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Supply chain risk prioritisation using a hybrid AHP and PROMETHEE approach

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  • S. Prasanna Venkatesan
  • S. Kumanan

Abstract

Supply chain is a network of facilities designed to procure, produce, and distribute goods to customers at right quantities, to the right locations and at the right time. Supply chain studies are focused for improving the operational efficiency through cost reduction. In recent years, supply chains have become increasingly vulnerable to risks resulting in poor financial performance and customer service. Managing the supply chain risks is a challenging task. Resilience and responsiveness-based strategies are being attempted to build a robust supply chain. To select and evaluate the appropriate mitigation strategies, supply chain risks are to be prioritised. Supply chain risk prioritisation is a multi criteria decision making (MCDM) problem. Developing the MCDM models for supply chain risk prioritisation need attention. In this research a hybrid analytic hierarch process (AHP) and preference ranking organisation method for enrichment evaluation (PROMETHEE) approach is proposed for supply chain risk prioritisation. A case example of a typical plastic industry is presented to illustrate the performance of the proposed approach.

Suggested Citation

  • S. Prasanna Venkatesan & S. Kumanan, 2012. "Supply chain risk prioritisation using a hybrid AHP and PROMETHEE approach," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 13(1), pages 19-41.
    • Handle: RePEc:ids:ijsoma:v:13:y:2012:i:1:p:19-41
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    Citations

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    Cited by:

    1. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    2. Niloofar Etemadi & Pieter Van Gelder & Fernanda Strozzi, 2021. "An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity," Sustainability, MDPI, vol. 13(9), pages 1-28, April.
    3. Jung-Yu Lai & Juite Wang & Yi-Hsuan Chiu, 2021. "Evaluating blockchain technology for reducing supply chain risks," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1089-1111, December.
    4. Ghadimi, Pezhman & Donnelly, Oisin & Sar, Kubra & Wang, Chao & Azadnia, Amir Hossein, 2022. "The successful implementation of industry 4.0 in manufacturing: An analysis and prioritization of risks in Irish industry," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. 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.

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