Abstract
Researchers and practitioners are taking more interest in developing sustainable garment supply chains in recent times. On the other hand, the supply chain manager drops sustainability objectives while coping with unexpected natural and man-made disruption risks. Hence, supply chain managers are now trying to develop sustainable supply chains that are simultaneously resilient enough to cope with disruption risks. Owing to the importance of the considered issue, this study proposed a network optimization model for a sustainable and resilient supply chain network by considering sustainability via embodied carbon footprints and carbon emissions and resilience by considering resilience index. In this paper, initially, a possibilistic fuzzy multi-objective sustainable and resilient supply chain network model is developed for the garment industry considering economic, sustainable, and resilience objectives. Secondly, a possibilistic fuzzy linguistic weight-based interactive solution method is proposed. Finally, a numerical case example is presented to show the applicability of the proposed model and solution methodology.
Highlights
Introduction and Literature ReviewThe textile and garment supply chain involves several environmental issues, including hazardous pollutants and waste management practices
The garment industry is environmentally unfriendly due to hazardous pollutants such as dyeing chemicals and carbon dioxide emissions during production and transportations. These issues are being addressed by compulsory carbon footprint taxes on textile products, sustainability rules and guidelines, International Organization for Standardization (ISO) certification, and emerging trends for corporate social responsibility [1]
Keeping in view the stated problem, this study proposes an integrated sustainable and resilient supply chain network considering disruption risks
Summary
The textile and garment supply chain involves several environmental issues, including hazardous pollutants and waste management practices. Azevedo, et al [9] discussed the importance of green and resilient supply chain management practices in the automotive supply chain. Agile, green, and resilience practices are important for automotive industry due to their individual competitive advantages. Keeping in view the stated problem, this study proposes an integrated sustainable and resilient supply chain network considering disruption risks. This article proposes multi-objective sustainable and resilient supply chain optimization model for the garment industry by considering stochastic and recognitive uncertainties. For the first time, this study considers the reverse supply chain network design in building resilience due to its importance in sustainable supply chain. To the best of authors’ knowledge, this research is one of the primary works using possibilistic programming approach for a sustainable and resilient supply chain network design under stochastic and recognitive uncertainties and the literature considering this approach in sustainable supply chain network design is still scarce
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