A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach. Issue 6 (3rd June 2022)

• Record Type: Journal Article
• Authors: Liaqait, Raja Awais; Warsi, Salman Sagheer; Agha, Mujtaba Hassan; Zahid, Taiba; Becker, Till
• Is Part Of: Engineering optimization. Volume 54:Issue 6(2022)
• Page Start: 928
• Page End: 948
• Publication Date: 2022-06-03
• Subjects: Sustainable supply chain management -- supplier selection -- multi-objective optimization -- fuzzy multi-criteria decision making -- decision support framework; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2021.1901898
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: 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. GRAPHICAL ABSTRACT: UF0001