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Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method

Author

Listed:
  • Mladen Krstić

    (Department of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni snc, 73100 Lecce, Italy)

  • Giulio Paolo Agnusdei

    (Department of Innovation Engineering, University of Salento, Via Monteroni snc, 73100 Lecce, Italy)

  • Pier Paolo Miglietta

    (Department of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni snc, 73100 Lecce, Italy)

  • Snežana Tadić

    (Logistics Department, Faculty of Transport and Traffic Engineering, University of Belgrade, VojvodeStepe 305, 11000 Belgrade, Serbia)

  • Violeta Roso

    (Department of Technology Management and Economics, Chalmers University of Technology, 41296 Gothenburg, Sweden)

Abstract

The logistics sector plays one of the most important roles in the supply chain with the aim of providing a fast, flexible, safe, economical, efficient, and environmentally acceptable performance of freight transport flows. In addition, the popularization of the concept of a circular economy (CE) used to retain goods, components, and materials at their highest usability and value at all times, illustrates the importance of the adequate performance of reverse logistics (RL) processes. However, traditional RL is unable to cope with the requirements of modern supply chains and requires the application of Industry 4.0 technologies, which would make it more efficient. The main aim of this study was to evaluate the applicability of various Industry 4.0 technologies in the RL sector in order to point out the most applicable ones. To solve the defined problem, a novel multi-criteria decision making (MCDM) model was defined by combining the best—worst method (BWM) to obtain the criteria weights, and the newly developed comprehensive distance-based ranking (COBRA) method to rank the technologies. Another aim of the study was to validate the newly established method. The results indicated that the most applicable technologies were the Internet of Things, cloud computing, and electronic—mobile marketplaces. These technologies will have a significant impact on the development of RL and the establishment of CE systems, thus bringing about all the related positive effects.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5632-:d:810354
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    as
    1. Aleksandras Krylovas & Edmundas Kazimieras Zavadskas & Natalja Kosareva & Stanislav Dadelo, 2014. "New KEMIRA Method for Determining Criteria Priority and Weights in Solving MCDM Problem," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 1119-1133.
    2. Patricia Kanashiro, 2020. "Can environmental governance lower toxic emissions? A panel study of U.S. high‐polluting industries," Business Strategy and the Environment, Wiley Blackwell, vol. 29(4), pages 1634-1646, May.
    3. Y. P. Tsang & C. H. Wu & H. Y. Lam & K. L. Choy & G. T. S. Ho, 2021. "Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1534-1556, March.
    4. Tan Ching Ng & Sie Yee Lau & Morteza Ghobakhloo & Masood Fathi & Meng Suan Liang, 2022. "The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    5. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2007. "Extended VIKOR method in comparison with outranking methods," European Journal of Operational Research, Elsevier, vol. 178(2), pages 514-529, April.
    6. Jixiao Wu & Yinghui Wang, 2021. "Distribution of the Emergency Supplies in the COVID-19 Pandemic: A Cloud Computing Based Approach," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, October.
    7. M. Thürer & Y. H. Pan & T. Qu & H. Luo & C. D. Li & G. Q. Huang, 2019. "Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2621-2630, October.
    8. NNC Pushpamali & Duzgun Agdas & Timothy M. Rose, 2019. "A Review of Reverse Logistics: An Upstream Construction Supply Chain Perspective," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    9. Peter C. Fishburn, 1967. "Letter to the Editor—Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments," Operations Research, INFORMS, vol. 15(3), pages 537-542, June.
    10. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    11. Kim, Suwon & Kim, Seongcheol, 2016. "A multi-criteria approach toward discovering killer IoT application in Korea," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 143-155.
    12. Aleksandar Blagojević & Sandra Kasalica & Željko Stević & Goran Tričković & Vesna Pavelkić, 2021. "Evaluation of Safety Degree at Railway Crossings in Order to Achieve Sustainable Traffic Management: A Novel Integrated Fuzzy MCDM Model," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    13. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    14. Alao, Moshood Akanni & Popoola, Olawale M. & Ayodele, Temitope Rapheal, 2021. "Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa," Renewable Energy, Elsevier, vol. 178(C), pages 162-183.
    15. Torkayesh, Ali Ebadi & Torkayesh, Sajjad Ebadi, 2021. "Evaluation of information and communication technology development in G7 countries: An integrated MCDM approach," Technology in Society, Elsevier, vol. 66(C).
    16. Milovan KovaÄ & Snežana Tadić & Mladen Krstić & Mouhamed Bayane Bouraima & Borna Abramović, 2021. "Novel Spherical Fuzzy MARCOS Method for Assessment of Drone-Based City Logistics Concepts," Complexity, Hindawi, vol. 2021, pages 1-17, December.
    17. Shilpa Sambhi & Preeti Dahiya, 2020. "Reverse vending machine for managing plastic waste," 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(3), pages 635-640, June.
    18. Yigit Kazancoglu & Esra Ekinci & Sachin Kumar Mangla & Muruvvet Deniz Sezer & Yasanur Kayikci, 2021. "Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 71-91, January.
    19. Chia-Nan Wang & Ngoc-Ai-Thy Nguyen & Thanh-Tuan Dang & Chen-Ming Lu, 2021. "A Compromised Decision-Making Approach to Third-Party Logistics Selection in Sustainable Supply Chain Using Fuzzy AHP and Fuzzy VIKOR Methods," Mathematics, MDPI, vol. 9(8), pages 1-27, April.
    20. Supansa Chaising & Hans-Dietrich Haasis, 2021. "Cloud computing for logistics and procurement services for SMEs and raw material suppliers," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 38(4), pages 459-474.
    21. Miomir Stanković & Željko Stević & Dillip Kumar Das & Marko Subotić & Dragan Pamučar, 2020. "A New Fuzzy MARCOS Method for Road Traffic Risk Analysis," Mathematics, MDPI, vol. 8(3), pages 1-18, March.
    22. 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.
    23. Mladen Krstić & Snežana Tadić & Milovan Kovač & Violeta Roso & Slobodan Zečević, 2021. "A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-17, October.
    24. Pilkington Marc, 2016. "Blockchain Technology: Principles and Applications," Post-Print halshs-01231205, HAL.
    25. 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.
    26. V. Sathiya & M. Chinnadurai & S. Ramabalan & Andrea Appolloni, 2021. "Mobile robots and evolutionary optimization algorithms for green supply chain management in a used-car resale company," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9110-9138, June.
    27. Abderahman Rejeb & John G. Keogh & G. Keong Leong & Horst Treiblmaier, 2021. "Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3747-3776, June.
    28. Rey, Andrea & Panetti, Eva & Maglio, Roberto & Ferretti, Marco, 2021. "Determinants in adopting the Internet of Things in the transport and logistics industry," Journal of Business Research, Elsevier, vol. 131(C), pages 584-590.
    29. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    30. Joshi, Aditi D. & Gupta, Surendra M., 2019. "Evaluation of design alternatives of End-Of-Life products using internet of things," International Journal of Production Economics, Elsevier, vol. 208(C), pages 281-293.
    31. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    32. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    33. Albert Czerny & Peter Letmathe, 2017. "Eco‐efficiency: GHG reduction related environmental and economic performance. The case of the companies participating in the EU Emissions Trading Scheme," Business Strategy and the Environment, Wiley Blackwell, vol. 26(6), pages 791-806, September.
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    Cited by:

