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Remanufacturing with RFID item-level information: Optimization, waste reduction and quality improvement

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  • Zhou, Wei
  • Piramuthu, Selwyn

Abstract

We consider RFID tags and their applications from a recycling/remanufacturing perspective and propose a novel framework to assist such process based on item-level information visibility and instantaneous tracking/tracing ability enabled by RFID. The incorporation of RFID in the reverse supply chain results in cost reduction, service and production quality improvement and pollution and waste reduction. With RFID in a reverse supply chain, we observe the power shift from waste-driven to market-driven system. Moreover, RFID's value increases with uncertainties in reverse operations as well as individual products and components.

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  • Zhou, Wei & Piramuthu, Selwyn, 2013. "Remanufacturing with RFID item-level information: Optimization, waste reduction and quality improvement," International Journal of Production Economics, Elsevier, vol. 145(2), pages 647-657.
    • Handle: RePEc:eee:proeco:v:145:y:2013:i:2:p:647-657
    DOI: 10.1016/j.ijpe.2013.05.019
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    Cited by:

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    2. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    3. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    4. Liao, Haolan & Zhang, Qingyu & Li, Lu, 2023. "Optimal procurement strategy for multi-echelon remanufacturing systems under quality uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    5. Luttiely Santos Oliveira & Ricardo Luiz Machado, 2021. "Application of optimization methods in the closed-loop supply chain: a literature review," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 357-400, February.
    6. Dai, Hongyan & Ge, Ling & Zhou, Weihua, 2015. "A design method for supply chain traceability systems with aligned interests," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 14-24.
    7. Hendrik S. Birkel & Johannes W. Veile & Julian M. Müller & Evi Hartmann & Kai-Ingo Voigt, 2019. "Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers," Sustainability, MDPI, vol. 11(2), pages 1-27, January.
    8. José Eduardo Galve & Daniel Elduque & Carmelo Pina & Carlos Javierre, 2016. "Sustainable Supply Chain Management: The Influence of Disposal Scenarios on the Environmental Impact of a 2400 L Waste Container," Sustainability, MDPI, vol. 8(6), pages 1-12, June.
    9. Gong, Qiguo & Yang, Yuru & Wang, Shouyang, 2014. "Information and decision-making delays in MRP, KANBAN, and CONWIP," International Journal of Production Economics, Elsevier, vol. 156(C), pages 208-213.
    10. Tao, Feng & Wang, Liang & Fan, Tijun & Yu, Hao, 2022. "RFID adoption strategy in a retailer-dominant supply chain with competing suppliers," European Journal of Operational Research, Elsevier, vol. 302(1), pages 117-129.
    11. Zhu, Qinghua & Li, Helong & Zhao, Senlin & Lun, Venus, 2016. "Redesign of service modes for remanufactured products and its financial benefits," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 231-240.
    12. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
    13. Fombelle, Paul W. & Voorhees, Clay M. & Jenkins, Mason R. & Sidaoui, Karim & Benoit, Sabine & Gruber, Thorsten & Gustafsson, Anders & Abosag, Ibrahim, 2020. "Customer deviance: A framework, prevention strategies, and opportunities for future research," Journal of Business Research, Elsevier, vol. 116(C), pages 387-400.
    14. Kai Meng & Peihuang Lou & Xianghui Peng & Victor Prybutok, 2017. "Quality-driven recovery decisions for used components in reverse logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4712-4728, August.
    15. Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2016. "Closed-loop supply chains: What reverse logistics factors influence performance?," International Journal of Production Economics, Elsevier, vol. 175(C), pages 35-49.

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