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Building a mutually beneficial partnership to ensure backup supply

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  • Zeng, Amy Z.
  • Xia, Yu

Abstract

In today׳s complex global environment, it is very important for a firm to possess backup supply resource when facing unpredictable disruptions from its primary supply resource. To ensure the actual arrival of backup supply in cases of primary supply disruptions, a purchasing firm needs to work with its backup supplier to forge a strong partnership that not only protects itself, but also assures the backup supplier׳s economic benefit. In this research, we establish the structure of such a partnership based on real business practices. The interactions between the purchasing firm and the backup supplier are examined through a decision-tree approach that takes disruption situations at all levels into consideration. We then design the backup supply contract, find the Nash equilibrium contract parameters, and identify the critical conditions under which such a contractual partnership will be valuable. The contract parameters we find are functions of the moments of the demand distribution, which are independent of specific demand distributions and are easy to be estimated in practice. Our numerical tests support our theoretical results and demonstrate the robustness of the contract with respect to various demand distributions.

Suggested Citation

  • Zeng, Amy Z. & Xia, Yu, 2015. "Building a mutually beneficial partnership to ensure backup supply," Omega, Elsevier, vol. 52(C), pages 77-91.
    • Handle: RePEc:eee:jomega:v:52:y:2015:i:c:p:77-91
    DOI: 10.1016/j.omega.2014.10.008
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    Cited by:

    1. Sawik, Tadeusz, 2015. "On the fair optimization of cost and customer service level in a supply chain under disruption risks," Omega, Elsevier, vol. 53(C), pages 58-66.
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    3. Amin, Gholam R. & Ibn Boamah, Mustapha, 2023. "Modeling business partnerships: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 329-337.
    4. Merzifonluoglu, Yasemin, 2015. "Risk averse supply portfolio selection with supply, demand and spot market volatility," Omega, Elsevier, vol. 57(PA), pages 40-53.
    5. Sawik, Tadeusz, 2019. "Disruption mitigation and recovery in supply chains using portfolio approach," Omega, Elsevier, vol. 84(C), pages 232-248.
    6. Rajabzadeh, Hamed & Babazadeh, Reza, 2022. "A game-theoretic approach for power pricing in a resilient supply chain considering a dual channel biorefining structure and the hybrid power plant," Renewable Energy, Elsevier, vol. 198(C), pages 1082-1094.
    7. Papachristos, Ioannis & Pandelis, Dimitrios G., 2022. "Newsvendor models with random supply capacity and backup sourcing," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1231-1243.
    8. Pan, Wenting & So, Kut C. & Xiao, Guang, 2022. "Benefits of backup sourcing for components in assembly systems under supply uncertainty," European Journal of Operational Research, Elsevier, vol. 302(1), pages 158-171.
    9. Li, Yongjian & Zhen, Xueping & Qi, Xiangtong & Cai, Gangshu (George), 2016. "Penalty and financial assistance in a supply chain with supply disruption," Omega, Elsevier, vol. 61(C), pages 167-181.
    10. Sawik, Tadeusz, 2016. "Integrated supply, production and distribution scheduling under disruption risks," Omega, Elsevier, vol. 62(C), pages 131-144.
    11. Zhu, Xiaowei, 2016. "Managing the risks of outsourcing: Time, quality and correlated costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 121-133.
    12. Heese, H. Sebastian, 2015. "Single versus multiple sourcing and the evolution of bargaining positions," Omega, Elsevier, vol. 54(C), pages 125-133.

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