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Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations

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  • Nativi, Juan Jose
  • Lee, Seokcheon

Abstract

The integration of environmental practices in a supply chain has been study for the past few decades. However, most of the work relies on centralized decisions made by one player. Few papers address the complex dynamics of environmental decentralized supply chains and how these dynamics can affect environmental and economic outcomes. To study this problem, we consider a supply chain with a manufacturer and two different suppliers: a recycled-material and a raw-material supplier. The players make individual inventory decisions to satisfy demand and reduce cost. Further, this supply chain encompasses stochastic elements such as in demands, returns, and collection leadtimes. These decentralized decisions and random factors can cause underperforming results; therefore, new inventory models and technologies are needed to help companies increase coordination within these systems. We model the implementation of Radio Frequency Identification (RFID) in the supply chain to determine if real-time inventory monitoring and information sharing can help the system attain higher environmental benefits (more returns) and higher economic benefits (less cost). We study two scenarios through a simulation-based analysis: No RFID and RFID. Numerical studies show that environmental benefits are significantly increased with the attainment of more returns. However, although economic benefits are realized, they are less significant than the environmental benefits. Further regression and sensitivity analyses on the cost performance measures reveal that economic benefits depend on several drivers inside the system. We present managerial insights that illustrate what configurations within this complex system can lead to the achieving of environmental as well as economic benefits.

Suggested Citation

  • Nativi, Juan Jose & Lee, Seokcheon, 2012. "Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations," International Journal of Production Economics, Elsevier, vol. 136(2), pages 366-377.
  • Handle: RePEc:eee:proeco:v:136:y:2012:i:2:p:366-377
    DOI: 10.1016/j.ijpe.2011.12.024
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    7. Dev, Navin K. & Shankar, Ravi & Swami, Sanjeev, 2020. "Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system," International Journal of Production Economics, Elsevier, vol. 223(C).
    8. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
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    11. 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.
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    13. Pablo Becerra & Josefa Mula & Raquel Sanchis, 2022. "Sustainable Inventory Management in Supply Chains: Trends and Further Research," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    14. Jairo R. Montoya-Torres & Diego A. Ortiz-Vargas, 2014. "Collaboration and information sharing in dyadic supply chains: A literature review over the period 2000–2012," Estudios Gerenciales, Universidad Icesi, November.
    15. Agata Mesjasz-Lech, 2016. "Changes in the Use of ERP Systems Supporting Enterprise Logistics in Poland – Sectoral Analysis," Proceedings- 11th International Conference on Mangement, Enterprise and Benchmarking (MEB 2016),, Óbuda University, Keleti Faculty of Business and Management.
    16. Lui, Ariel K.H. & Lo, Chris K.Y. & Ngai, Eric W.T., 2019. "Does mandated RFID affect firm risk? The moderating role of top management team heterogeneity," International Journal of Production Economics, Elsevier, vol. 210(C), pages 84-96.
    17. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    18. Mehr Sadat Salami & Mohammadreza Eslamipirharati & Alireza Bakhshi & Amir Aghsami & Fariborz Jolai & Maziar Yazdani, 2022. "Does a Buyback Contract Coordinate a Reverse Supply Chain Facing Remanufacturing Capacity Disruption and Returned Product Quality Uncertainty?," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    19. 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).
    20. Alqahtani, Ammar Y. & Gupta, Surendra M. & Nakashima, Kenichi, 2019. "Warranty and maintenance analysis of sensor embedded products using internet of things in industry 4.0," International Journal of Production Economics, Elsevier, vol. 208(C), pages 483-499.
    21. Tarun Kumar Agrawal & Rudrajeet Pal, 2019. "Traceability in Textile and Clothing Supply Chains: Classifying Implementation Factors and Information Sets via Delphi Study," Sustainability, MDPI, vol. 11(6), pages 1-18, March.

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