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Procurement decisions and information sharing under multi-tier disruption risk in a supply chain

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  • Jiho Yoon
  • Srinivas Talluri
  • Claudia Rosales

Abstract

We consider a manufacturer's procurement decision in a three-tier supply chain (SC) under disruption risk. The manufacturer sources components from a single first-tier supplier (FT). The FT, in turn, sources raw materials from a single second-tier supplier (ST). Suppliers in both tiers are unreliable, i.e. prone to disruption risk. Increasing SC visibility through information sharing is a potential disruption management strategy for the manufacturer. While the manufacturer can obtain disruption risk information for the FT, disruption risk information for the ST is not easily accessible to the manufacturer except through the FT, who may not be willing to share ST information. We study different mechanisms under which the manufacturer can obtain ST information, and its impact on manufacturer's and FT's decisions and potential profits. We show that information sharing makes the manufacturer's procurement decisions more conservative, i.e. carrying more inventories, but the FT's procurement decision is contingent on the ST's reliability; more proactive (conservative) when ST is unreliable (reliable), i.e. carrying less (more) inventories. We demonstrate that there are two ways to induce the FT to share its information, and numerically show that their effectiveness is contingent on multiple factors, including FT and ST reliabilities and information sharing costs.

Suggested Citation

  • Jiho Yoon & Srinivas Talluri & Claudia Rosales, 2020. "Procurement decisions and information sharing under multi-tier disruption risk in a supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1362-1383, March.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1362-1383
    DOI: 10.1080/00207543.2019.1634296
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    Cited by:

    1. Veronica Scuotto & Tachia Chin & Alberto Pezzi & Marco Pironti, 2022. "CSR best practices for global multiā€tier sustainable supply chain integration of Chinese MNEs," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(6), pages 2038-2052, November.
    2. Taleizadeh, Ata Allah & Tafakkori, Keivan & Thaichon, Park, 2021. "Resilience toward supply disruptions: A stochastic inventory control model with partial backordering under the base stock policy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    3. Hannan Amoozad Mahdiraji & Aliasghar Abbasi Kamardi & Moein Beheshti & Seyed Hossein Razavi Hajiagha & Luis Rocha-Lona, 2022. "Analysing supply chain coordination mechanisms dealing with repurposing challenges during Covid-19 pandemic in an emerging economy: a multi-layer decision making approach," Operations Management Research, Springer, vol. 15(3), pages 1341-1360, December.
    4. Cao, Yunzhi & Zhu, Xiaoyan & Yan, Houmin, 2022. "Data-driven Wasserstein distributionally robust mitigation and recovery against random supply chain disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    5. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    6. Ming-Xing Xu & Shu Li & Li-Lin Rao & Lei Zheng, 2023. "The Relationship between Distance and Risk Perception in Multi-Tier Supply Chain: The Psychological Typhoon Eye Effect," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
    7. Avinadav, Tal & Chernonog, Tatyana & Meilijson, Isaac & Perlman, Yael, 2022. "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, Elsevier, vol. 243(C).
    8. Li, Guo & Liu, Mengqi & Zheng, Hong, 2022. "Subsidization or Diversification? Mitigating Supply Disruption with Manufacturer Information Sharing," Omega, Elsevier, vol. 112(C).

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