IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v57y2020i3d10.1007_s12597-020-00453-w.html
   My bibliography  Save this article

A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework

Author

Listed:
  • Chandra Prakash Garg

    (Indian Institute of Management Rohtak)

Abstract

The rising electronics waste (e-waste), increased pollution, disposal issues and exploitation of natural resources have augmented ecological and resource scarcity problems. These problems can be abate by adopting reverse logistics (RL) implementation so, the environmental protection and resource recovery options such as reuse, refurbish, recycle, remanufacturing and proper disposal can be executed to deal and manage with the e-waste. The goal of this research work is to identifies, evaluate and analyze the factors for successful implementation of RL practices. Fifteen critical RL factors are recognized from pertinent literature and endorsed by industry professionals. This paper utilized Grey based Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to sort the identified factors into cause and effect clusters. Grey DEMATEL resolves the problem of data uncertainty and impreciseness involves in decision making in analyzing the factors. The results of the study found that 11 RL factors came into causal cluster as vital factors and 4 RL factors into the effect cluster as fundamental problems factors. Among causal cluster, the highest ranked four influential factors are Top management commitment (RLF1) with weightage value 0.7604, RLF2 i.e. enforced government regulations with weightage value 0.6549, RLF6 i.e. environmental/green concerns factor with weightage value 0.5678 and RLF8 i.e. Waste minimization (especially e-waste) factor with weightage value 0.5113 are respectively. Similarly, among effect cluster, the most easily influenced two factors are “Market and competition factors” (RLF15) with weightage value (− 1.1207) and “Increased e-commerce” (RLF13) with weightage value (− 1.2855) respectively. A case example of an Indian electronics firm is taken to showcase the application of the proposed model. This paper can help supply chain managers and analysts in superior understanding of critical factors and increase the chances of practicing more effective and successful RL implementation in electronics industry. At the end, few key country and industry-specific recommendations are offered to support major decision for management and policy makers to embrace and successfully accomplish the reverse supply chain practices in India.

