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Ranking the obstacles of green supply chain management using fuzzy approaches of TOPSIS and DEMATEL with a case study in a pharmaceutical industry

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  • Arash Shahin
  • Behzad Masoomi
  • Mohammad Ali Shafiei

Abstract

The aim of this study is to analyse and prioritise the obstacles of green supply chain management (GSCM) in the pharmaceutical industry. For this purpose, the obstacles of achieving GSCM have been identified and ranked via fuzzy TOPSIS and DEMATEL approaches. Statistical population consisted of 155 managers, employees and customers of Vetaque Pharmacy Company. Fuzzy DEMATEL technique has been employed for prioritising the obstacles and identifying their causalities. Findings indicate the first to third priorities as the lack of environmental knowledge; unbelief about environmental advantages and green production; and lack of government support in policy making consistent with the environment. The applied fuzzy DEMATEL approach resulted in segmenting obstacles into some meaningful portions in order to effectively facilitate decision making on prioritising obstacles for improvement.

Suggested Citation

  • Arash Shahin & Behzad Masoomi & Mohammad Ali Shafiei, 2019. "Ranking the obstacles of green supply chain management using fuzzy approaches of TOPSIS and DEMATEL with a case study in a pharmaceutical industry," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 33(3), pages 404-419.
    • Handle: RePEc:ids:ijlsma:v:33:y:2019:i:3:p:404-419
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    Citations

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    Cited by:

    1. Feroz Khan & Yousaf Ali, 2022. "Implementation of the circular supply chain management in the pharmaceutical industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13705-13731, December.
    2. Abdel-Aziz Ahmad Sharabati, 2021. "Green Supply Chain Management and Competitive Advantage of Jordanian Pharmaceutical Industry," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    3. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).

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