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Risk assessment in multimodal supply chains

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  • Vilko, Jyri P.P.
  • Hallikas, Jukka M.

Abstract

Complexity and disintegration are emerging as major challenges in supply-chain risk management. It has become more difficult to identify risks as supply-chain operations have fallen into the hands of outside service providers, and are therefore less visible. The risks, their identification and impact depend on the position of the companies in the chain, and on the level of analysis they can carry out. In this paper we present preliminary research concepts and findings concerning the identification and analysis of risks in multimodal supply chains. Our research approach is holistic, and incorporates perspectives from different parts of the chain. The multimodal maritime supply chain in focus runs from the Gulf of Finland to the Finnish mainland. We map the process and the structure, and present a new framework for categorizing the risks in terms of their driver factors in order to assess the overall impact on the performance of the supply chain. Finally, we analyze the risk impacts in terms of delays in the chain by means of Monte-Carlo-based simulation.

Suggested Citation

  • Vilko, Jyri P.P. & Hallikas, Jukka M., 2012. "Risk assessment in multimodal supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 586-595.
    • Handle: RePEc:eee:proeco:v:140:y:2012:i:2:p:586-595
    DOI: 10.1016/j.ijpe.2011.09.010
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    9. Muhammad Ilyas & Zhihong Jin & Irfan Ullah & Abbas Agha Jafri, 2023. "Investigation of Risk Factors Influencing the Safety of Maritime Containers Supply Chain: In the Period of the Pandemic," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    10. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
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    15. Baştuğ, Sedat & Yercan, Funda, 2021. "An explanatory approach to assess resilience: An evaluation of competitive priorities for logistics organizations," Transport Policy, Elsevier, vol. 103(C), pages 156-166.
    16. Balliauw, Matteo & Kort, Peter M. & Zhang, Anming, 2019. "Capacity investment decisions of two competing ports under uncertainty: A strategic real options approach," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 249-264.
    17. Satyendra Kumar Sharma & Praveen Ranjan Srivastava & Ajay Kumar & Anil Jindal & Shivam Gupta, 2023. "Supply chain vulnerability assessment for manufacturing industry," Annals of Operations Research, Springer, vol. 326(2), pages 653-683, July.
    18. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Qu, Zhuohua & Yang, Zaili, 2019. "An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 222-240.
    19. Bodendorf, Frank & Sauter, Maximilian & Franke, Jörg, 2023. "A mixed methods approach to analyze and predict supply disruptions by combining causal inference and deep learning," International Journal of Production Economics, Elsevier, vol. 256(C).
    20. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    21. Herbon, Avi & Tsadikovich, Dmitry, 2023. "An efficient entropy-based stopping rule for mitigating risk factors in supply nets," International Journal of Production Economics, Elsevier, vol. 260(C).
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    23. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.

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