent-based collaborative model for supply chain Management simulationeng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage324
oaire.citation.startPage318
oaire.citation.titleProceedings - 26th European Conference on Modelling and Simulation, ECMS 2012
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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