TY - JOUR
T1 - A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach
AU - Liaqait, Raja Awais
AU - Warsi, Salman Sagheer
AU - Agha, Mujtaba Hassan
AU - Zahid, Taiba
AU - Becker, Till
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021/4/5
Y1 - 2021/4/5
N2 - 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.
AB - 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.
KW - decision support framework
KW - fuzzy multi-criteria decision making
KW - multi-objective optimization
KW - supplier selection
KW - Sustainable supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85103555246&partnerID=8YFLogxK
U2 - 10.1080/0305215X.2021.1901898
DO - 10.1080/0305215X.2021.1901898
M3 - Article
AN - SCOPUS:85103555246
SN - 0305-215X
VL - 54
SP - 928
EP - 948
JO - Engineering Optimization
JF - Engineering Optimization
IS - 6
ER -