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Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS

Author

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  • Chukwuebuka M. U-Dominic

    (Department of Industrial and Production Engineering, Faculty of Engineering, Nnamdi Azikiwe University, Awka 5025, Nigeria)

  • Ifeyinwa Juliet Orji

    (Research Center for Smarter Supply Chain, School of Business, Soochow University, Suzhou 215006, China)

  • Modestus Okwu

    (Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun 330102, Nigeria)

Abstract

Recently, manufacturing companies aspire to implement reverse logistics in response to stakeholders’ requirements to reduce negative environmental consequences, improve organizational sustainable performance and ultimately increase competitive advantage. However, implementing reverse logistics can be impeded by a criteria framework, and necessitates the careful analysis of how such criteria interact with each other in the presence of uncertainty. Thus, in this study, we propose an integrated multi- criteria decision-making (MCDM) methodology that leverages the Decision Making Trial and Evaluation Laboratory (DEMATEL) under Intuitionistic Fuzzy (IF) environment and Evaluation Based on Distance to Average Solution (EDAS). Within the proposed methodology, firstly, the IF-DEMATEL is applied to obtain the interrelationships between the criteria/barriers and then, the EDAS method is applied to prioritize the criteria based on the appraisal scores evaluation. An application case within the Nigerian manufacturing sector was utilized to illustrate the viability of the proposed methodology. The study results indicate that the highly prioritized barriers to implementing reverse logistics within the Nigerian manufacturing sector include low product quality, risk of storing hazardous materials and low technical expertise. Consequently, this study makes a profound contribution to the theory and practice of reverse logistics by presenting an integrated MCDM methodology that can effectively address the criticality of barriers in the way of reverse logistics progression in a complex and uncertain scenario.

Suggested Citation

  • Chukwuebuka M. U-Dominic & Ifeyinwa Juliet Orji & Modestus Okwu, 2021. "Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10876-:d:647141
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    References listed on IDEAS

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    Cited by:

    1. Rashmi Ranjan Swain & Swagatika Mishra & S. S. Mahapatra, 2024. "An integrated BWM–SWARA approach to identify barriers in implementing reverse logistics for an effective supply chain management: a critical study of five bottle manufacturing companies in Odisha (Ind," 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. 15(9), pages 4495-4511, September.
    2. Yu-Lan Wang & Chin-Nung Liao, 2023. "Assessment of Sustainable Reverse Logistic Provider Using the Fuzzy TOPSIS and MSGP Framework in Food Industry," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    3. Dragan Pamučar & Masoud Behzad & Miljojko Janosevic & Claudia Andrea Aburto Araneda, 2022. "A Multi-Criteria Decision-Making Framework for Prioritizing and Overcoming Sectoral Barriers in Converting Agricultural Residues to a Building Material," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    4. Nebojša Brkljač & Milan Delić & Marko Orošnjak & Nenad Medić & Slavko Rakić & Ljiljana Popović, 2024. "Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy," Mathematics, MDPI, vol. 12(16), pages 1-19, August.
    5. Mpho Sharon Makgedi Makaleng & Progress Hove-Sibanda, 2022. "Reverse Logistics Strategies and Their Effect on the Competitiveness of Fast-Moving Consumer Goods Firms in South Africa," Logistics, MDPI, vol. 6(3), pages 1-26, August.
    6. Mladen Krstić & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Snežana Tadić & Violeta Roso, 2022. "Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method," Sustainability, MDPI, vol. 14(9), pages 1-30, May.
    7. Ahmed Dabees & Mahmoud Barakat & Sahar Sobhy Elbarky & Andrej Lisec, 2023. "A Framework for Adopting a Sustainable Reverse Logistics Service Quality for Reverse Logistics Service Providers: A Systematic Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    8. Dariusz Kacprzak, 2024. "A new extension of the EDAS method in a fuzzy environment for group decision-making," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 51(3), pages 263-277, September.
    9. Margarida Pimentel & Amílcar Arantes & Carlos Oliveira Cruz, 2022. "Barriers to the Adoption of Reverse Logistics in the Construction Industry: A Combined ISM and MICMAC Approach," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    10. Gemechu Abdissa & Abebe Ayalew & Anna Dunay & Csaba Bálint Illés, 2022. "Role of Reverse Logistics Activities in the Recycling of Used Plastic Bottled Water Waste Management," Sustainability, MDPI, vol. 14(13), pages 1-20, June.

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