Please use this identifier to cite or link to this item: 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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