A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem

Maria Drakaki, Hacer Gören, Panagiotis Tzionas

2019

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.

Paper Citation

in Harvard Style

Drakaki M., Gören H. and Tzionas P. (2019). A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem.In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: LogiTrans 4.0, ISBN 978-989-758-374-2, pages 621-628. DOI: 10.5220/0007833306210628

in Bibtex Style

@conference{logitrans 4.019,
author={Maria Drakaki and Hacer Gören and Panagiotis Tzionas},
title={A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: LogiTrans 4.0,},
year={2019},
pages={621-628},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007833306210628},
isbn={978-989-758-374-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: LogiTrans 4.0,
TI - A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem
SN - 978-989-758-374-2
AU - Drakaki M.
AU - Gören H.
AU - Tzionas P.
PY - 2019
SP - 621
EP - 628
DO - 10.5220/0007833306210628