Suggested Citation

  • Chandra Prakash Garg, 2020. "A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 837-873, September.
  • Handle: RePEc:spr:opsear:v:57:y:2020:i:3:d:10.1007_s12597-020-00453-w
    DOI: 10.1007/s12597-020-00453-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-020-00453-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12597-020-00453-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Himanshu Gupta & Chandra Prakash & Vinayak Vishwakarma & Mukesh Kumar Barua, 2017. "Evaluating TQM adoption success factors to improve Indian MSMEs performance using fuzzy DEMATEL approach," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 21(2), pages 187-202.
    2. Abdulrahman, Muhammad D. & Gunasekaran, Angappa & Subramanian, Nachiappan, 2014. "Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 460-471.
    3. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    4. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    5. Amini, M. Mehdi & Retzlaff-Roberts, Donna & Bienstock, Carol C., 2005. "Designing a reverse logistics operation for short cycle time repair services," International Journal of Production Economics, Elsevier, vol. 96(3), pages 367-380, June.
    6. Chandra Prakash & M.K. Barua, 2017. "Flexible modelling approach for evaluating reverse logistics adoption barriers using fuzzy AHP and IRP framework," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 30(2), pages 151-171.
    7. Garg, Chandra Prakash, 2016. "A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 55-66.
    8. Daniel R. Cooper & Timothy G. Gutowski, 2017. "The Environmental Impacts of Reuse: A Review," Journal of Industrial Ecology, Yale University, vol. 21(1), pages 38-56, February.
    9. L. Beril Toktay & Lawrence M. Wein & Stefanos A. Zenios, 2000. "Inventory Management of Remanufacturable Products," Management Science, INFORMS, vol. 46(11), pages 1412-1426, November.
    10. Lai, Kee-hung & Wong, Christina W.Y., 2012. "Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters," Omega, Elsevier, vol. 40(3), pages 267-282.
    11. Prahinski, Carol & Kocabasoglu, Canan, 2006. "Empirical research opportunities in reverse supply chains," Omega, Elsevier, vol. 34(6), pages 519-532, December.
    12. Vikas Singh Sengar & Chandra Prakash Garg & T. Bangar Raju, 2018. "Assessment of sustainable initiatives in Indian ports using AHP framework," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 16(1), pages 110-126.
    13. Zikopoulos, Christos & Tagaras, George, 2007. "Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation," European Journal of Operational Research, Elsevier, vol. 182(1), pages 205-225, October.
    14. Mahtani, Umesh S. & Garg, Chandra Prakash, 2018. "An analysis of key factors of financial distress in airline companies in India using fuzzy AHP framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 87-102.
    15. Cruz-Rivera, Reynaldo & Ertel, Jürgen, 2009. "Reverse logistics network design for the collection of End-of-Life Vehicles in Mexico," European Journal of Operational Research, Elsevier, vol. 196(3), pages 930-939, August.
    16. Rahman, Shams & Subramanian, Nachiappan, 2012. "Factors for implementing end-of-life computer recycling operations in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 140(1), pages 239-248.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chandra Prakash Garg & Vishal Kashav & Xuemuge Wang, 2023. "Evaluating sustainability factors of green ports in China under fuzzy environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7795-7821, August.
    2. Dimas Haki Prayogo & Roman Domanski & Paulina Golinska-Dawson, 2024. "The Key Factors for Improving Returns Management in E-Commerce in Indonesia from Customers’ Perspectives—An Analytic Hierarchy Process Approach," Sustainability, MDPI, vol. 16(17), pages 1-18, August.
    3. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    2. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    3. Chandra Prakash Garg & Vishal Kashav & Xuemuge Wang, 2023. "Evaluating sustainability factors of green ports in China under fuzzy environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7795-7821, August.
    4. Chandra Prakash Garg & Archana Sharma, 2020. "Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1529-1557, February.
    5. Chandra Prakash & Mukesh Kumar Barua, 2016. "A Multi-criteria Decision-making Approach for Prioritizing Reverse Logistics Adoption Barriers under Fuzzy Environment: Case of Indian Electronics Industry," Global Business Review, International Management Institute, vol. 17(5), pages 1107-1124, October.
    6. Deepak Lamba & Devendra K. Yadav & Akhilesh Barve & Ganapati Panda, 2020. "Prioritizing barriers in reverse logistics of E-commerce supply chain using fuzzy-analytic hierarchy process," Electronic Commerce Research, Springer, vol. 20(2), pages 381-403, June.
    7. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    8. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    9. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    10. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    11. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    12. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    13. Khor, Kuan Siew & Udin, Zulkifli Mohamed & Ramayah, Thurasamy & Hazen, Benjamin T., 2016. "Reverse logistics in Malaysia: The Contingent role of institutional pressure," International Journal of Production Economics, Elsevier, vol. 175(C), pages 96-108.
    14. Patricia Guarnieri & Lucio Camara e Silva & Bárbara de Oliveira Vieira, 2020. "How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition," Logistics, MDPI, vol. 4(4), pages 1-31, October.
    15. Zhou, Xiaoguang & Zhou, Yanhui, 2015. "Designing a multi-echelon reverse logistics operation and network: A case study of office paper in Beijing," Resources, Conservation & Recycling, Elsevier, vol. 100(C), pages 58-69.
    16. Ye, Fei & Zhao, Xiande & Prahinski, Carol & Li, Yina, 2013. "The impact of institutional pressures, top managers' posture and reverse logistics on performance—Evidence from China," International Journal of Production Economics, Elsevier, vol. 143(1), pages 132-143.
    17. Vidovic, Milorad & Dimitrijevic, Branka & Ratkovic, Branislava & Simic, Vladimir, 2011. "A novel covering approach to positioning ELV collection points," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 1-9.
    18. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    19. Zhiguo Wang & Lufei Huang & Cici Xiao He, 0. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-28.
    20. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.

    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:spr:opsear:v:57:y:2020:i:3:d:10.1007_s12597-020-00453-w. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.