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The value of flexible backup suppliers and disruption risk information: newsvendor analysis with recourse

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  • Soroush Saghafian
  • Mark Van Oyen

Abstract

This article develops a model and analysis to provide insight into two effective remedies to increase supply chain resilience: (i) contracting with a secondary flexible backup supplier; and (ii) monitoring primary suppliers to obtain disruption risk information. To investigate the true value of these strategies, an analysis is performed under imperfect information concerning the disruption risks and considering a two-stage setting with recourse. In this setting, the firm first monitors its suppliers and then utilizes a recourse option subject to the limited quantity of a capacity reserved a priori via a contract with a flexible backup supplier. The firm’s jointly optimal behavior is analytically characterized (utilizing only the information available to the firm) regarding two interconnected decisions: (i) the advance capacity investment/reservation level with a flexible backup supplier; and (ii) the inventory ordering policy of the underlying products from both primary and backup suppliers. The presented results quantify effective disruption risk mitigation strategies for firms and provide managerial insights into the value of (i) a flexible backup supplier; (ii) disruption risk information; (iii) a contracted recourse option; and (iv) flexibility in the backup system.

Suggested Citation

  • Soroush Saghafian & Mark Van Oyen, 2012. "The value of flexible backup suppliers and disruption risk information: newsvendor analysis with recourse," IISE Transactions, Taylor & Francis Journals, vol. 44(10), pages 834-867.
    • Handle: RePEc:taf:uiiexx:v:44:y:2012:i:10:p:834-867
    DOI: 10.1080/0740817X.2012.654846
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    Citations

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    Cited by:

    1. Babai, M. Zied & Ivanov, Dmitry & Kwon, Oh Kang, 2023. "Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique," Omega, Elsevier, vol. 116(C).
    2. Shahrbanoo Rezaei & Iman Ghalehkhondabi & Majid Rafiee & Soudabeh Namdar Zanganeh, 2020. "Supplier selection and order allocation in CLSC configuration with various supply strategies under disruption risk," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 908-934, September.
    3. Bakal, İsmail Serdar & Bayındır, Z. Pelin & Emer, Deniz Esin, 2017. "Value of disruption information in an EOQ environment," European Journal of Operational Research, Elsevier, vol. 263(2), pages 446-460.
    4. Mehadi Mamun, 2023. "Supply Chain Risk Management in a Digital Era: Evidence from SMEs of Clothing Retailers in Australia," JRFM, MDPI, vol. 16(4), pages 1-11, April.
    5. Xiao Huang & Tamer Boyacı & Mehmet Gümüş & Saibal Ray & Dan Zhang, 2016. "United We Stand or Divided We Stand? Strategic Supplier Alliances Under Order Default Risk," Management Science, INFORMS, vol. 62(5), pages 1297-1315, May.
    6. Merzifonluoglu, Yasemin, 2015. "Risk averse supply portfolio selection with supply, demand and spot market volatility," Omega, Elsevier, vol. 57(PA), pages 40-53.
    7. Kelei Xue & Yongjian Li & Xueping Zhen & Wen Wang, 2020. "Managing the supply disruption risk: option contract or order commitment contract?," Annals of Operations Research, Springer, vol. 291(1), pages 985-1026, August.
    8. Lu Huang & Jing-Sheng Song & Jordan Tong, 2016. "Supply Chain Planning for Random Demand Surges: Reactive Capacity and Safety Stock," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 509-524, October.
    9. Merzifonluoglu, Yasemin, 2017. "Integrated demand and procurement portfolio management with spot market volatility and option contracts," European Journal of Operational Research, Elsevier, vol. 258(1), pages 181-192.
    10. 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.
    11. Soroush Saghafian & Mark P. Van Oyen, 2016. "Compensating for Dynamic Supply Disruptions: Backup Flexibility Design," Operations Research, INFORMS, vol. 64(2), pages 390-405, April.
    12. Yi Tao & Loo Hay Lee & Ek Peng Chew, 2016. "Quantifying the Effect of Sharing Information in a Supply Chain Facing Supply Disruptions," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(04), pages 1-28, August.
    13. Rana Azghandi & Jacqueline Griffin & Mohammad S. Jalali, 2018. "Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies," Complexity, Hindawi, vol. 2018, pages 1-14, December.
    14. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    15. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    16. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.

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