IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5632-d810354.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5632/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/9/5632/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    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. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Pilkington Marc, 2016. "Blockchain Technology: Principles and Applications," Post-Print halshs-01231205, HAL.
    31. 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.
    32. 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.
    33. 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.
    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. 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. Veysi Asker, 2024. "Financial Performance Analysis Using the Merec-Based Cobra Method: An Application to Traditional and Low-Cost Airlines," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 35-52.
    6. 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.

    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. Mladen Krstić & Giulio Paolo Agnusdei & Snežana Tadić & Milovan Kovač & Pier Paolo Miglietta, 2023. "A Novel Axial-Distance-Based Aggregated Measurement (ADAM) Method for the Evaluation of Agri-Food Circular-Economy-Based Business Models," Mathematics, MDPI, vol. 11(6), pages 1-27, March.
    2. Maghsoodi, Abtin Ijadi, 2023. "Cryptocurrency portfolio allocation using a novel hybrid and predictive big data decision support system," Omega, Elsevier, vol. 115(C).
    3. Ioannis Sitaridis & Fotis Kitsios, 2020. "Competitiveness analysis and evaluation of entrepreneurial ecosystems: a multi-criteria approach," Annals of Operations Research, Springer, vol. 294(1), pages 377-399, November.
    4. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    5. Kai Wang & Zhe Wang & Jun Deng & Yuanyuan Feng & Quanfang Li, 2022. "Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    6. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Ahmadipour, Masoud & Heidari, Ali Asghar & Chen, Huiling, 2021. "Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Haseli, Gholamreza & Yaran Ögel, İlkin & Ecer, Fatih & Hajiaghaei-Keshteli, Mostafa, 2023. "Luxury in female technology (FemTech): Selection of smart jewelry for women through BCM-MARCOS group decision-making framework with fuzzy ZE-numbers," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Thomas L. Saaty & Daji Ergu, 2015. "When is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1171-1187, November.
    9. Shih-Chia Chang & Hsu-Hwa Chang & Ming-Tsang Lu, 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
    10. Sarfaraz Hashemkhani Zolfani & Edmundas Kazimieras Zavadskas & Payam Khazaelpour & Fausto Cavallaro, 2018. "The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    11. Ali Sibevei & Pardis Roozkhosh, 2024. "Prioritizing Barriers to Resilience in Blood Supply Chains: An Integrated Multi-Criteria Decision-Making Approach," SN Operations Research Forum, Springer, vol. 5(2), pages 1-37, June.
    12. Torkayesh, Ali Ebadi & Alizadeh, Reza & Soltanisehat, Leili & Torkayesh, Sajjad Ebadi & Lund, Peter D., 2022. "A comparative assessment of air quality across European countries using an integrated decision support model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    13. Emanuele Salerno, 2020. "Identifying Value-Increasing Actions for Cultural Heritage Assets through Sensitivity Analysis of Multicriteria Evaluation Results," Sustainability, MDPI, vol. 12(21), pages 1-13, November.
    14. Chia-Wei Hsu & Tsai-Chi Kuo & Guey-Shin Shyu & Pi-Shen Chen, 2014. "Low Carbon Supplier Selection in the Hotel Industry," Sustainability, MDPI, vol. 6(5), pages 1-27, May.
    15. Nien-Ping Chen & Kao-Yi Shen & Chiung-Ju Liang, 2021. "Hybrid Decision Model for Evaluating Blockchain Business Strategy: A Bank’s Perspective," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    16. Ilaria Henke & Armando Cartenì & Luigi Di Francesco, 2020. "A Sustainable Evaluation Processes for Investments in the Transport Sector: A Combined Multi-Criteria and Cost–Benefit Analysis for a New Highway in Italy," Sustainability, MDPI, vol. 12(23), pages 1-26, November.
    17. Yazdani, Morteza & Torkayesh, Ali Ebadi & Chatterjee, Prasenjit & Fallahpour, Alireza & Montero-Simo, Maria Jose & Araque-Padilla, Rafael A. & Wong, Kuan Yew, 2022. "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    18. Jim-Yuh Huang & Kao-Yi Shen & Joseph C.P. Shieh & Gwo-Hshiung Tzeng, 2019. "Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model," Sustainability, MDPI, vol. 11(3), pages 1-27, January.
    19. 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.
    20. Morteza Yazdani & Dragan Pamucar & Prasenjit Chatterjee & Ali Ebadi Torkayesh, 2022. "“A multi-tier sustainable food supplier selection model under uncertainty”," Operations Management Research, Springer, vol. 15(1), pages 116-145, June.

    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:gam:jsusta:v:14:y:2022:i:9:p:5632-:d:810354. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.