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Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0

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  • Xi Vincent Wang
  • Lihui Wang

Abstract

The waste electrical and electronic equipment (WEEE) recovery can be categorised into two types, i.e. recycling at the material level and remanufacturing at the component level. However, the WEEE recovery is facing enormous challenges of diversified individuals, lack of product knowledge, distributed location, and so forth. On the other hand, the latest ICT provides new methods and opportunities for industrial operation and management. Thus, in this research digital twin and Industry 4.0 enablers are introduced to the WEEE remanufacturing industry. The goal is to provide an integrated and reliable cyber-avatar of the individual WEEE, thus forming personalised service system. The main contribution presented in this paper is the novel digital twin-based system for the WEEE recovery to support the manufacturing/remanufacturing operations throughout the product’s life cycle, from design to recovery. Meanwhile, the international standard-compliant data models are also developed to support WEEE recovery services with high data interoperability. The feasibility of the proposed system and methodologies is validated and evaluated during implementations in the cloud and cyber-physical system.

Suggested Citation

  • Xi Vincent Wang & Lihui Wang, 2019. "Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3892-3902, June.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:12:p:3892-3902
    DOI: 10.1080/00207543.2018.1497819
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    Cited by:

    1. Haße, Hendrik & van der Valk, Hendrik & Weißenberg, Norbert & Otto, Boris, 2020. "Shared Digital Twins: Data sovereignty in logistics networks," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 763-795, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Saporiti, Nicolò & Cannas, Violetta Giada & Pozzi, Rossella & Rossi, Tommaso, 2023. "Challenges and countermeasures for digital twin implementation in manufacturing plants: A Delphi study," International Journal of Production Economics, Elsevier, vol. 261(C).
    3. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    4. Terje Andersen & Bjørn Jæger & Alok Mishra, 2020. "Circularity in Waste Electrical and Electronic Equipment (WEEE) Directive. Comparison of a Manufacturer’s Danish and Norwegian Operations," Sustainability, MDPI, vol. 12(13), pages 1-15, June.
    5. Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. Atiq Zaman, 2022. "Waste Management 4.0: An Application of a Machine Learning Model to Identify and Measure Household Waste Contamination—A Case Study in Australia," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    7. Zhang Yu & Muhammad Umar & S. Abdul Rehman, 2022. "Adoption of technological innovation and recycling practices in automobile sector: under the Covid-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 298-306, June.
    8. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    9. Zhenyuan Liu & Daniel Wilhelm Hansen & Ziyue Chen, 2023. "Leveraging Digital Twins to Support Industrial Symbiosis Networks: A Case Study in the Norwegian Wood Supply Chain Collaboration," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
    10. Rantala, Tero & Ukko, Juhani & Nasiri, Mina & Saunila, Minna, 2023. "Shifting focus of value creation through industrial digital twins—From internal application to ecosystem-level utilization," Technovation, Elsevier, vol. 125(C).
    11. Roberto Rocca & Paolo Rosa & Claudio Sassanelli & Luca Fumagalli & Sergio Terzi, 2020. "Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case," Sustainability, MDPI, vol. 12(6), pages 1-27, March.
    12. Kendrik Yan Hong Lim & Pai Zheng & Chun-Hsien Chen, 2020. "A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1313-1337, August.
    13. Tsan‐Ming Choi & Subodha Kumar & Xiaohang Yue & Hau‐Ling Chan, 2022. "Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 9-31, January.
    14. Lulu Xin & Shuai Lang & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach," Operations Management Research, Springer, vol. 15(3), pages 773-792, December.
    15. Kazancoglu, Yigit & Sezer, Muruvvet Deniz & Ozkan-Ozen, Yesim Deniz & Mangla, Sachin Kumar & Kumar, Ajay, 2021. "Industry 4.0 impacts on responsible environmental and societal management in the family business," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Xiaodong Zhu & Wei Li, 2020. "Research on the Pricing Strategy of “Internet +” Recycling Platforms in a Two-Sided Network Environment," Sustainability, MDPI, vol. 12(3), pages 1-19, January.
    17. Hendrik Haße & Hendrik Valk & Frederik Möller & Boris Otto, 2022. "Design Principles for Shared Digital Twins in Distributed Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 751-772, December.
    18. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

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