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https://hdl.handle.net/11499/30445
Title: | A multi-agent based decision framework for sustainable supplier selection, order allocation and routing problem | Authors: | Drakaki, M. Gören, Hacer Gören Tzionas, P. |
Keywords: | Multi-Agent System Order Allocation Supplier Selection Sustainability Vehicle Routing Web Services Decision making Decision support systems Industry 4.0 Intelligent agents Intelligent systems Intelligent vehicle highway systems International trade Multiobjective optimization Supply chain management Sustainable development Traffic control Vehicle routing Vehicles Web services Websites Business process execution Decision framework Fuzzy multi-criteria decision makings Inter-relationships Multiobjective programming Order allocation Supplier selection Sustainable supplier selections Multi agent systems |
Publisher: | SciTePress | Abstract: | Supply chain decisions should aim for sustainability, in order to meet the global market needs, as well as the Industry 4.0 requirements, therefore they should consider beyond economic and environmental, societal dimensions as well. The complexity in decision making increases, moreover, supply network relationships become important, including inter-relationships and those developed with the suppliers. Agent technology is compatible with Industry 4.0, whereas multi-agent systems (MAS) can provide decision support for supply chain management and model the relatationships and interactions between entities in the supply chain environment. Therefore, in this paper, a MAS-based framework is proposed to address sustainability focused decision making in supplier selection, order allocation and routing. Fuzzy Multi Criteria Decision Making (MCDM) approaches and multi-objective programming are used by the agents in the MAS in order to adress sustainability requirements. Futrhermore, developed agent services for the supply chain business processes are integrated with web services, in order to facilitate business process execution as web services. © 2019 by SCITEPRESS - Science and Technology Publications, Lda. | URI: | https://hdl.handle.net/11499/30445 | ISBN: | 9789897583742 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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