Integrating lean, resilient, and sustainable practices in supply chain network: mathematical modelling and the AUGMECON2 approach

Abstract

Nowadays, organisations try to find a proper method to increase their competitiveness. Lean, resilient, and sustainable are top-hole managerial practices in supply chain management. This paper tries to study the effects of integrating lean, resilient, and sustainable practices in the supply chain network (SCN). To this end, a new multi-objective mixed-integer programming is developed in such a way that lean manufacturing is implemented in a resilient-sustainable SCN. The objective functions try to maximise job opportunities and minimise costs, environmental effects, and delivery time. Resilience has been taken into account to tackle the lack of raw materials during disruptions by implementing multiple sourcing in the model. Besides, to devote more attention to sustainable practices, backup suppliers have been prioritised based on sustainability criteria. The academics were enquired to rate sustainability criteria for selecting a backup supplier. Finally, a fuzzy TOPSIS method was used to rank the backup suppliers based on sustainability criteria. The improved version of augmented ϵ-constraint (AUGMECON2) was applied to cope with multi-objectivity of the problem. The results indicated a synergistic effect among leanness, resilience, and sustainability in the supply chain. Also, it turned out that sustainable backup supplier selection boosts the synergistic effect among these three concepts.

KEYWORDS:

• Lean supply chain
• resilience
• sustainability
• stochastic programming
• supplier selection
• ε-constraint method

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Mohammad Shafiee

Mohammad Shafiee is a Master's student in Industrial Engineering at Yazd University. His research interests include Supply Chain Management, Operations Research, and Decision Theory. He has published papers in international journals, including Journal of Cleaner Production and International Journal of Supply and Operations Management (IJSOM).

Yahia Zare Mehrjerdi

Yahia Zare Mehrjerdi is a Professor in Industrial Engineering at Yazd University. His main research interests are in the area of System Sustainability, Health System Engineering, Decision Theory, and Economic Analysis. He has published several papers in several international journals, such as Journal of Cleaner Production, Applied Soft Computing, European Journal of Operational Research, Computational and Applied Mathematics, and Assembly Automation.

Marzieh Keshavarz

Marzieh Keshavarz is a Ph.D. student in Industrial Engineering at Yazd University. She earned her M.Sc. degree in Industrial Engineering from Kharazmi University. Her research interests include Supply Chain Management, Operations Research, Inventory Management. She has published papers in international journals, including International Journal of Logistics Systems and Management and International Journal of Mathematics in Operational Research.