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Design of traceability systems for product recall

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  • Hongyan Dai
  • Mitchell M. Tseng
  • Paul H. Zipkin

Abstract

A product recall is very expensive and a poorly executed recall can be devastating to a company’s reputation. It is, therefore, important to improve the traceability for supply chains to address potential recalls. This paper studies the recall dynamics in a two-stage supply chain with a manufacturer and two suppliers. It is shown that the suppliers would opt-out in improving traceability due to misalignment of incentives, leading to diminishing traceability of the whole supply chain and high product recall liabilities for the manufacturer. To address this problem, this research designs an interest-sharing mechanism by which the recall liability reduction of the manufacturer due to improved traceability can be shared with the suppliers to induce traceability improvement effort. Results show that the interest-sharing mechanism improves not only the economic benefit, but also the traceability for each party. We also provide a systematic framework to choose the design parameters, including the degree of accuracy and level of coding, for the supply chain to realise such benefits.

Suggested Citation

  • Hongyan Dai & Mitchell M. Tseng & Paul H. Zipkin, 2015. "Design of traceability systems for product recall," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 511-531, January.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:2:p:511-531
    DOI: 10.1080/00207543.2014.955922
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    Citations

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    Cited by:

    1. Hall, David C. & Johnson-Hall, Tracy D., 2021. "Recall effectiveness, strategy, and task complexity in the U.S. meat and poultry industry," International Journal of Production Economics, Elsevier, vol. 234(C).
    2. David C. Hall & Tracy D. Johnson-Hall, 2021. "The value of downstream traceability in food safety management systems: an empirical examination of product recalls," Operations Management Research, Springer, vol. 14(1), pages 61-77, June.
    3. Bo Yan & Xiaoxu Chen & Qin Yuan & Xiaotai Zhou, 2020. "Sustainability in fresh agricultural product supply chain based on radio frequency identification under an emergency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1343-1361, December.
    4. Dai, Bin & Nu, Yu & Xie, Xia & Li, Jianbin, 2021. "Interactions of traceability and reliability optimization in a competitive supply chain with product recall," European Journal of Operational Research, Elsevier, vol. 290(1), pages 116-131.
    5. Yu Zhang & Nan Liu, 2021. "Optimal Internet of Things Technology Adoption Decisions and Pricing Strategies for High-Traceability Logistics Services," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    6. Li, Huashan & Bapuji, Hari & Talluri, Srinivas & Singh, Prakash J., 2022. "A Cross-disciplinary review of product recall research: A stakeholder-stage framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    7. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    8. ur Rehman, Attique & Shakeel Sadiq Jajja, Muhammad & Farooq, Sami, 2022. "Manufacturing planning and control driven supply chain risk management: A dynamic capability perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    9. 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.
    10. Shou, Yongyi & Zhao, Xinyu & Dai, Jing & Xu, Dong, 2021. "Matching traceability and supply chain coordination: Achieving operational innovation for superior performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Latino, Maria Elena & Menegoli, Marta & Lazoi, Mariangela & Corallo, Angelo, 2022. "Voluntary traceability in food supply chain: a framework leading its implementation in Agriculture 4.0," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    12. Zavala, Araceli & Ramirez-Marquez, Jose Emmanuel, 2019. "Visual analytics for identifying product disruptions and effects via social media," International Journal of Production Economics, Elsevier, vol. 208(C), pages 544-559.

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