Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process

Abhijit Majumdar, Sanjib Kumar Sinha, Mahesh Shaw and K. Mathiyazhagan

International Journal of Production Research, 2021, vol. 59, issue 3, 752-771

Abstract: Various risks related to green clothing supply chains of South and Southeast Asian countries have been quantified based on their impact and probability of occurrence. Risks were classified into five categories, namely supply risks, demand risks, process or operation risks, business environment risks and financial risks. These risks were further divided into 18 specific risks. The fuzzy analytic hierarchy process (FAHP) was used to incorporate the vagueness of perception of experts regarding the impact of various supply chain risks. The probability of various risks was quantified by capturing the experts’ opinion using fuzzy numbers. Financial and business environment-related risks were found to have high impact whereas supply, demand and process-related risks have a high probability of occurrence in green clothing supply chain. Finally, a vulnerability matrix was developed where each specific risk was mapped based on their respective impact and probability. The outcome of this research would be very helpful for developing strategies for resilient green clothing supply chains in South and Southeast Asia. This would further drive the implementation of green clothing supply chain management practices in this geographic region.

Date: 2021
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Citations: View citations in EconPapers (8)

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DOI: 10.1080/00207543.2019.1708988

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