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

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  • Abhijit Majumdar
  • Sanjib Kumar Sinha
  • Mahesh Shaw
  • K. Mathiyazhagan

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.

Suggested Citation

  • Abhijit Majumdar & Sanjib Kumar Sinha & Mahesh Shaw & K. Mathiyazhagan, 2021. "Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process," International Journal of Production Research, Taylor & Francis Journals, vol. 59(3), pages 752-771, February.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:3:p:752-771
    DOI: 10.1080/00207543.2019.1708988
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    Cited by:

    1. Ren, Xiaocong & He, Jun & Huang, Zilong, 2023. "Innovation, natural resources abundance, climate change and green growth in agriculture," Resources Policy, Elsevier, vol. 85(PA).
    2. Wei Cao & Xifu Wang, 2022. "Brittleness Evolution Model of the Supply Chain Network Based on Adaptive Agent Graph Theory under the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    3. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    4. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    5. Kao, Ling-Jing & Chiu, Chih-Chou & Lin, Hung-Tse & Hung, Yun-Wei & Lu, Cheng-Chin, 2024. "Unveiling the dimensions of digital transformation: A comprehensive taxonomy and assessment model for business," Journal of Business Research, Elsevier, vol. 176(C).

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