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...

Full description

Saved in:
Bibliographic Details
Published in:Engineering optimization Vol. 54; no. 6; pp. 928 - 948
Main Authors: Liaqait, Raja Awais, Warsi, Salman Sagheer, Agha, Mujtaba Hassan, Zahid, Taiba, Becker, Till
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 03.06.2022
Taylor & Francis Ltd
Subjects:
ISSN:0305-215X, 1029-0273
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0305-215X
1029-0273
DOI:10.1080/0305215X.2021.1901898