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A design method for supply chain traceability systems with aligned interests

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  • Dai, Hongyan
  • Ge, Ling
  • Zhou, Weihua

Abstract

Supply chain traceability systems are valuable for managing product safety, product recall, reverse logistics, etc. Designing a traceability system that is efficient and effective at system level, while still motivating individual chain parties to participate is, however, a rather challenging task. In this paper, we propose a new design approach that adapts the Axiomatic design method to incorporate operations management insights. Our theoretical contributions lie in the following aspects: (1) identifying implementable design parameters through a zigzagging decomposition process, (2) quantifying the relationship between design parameters and system economics using rigorous models, (3) aligning individual interest by decoupling the design matrix using the Independence Axiom. Two decoupling approaches for traceability system design are proposed – rebuilding the relationship in the design matrix via cost reallocation, and organizing interest-aligned subsystems via grouping related players. Furthermore, we validate the proposed method with a numerical design example, which shows that the proposed method delivers better performance than traditional ones. Our theoretical and numerical results establish that the proposed method can optimize the traceability chain as a whole while keep self-interested chain parties motivated. Such designs can facilitate wide adoption of traceability systems.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:proeco:v:170:y:2015:i:pa:p:14-24
    DOI: 10.1016/j.ijpe.2015.08.010
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    Cited by:

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    2. 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).
    3. Zhou, Xiongyong & Xu, Zhiduan, 2022. "Traceability in food supply chains: a systematic literature review and future research directions," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    4. Zhi-Ping Fan & Xue-Yan Wu & Bing-Bing Cao, 2022. "Considering the traceability awareness of consumers: should the supply chain adopt the blockchain technology?," Annals of Operations Research, Springer, vol. 309(2), pages 837-860, February.
    5. Saak, Alexander E., 2016. "Traceability and reputation in supply chains," International Journal of Production Economics, Elsevier, vol. 177(C), pages 149-162.
    6. Xiongyong Zhou & Madeleine Pullman & Zhiduan Xu, 2022. "The impact of food supply chain traceability on sustainability performance," Operations Management Research, Springer, vol. 15(1), pages 93-115, June.
    7. Liu, Hengyu, 2022. "Combating unethical producer behavior: The value of traceability in produce supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).
    8. Biswas, Debajyoti & Jalali, Hamed & Ansaripoor, Amir H. & De Giovanni, Pietro, 2023. "Traceability vs. sustainability in supply chains: The implications of blockchain," European Journal of Operational Research, Elsevier, vol. 305(1), pages 128-147.
    9. 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).
    10. Ronaldo Brito da Silva & Claudia Aparecida de Mattos, 2019. "Critical Success Factors of a Drug Traceability System for Creating Value in a Pharmaceutical Supply Chain (PSC)," IJERPH, MDPI, vol. 16(11), pages 1-18, June.

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