    1. Saverio Ferraro & Alessandra Cantini & Leonardo Leoni & Filippo De Carlo, 2023. "Sustainable Logistics 4.0: A Study on Selecting the Best Technology for Internal Material Handling," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    2. Abduallah Gamal & Mohamed Abdel-Basset & Ibrahim M. Hezam & Karam M. Sallam & Ibrahim A. Hameed, 2023. "An Interactive Multi-Criteria Decision-Making Approach for Autonomous Vehicles and Distributed Resources Based on Logistic Systems: Challenges for a Sustainable Future," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    3. Yafeng Han & Tetiana Shevchenko & Bernard Yannou & Meisam Ranjbari & Zahra Shams Esfandabadi & Michael Saidani & Ghada Bouillass & Kseniia Bliumska-Danko & Guohou Li, 2023. "Exploring How Digital Technologies Enable a Circular Economy of Products," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    4. Victoria Akberdina & Wadim Strielkowski & Natalia Linder & Sergey Kashirin & Lyudmila Shmeleva, 2023. "Information Technology and Digital Sufficiency for Building the Sustainable Circular Economy," Energies, MDPI, vol. 16(3), pages 1-14, January.
    5. Mladen Krstić & Snežana Tadić & Valerio Elia & Stefania Massari & Muhammad Umar Farooq, 2023. "Intermodal Terminal Subsystem Technology Selection Using Integrated Fuzzy MCDM Model," Sustainability, MDPI, vol. 15(4), pages 1-17, February.

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