A multi-objective optimization approach for green and resilient supply chain network design: A real-life case study

Aliakbar Hasani*, Hadi Mokhtari, Mohammad Fattahi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

This study presents a robust multi-objective optimization model to configure a green global supply chain network structure under disruption. The proposed model is adapted to a global medical device manufacturing system. Economic and environmental issues are considered in designing the network, and mitigation strategies are employed to obtain a resilient supply chain network. To deal with the computational tractability of this non-linear and multi-objective optimization problem, a novel hybrid heuristic is developed that incorporates improved strength Pareto evolutionary algorithm 2 (SPEA2). Computational results indicate that the proposed global supply chain network configuration can respond to its global customers’ demand in agile as well as green manner. Based on our results, the importance of the SC agility is highlighted by increasing the budget of uncertainty, and some of well-known mitigation strategies are in contradiction to the agile production paradigm.

Original languageEnglish
Article number123199
Number of pages26
JournalJournal of Cleaner Production
Volume278
Early online date30 Aug 2020
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes

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