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The value of flexibility in mitigating supply chain transportation risks

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  • Roberta Pellegrino
  • Nicola Costantino
  • Danilo Tauro

Abstract

This paper investigates the value of the flexibility created by the transportation options in mitigating supply chain transportation risks. We accomplish this aim by developing an innovative computational model which uses the Real Option Valuation method to model the inner flexibility mechanism of the transportation options to choose between the Safety Net carrier and the spot market carrier on the basis of the actual conditions of the spot market (price, service level, and required transportation capacity), which is the foundation of the mitigation capability of transportation options. Through the case of a real supply chain of a large Fortune 100 multinational leader in the Fast Mover Consumer Goods (FMCG) industry, we also investigate the implications of a transportation options response in case of several sources of uncertainties, namely transportation capacity shortage, price volatility and service level reliability. Findings of the application support the understanding of which conditions increase the value of flexibility of the transportation options and how much flexibility is attractive given the initial sunk cost to acquire it.

Suggested Citation

  • Roberta Pellegrino & Nicola Costantino & Danilo Tauro, 2021. "The value of flexibility in mitigating supply chain transportation risks," International Journal of Production Research, Taylor & Francis Journals, vol. 59(20), pages 6252-6269, October.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:20:p:6252-6269
    DOI: 10.1080/00207543.2020.1811417
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    Cited by:

    1. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    2. Muhamad Deni Johansyah & Sundarapandian Vaidyanathan & Aceng Sambas & Khaled Benkouider & Seyed Mohammad Hamidzadeh & Monika Hidayanti, 2024. "Dynamical Analysis and Sliding Mode Controller for the New 4D Chaotic Supply Chain Model Based on the Product Received by the Customer," Mathematics, MDPI, vol. 12(13), pages 1-21, June.

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