IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v25y2016i1p77-99.html
   My bibliography  Save this article

An integrated methodology of FTA and fuzzy AHP for risk assessment in green supply chain

Author

Listed:
  • Sachin Kumar Mangla
  • Pradeep Kumar
  • Mukesh Kumar Barua

Abstract

This study proposes an integrated methodology of fault-tree analysis (FTA) and the fuzzy analytical hierarchy process (AHP) approach, which provide means to integrate the qualitative and quantitative information to the group decision-making process for analysing green supply chain risks under the fuzzy surroundings. In the proposed methodology, initially, a fault tree diagram is constructed, which includes the probable criteria, and sub-criteria of the green supply chain risks, and later, using the fuzzy AHP approach, these criteria and sub-criteria were prioritised for risk assessment. A total eight risk criteria and 30 sub-criteria were identified based on relevant literature and the experts' input. The research findings illustrates that the product recovery risks and process risks criteria possess highest priority and need considerable managerial responsiveness for reducing the green supply chain susceptibility and hence performance improvement. Further, a plastic manufacturer green supply chain example is resented to show the application of the study.

Suggested Citation

  • Sachin Kumar Mangla & Pradeep Kumar & Mukesh Kumar Barua, 2016. "An integrated methodology of FTA and fuzzy AHP for risk assessment in green supply chain," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 25(1), pages 77-99.
  • Handle: RePEc:ids:ijores:v:25:y:2016:i:1:p:77-99
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=73252
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Puppala, Harish & K Jha, Shibani & Singh, Ajit Pratap & Madurai Elavarasan, Rajvikram & Elia Campana, Pietro, 2022. "Identification and analysis of barriers for harnessing geothermal energy in India," Renewable Energy, Elsevier, vol. 186(C), pages 327-340.
    2. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    3. Peyman Zandi & Mohammad Rahmani & Mojtaba Khanian & Amir Mosavi, 2020. "Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)," Agriculture, MDPI, vol. 10(11), pages 1-27, October.
    4. Yi Liao & Ali Diabat & Chaher Alzaman & Yiqiang Zhang, 2020. "Modeling and heuristics for production time crashing in supply chain network design," Annals of Operations Research, Springer, vol. 288(1), pages 331-361, May.
    5. Alzaman, Chaher & Zhang, Zhi-Hai & Diabat, Ali, 2018. "Supply chain network design with direct and indirect production costs: Hybrid gradient and local search based heuristics," International Journal of Production Economics, Elsevier, vol. 203(C), pages 203-215.
    6. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    7. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    8. Priyank Srivastava & Dinesh Khanduja & Subramaniam Ganesan, 2020. "Fuzzy methodology application for risk analysis of mechanical system in process industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 297-312, April.
    9. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    10. Al-Husain, Raed & Khorramshahgol, Reza, 2020. "Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains," Operations Research Perspectives, Elsevier, vol. 7(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijores:v:25:y:2016:i:1:p:77-99. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=170 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.