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

Raja Awais Liaqait*, Salman Sagheer Warsi, Mujtaba Hassan Agha, Taiba Zahid, Till Becker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)928-948
Number of pages21
JournalEngineering Optimization
Volume54
Issue number6
DOIs
Publication statusPublished - 5 Apr 2021
Externally publishedYes

Keywords

  • decision support framework
  • fuzzy multi-criteria decision making
  • multi-objective optimization
  • supplier selection
  • Sustainable supply chain management

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