A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach

With the growing social and environmental concerns, the integration of sustainability in supplier selection and order allocation is of paramount importance. This research presents a holistic multi-phase decision-support framework to solve the sustainable supplier selection and order allocation probl...

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Veröffentlicht in:Engineering optimization Jg. 54; H. 6; S. 928 - 948
Hauptverfasser: Liaqait, Raja Awais, Warsi, Salman Sagheer, Agha, Mujtaba Hassan, Zahid, Taiba, Becker, Till
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 03.06.2022
Taylor & Francis Ltd
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ISSN:0305-215X, 1029-0273
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Zusammenfassung:With the growing social and environmental concerns, the integration of sustainability in supplier selection and order allocation is of paramount importance. This research presents a holistic multi-phase decision-support framework to solve the sustainable supplier selection and order allocation problem for the multi-echelon supply chain. The framework comprises a multi-objective mixed-integer nonlinear programming mathematical model augmented with fuzzy multi-criteria decision making techniques and forecast demand. The various economic, environmental and social objectives were optimized for a multi-modal transportation network of a multi-echelon supply chain. The results of the mathematical model highlighted the impact of multi-modal transportation on the total cost and total travel time. The results also demonstrated the relationship between the multi-modal transport network and the environmental impact of the supply chain. The proposed multi-phase holistic decision support framework can be used in the comprehensive sustainability-based analysis of supply chains.
Bibliographie:ObjectType-Article-1
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ISSN:0305-215X
1029-0273
DOI:10.1080/0305215X.2021.1901898