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Achieving Net-Zero in the Manufacturing Supply Chain through Carbon Capture and LCA: A Comprehensive Framework with BWM-Fuzzy DEMATEL

Author

Listed:
  • Alok Yadav

    (Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144008, India)

  • Anish Sachdeva

    (Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144008, India)

  • Rajiv Kumar Garg

    (Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144008, India)

  • Karishma M. Qureshi

    (Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia 391760, India)

  • Bhavesh G. Mewada

    (Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia 391760, India)

  • Mohamed Rafik Noor Mohamed Qureshi

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Mohamed Mansour

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
    Industrial Engineering Department, College of Engineering, Zagazig University, Zagazig 44519, Egypt)

Abstract

Nowadays, industries across the globe are acknowledging the need for a Net Zero Supply Chain (NZSC) by 2050, particularly within the Manufacturing Supply Chain (MSC) due to its significant contribution to Greenhouse Gas (GHG) emissions. Government and regulatory bodies pressure the industry to reduce GHG emissions. Industries focus on cleaner and sustainable production by adopting net zero technique practices. Achieving the net zero goal needs technological integration, such as Caron Capture Technology (CCT) and Life Cycle Assessment (LCA). Are LCA and CCT unlocking the potential for net-zero practices in MSC? This still needs to be answered. Therefore, this study aims to identify and prioritize potential enablers of Life Cycle Assessment (LCA) to facilitate the NZSC. We identified potential enablers using a Systematic Literature Review (SLR) and expert opinion. An empirical study validated these enablers, followed by the application of the “Best-Worst Method (BWM)” to rank them and the “Fuzzy Decision-making trial and evaluation laboratory (F-DEMATEL)” to identify causal relationships. The outcomes of this study reveal that ‘Energy Management and Emission Reduction’ is the most critical category of enablers, followed by ‘Governance and Collaboration’, ‘Assessment and Digitalization’, and ‘Sustainable Materials and Production’. Outcomes highlight the importance of integrating technological innovations and stakeholder engagement to achieve net-zero goals. The implications of this study provide valuable insights for policymakers and practitioners. By focusing on the prioritized enablers, the manufacturing industry can effectively implement LCA, develop the NZSC business model, and enhance competitiveness in the global market. This study contributes to the ongoing discourse on sustainable manufacturing practices and offers a strategic framework for achieving NZSC by 2050.

Suggested Citation

  • Alok Yadav & Anish Sachdeva & Rajiv Kumar Garg & Karishma M. Qureshi & Bhavesh G. Mewada & Mohamed Rafik Noor Mohamed Qureshi & Mohamed Mansour, 2024. "Achieving Net-Zero in the Manufacturing Supply Chain through Carbon Capture and LCA: A Comprehensive Framework with BWM-Fuzzy DEMATEL," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6972-:d:1456324
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    References listed on IDEAS

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    1. Abbas Sepehriar & Reza Eslamipoor, 2024. "An economical single-vendor single-buyer framework for carbon emission policies," Journal of Business Economics, Springer, vol. 94(6), pages 927-945, August.
    2. Christopher G. F. Bataille, 2020. "Physical and policy pathways to net‐zero emissions industry," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(2), March.
    3. Barnes, Stuart J. & Mattsson, Jan, 2016. "Understanding current and future issues in collaborative consumption: A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 200-211.
    4. Subramanian, Nachiappan & Gunasekaran, Angappa, 2015. "Cleaner supply-chain management practices for twenty-first-century organizational competitiveness: Practice-performance framework and research propositions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 216-233.
    5. Anbesh Jamwal & Sushma Kumari & Rajeev Agrawal & Monica Sharma & Ismail Gölgeci, 2024. "Unlocking Circular Economy Through Digital Transformation: the Role of Enabling Factors in SMEs," International Journal of Global Business and Competitiveness, Springer, vol. 19(1), pages 24-36, June.
    6. Karishma M. Qureshi & Bhavesh G. Mewada & Mohanad Kamil Buniya & Mohamed Rafik Noor Mohamed Qureshi, 2023. "Analyzing Critical Success Factors of Lean 4.0 Implementation in Small and Medium Enterprises for Sustainable Manufacturing Supply Chain for Industry 4.0 Using PLS-SEM," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    7. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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    1. Leandro Colevati dos Santos & Maria Lucia Pereira da Silva & Sebastião Gomes dos Santos Filho, 2024. "Sustainability in Industry 4.0: Edge Computing Microservices as a New Approach," Sustainability, MDPI, vol. 16(24), pages 1-20, December.

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