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An integrated approach to supply chain risk analysis

Author

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  • Anna Corinna Cagliano
  • Alberto De Marco
  • Sabrina Grimaldi
  • Carlo Rafele

Abstract

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies' awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processes.

Suggested Citation

  • Anna Corinna Cagliano & Alberto De Marco & Sabrina Grimaldi & Carlo Rafele, 2012. "An integrated approach to supply chain risk analysis," Journal of Risk Research, Taylor & Francis Journals, vol. 15(7), pages 817-840, August.
  • Handle: RePEc:taf:jriskr:v:15:y:2012:i:7:p:817-840
    DOI: 10.1080/13669877.2012.666757
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    References listed on IDEAS

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    1. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, December.
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    1. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    2. Shafiee, Mohammad & Zare-Mehrjerdi, Yahia & Govindan, Kannan & Dastgoshade, Sohaib, 2022. "A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    3. Shubham Gupta & Raghav Khanna & Pranay Kohli & Sarthak Agnihotri & Umang Soni & M. Asjad, 2023. "Risk evaluation of electric vehicle charging infrastructure using Fuzzy AHP – a case study in India," Operations Management Research, Springer, vol. 16(1), pages 245-258, March.
    4. Nikelowski, Lukas & Voss, Rika, 2021. "Approach for application-specific selection of risk assessment methods," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 853-877, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Raquel Sanchis & Raúl Poler, 2019. "Enterprise Resilience Assessment—A Quantitative Approach," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
    6. 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.
    7. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    8. Tetiana Zholonko & Olesia Grebinchuk & Maryna Bielikova & Yurii Kulynych & Olena Oviechkina, 2021. "Methodological Tools for Investment Risk Assessment for the Companies of Real Economy Sector," JRFM, MDPI, vol. 14(2), pages 1-10, February.
    9. Qingyou Yan & Meijuan Zhang & Wei Li & Guangyu Qin, 2020. "Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    10. Alex de Lima Teodoro da Penha & Samuel Vinícius Bonato & Joana Baleeiro Passos & Eduardo da Silva Fernandes & Cínthia Kulpa & Carla Schwengber ten Caten, 2024. "Navigating the Urgency: An Open Innovation Project of Protective Equipment Development from a Quadruple Helix Perspective," Sustainability, MDPI, vol. 16(4), pages 1-32, February.
    11. Amulya Gurtu & Jestin Johny, 2021. "Supply Chain Risk Management: Literature Review," Risks, MDPI, vol. 9(1), pages 1-16, January.
    12. 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.

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