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Comparing supply chain risks for multiple product categories with cognitive mapping and Analytic Hierarchy Process

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  • Mital, Monika
  • Del Giudice, Manlio
  • Papa, Armando

Abstract

The risk management framework includes the practice of keeping safety stocks and safety lead time buffers. However, in today's high-tech and highly globalized world where competition is so fierce and paramount that managing and mitigating the risk by creating a more resilient supply chain has become indispensable for any organization. Assessing and managing the supply chain risks become very important in this context and one such risk assessing tool is Analytic Hierarchy Process (AHP). AHP supports managers in identifying the risk indicators, assessing the impact of undesired events and the varied cause and effect relationships along the chain, and thus prioritizing the objectives of the supply chain, hence arriving at the selection of the best supplier from various alternatives. Thus, the objective of this paper is to identify and assess supply chain risk across multiple product categories using cognitive maps and Analytic Hierarchy Process (AHP) methodology.

Suggested Citation

  • Mital, Monika & Del Giudice, Manlio & Papa, Armando, 2018. "Comparing supply chain risks for multiple product categories with cognitive mapping and Analytic Hierarchy Process," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 159-170.
    • Handle: RePEc:eee:tefoso:v:131:y:2018:i:c:p:159-170
    DOI: 10.1016/j.techfore.2017.05.036
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    5. 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.
    6. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    7. 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.
    8. Ali Pedram & Shahryar Sorooshian & Freselam Mulubrhan & Afshin Abbaspour, 2023. "Incorporating Vehicle-Routing Problems into a Closed-Loop Supply Chain Network Using a Mixed-Integer Linear-Programming Model," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    9. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    10. Orlando, Beatrice & Tortora, Debora & Pezzi, Alberto & Bitbol-Saba, Nathalie, 2022. "The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak," Journal of International Management, Elsevier, vol. 28(1).
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