IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8864-d1160526.html
   My bibliography  Save this article

Analysing the Barriers Involved in Recycling the Textile Waste in India Using Fuzzy DEMATEL

Author

Listed:
  • S. G. Ponnambalam

    (School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Bathrinath Sankaranarayanan

    (Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil 626126, India)

  • Koppiahraj Karuppiah

    (Department of Mechanical Engineering, Saveetha School of Engineering, SIMATS, Chennai 602104, India)

  • Shakthi Thinakaran

    (School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Pranesh Chandravelu

    (School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Hon Loong Lam

    (Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham, Broga Road, Selangor 43500, Malaysia)

Abstract

Post-consumer wastes from the textile industry are generally landfilled or incinerated. The dumping of large amounts of textile waste has resulted in severe environmental problems. Advancements in technologies have called for textile recycling; however, the level of embracement made by the textile industry towards textile recycling is hampered by myriad factors. The scope of this study lies in identifying and analyzing multiple barriers to implementing textile recycling in India, encompassing all subsets of sustainability, i.e., social, economic, and environmental. The barriers are then evaluated using a Multiple Criteria Decision Making (MCDM) approach to identify the significant barriers. A trapezoidal fuzzy-DEMATEL methodology was executed to not only find the most influential barriers but also to find the cause-effect nature between every barrier. The outcome of the study indicates a lack of successful recycling business models, poor demand for recycled textiles goods, recycled products may not replace new products, lack of support for waste management in the industry, and absence of tax relief and rewarding policies as the top five barriers to textile waste recycling. This insight could help influence the decision of future policymakers in the field. Another aspect of the issue of pollution in the textile industry is the recent trend of fast fashion and the enormous amount of waste produced by overconsumption. The Sustainability Development Goal (SDG) 12 which is to ensure responsible production and consumption plays a key role in this sector.

Suggested Citation

  • S. G. Ponnambalam & Bathrinath Sankaranarayanan & Koppiahraj Karuppiah & Shakthi Thinakaran & Pranesh Chandravelu & Hon Loong Lam, 2023. "Analysing the Barriers Involved in Recycling the Textile Waste in India Using Fuzzy DEMATEL," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8864-:d:1160526
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8864/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/8864/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Binbin Xu & Qing Chen & Bailu Fu & Rong Zheng & Jintu Fan, 2022. "Current Situation and Construction of Recycling System in China for Post-Consumer Textile Waste," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    2. Lauren M. Degenstein & Rachel H. McQueen & Naomi T. Krogman & Lisa S. McNeill, 2023. "Integrating Product Stewardship into the Clothing and Textile Industry: Perspectives of New Zealand Stakeholders," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    3. Lucy Norris, 2019. "Urban prototypes: Growing local circular cloth economies," Business History, Taylor & Francis Journals, vol. 61(1), pages 205-224, January.
    4. T. Mahanth & C. R. Suryasekaran & S. G. Ponnambalam & Bathrinath Sankaranarayanan & Koppiahraj Karuppiah & Izabela Ewa Nielsen, 2023. "Modelling the Barriers to Circular Economy Practices in the Indian State of Tamil Nadu in Managing E-Wastes to Achieve Green Environment," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    5. Almoghathawi, Yasser & Barker, Kash & Rocco, Claudio M. & Nicholson, Charles D., 2017. "A multi-criteria decision analysis approach for importance identification and ranking of network components," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 142-151.
    6. Evan McCauley & Iva Jestratijevic, 2023. "Exploring the Business Case for Textile-to-Textile Recycling Using Post-Consumer Waste in the US: Challenges and Opportunities," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    7. Bag, Surajit & Yadav, Gunjan & Wood, Lincoln C. & Dhamija, Pavitra & Joshi, Sudhanshu, 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics," Resources Policy, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    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. Senderov, Sergey M. & Smirnova, Elena M. & Vorobev, Sergey V., 2020. "Analysis of vulnerability of fuel supply systems in gas-consuming regions due to failure of critical gas industry facilities," Energy, Elsevier, vol. 212(C).
    2. Carolina Castaldi, 2021. "Sustainable innovation and intellectual property rights: friends, foes or perfect strangers?," LEM Papers Series 2021/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Dui, Hongyan & Wei, Xuan & Xing, Liudong, 2023. "A new multi-criteria importance measure and its applications to risk reduction and safety enhancement," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Dominik Zimon & Peter Madzik & Robert Sroufe, 2020. "The Influence of ISO 9001 & ISO 14001 on Sustainable Supply Chain Management in the Textile Industry," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    6. Kayikci, Yasanur & Kazancoglu, Yigit & Gozacan-Chase, Nazlican & Lafci, Cisem & Batista, Luciano, 2022. "Assessing smart circular supply chain readiness and maturity level of small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 149(C), pages 375-392.
    7. Almansour, Mohammed, 2023. "Artificial intelligence and resource optimization: A study of Fintech start-ups," Resources Policy, Elsevier, vol. 80(C).
    8. Ferdinand Daňo & Peter Drábik & Eva Hanuláková, 2020. "Circular Business Models in Textiles and Apparel Sector in Slovakia," Central European Business Review, Prague University of Economics and Business, vol. 2020(1), pages 1-19.
    9. Zhang, Mingyang & Zhang, Di & Fu, Shanshan & Kujala, Pentti & Hirdaris, Spyros, 2022. "A predictive analytics method for maritime traffic flow complexity estimation in inland waterways," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    10. Hassler, Madison L. & Andrews, Daniel J. & Ezell, Barry C. & Polmateer, Thomas L. & Lambert, James H., 2020. "Multi-perspective scenario-based preferences in enterprise risk analysis of public safety wireless broadband network," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    11. Chung‐Wha (Chloe) Ki & Sze Man Chong & Jung E. Ha‐Brookshire, 2020. "How fashion can achieve sustainable development through a circular economy and stakeholder engagement: A systematic literature review," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(6), pages 2401-2424, November.
    12. Wu, Gongyu & Li, Meiyan & Li, Zhaojun Steven, 2021. "A Gene Importance based Evolutionary Algorithm (GIEA) for identifying critical nodes in Cyber–Physical Power Systems," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    13. Tiong, Achara & Vergara, Hector A., 2023. "Evaluation of network expansion decisions for resilient interdependent critical infrastructures with different topologies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    14. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    15. Luthra, Sunil & Mangla, Sachin Kumar & Sarkis, Joseph & Tseng, Ming-Lang, 2022. "Resources melioration and the circular economy: Sustainability potentials for mineral, mining and extraction sector in emerging economies," Resources Policy, Elsevier, vol. 77(C).
    16. Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    17. Astadi Pangarso & Kristina Sisilia & Retno Setyorini & Yahya Peranginangin & Agni Alam Awirya, 2022. "The long path to achieving green economy performance for micro small medium enterprise," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-19, December.
    18. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2023. "A multi-objective optimization model for identifying groups of critical elements in a high-speed train," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    19. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    20. Ghorbani-Renani, Nafiseh & González, Andrés D. & Barker, Kash & Morshedlou, Nazanin, 2020. "Protection-interdiction-restoration: Tri-level optimization for enhancing interdependent network resilience," Reliability Engineering and System Safety, Elsevier, vol. 199(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:gam:jsusta:v:15:y:2023:i:11:p:8864-:d:1160526. 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.