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Supply chain risk at simultaneous robust perturbations

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  • Bogataj, D.
  • Aver, B.
  • Bogataj, M.

Abstract

The focus of this paper is the risk management of total supply chains by identifying the risk drivers that could appear simultaneously, and the determination of their common denominator to mitigate supply chain risk using the Net Present Value (NPV) approach in Extended Material Requirements Planning (Extended MRP) models. Any risk driver that is likely to disrupt the procurement, production, transportation, warehousing, delivery or financing of a good or service constitutes a realisation of supply chain risk. Risk drivers often appear simultaneously. It is imperative, therefore, that an a priori assessment of the risk drivers that pose risk to the global supply chain is undertaken and that contingency plans are developed at every level to monitor and mitigate these risks, even when they appear simultaneously. To avoid the ruin of a supply chain we must ensure the availability of adequate funds in conjunction with safety stock. Therefore, the risk-mitigation approach pursued in our paper follows from our conviction that money is the stock of purchasing power of any activity cell in a global supply chain that could influence the perturbation of material flows—on many stages simultaneously. In the paper, we provide a method appropriate for preventing the long-term disruption of a supply chain with probability determined in advance.

Suggested Citation

  • Bogataj, D. & Aver, B. & Bogataj, M., 2016. "Supply chain risk at simultaneous robust perturbations," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 68-78.
  • Handle: RePEc:eee:proeco:v:181:y:2016:i:pa:p:68-78
    DOI: 10.1016/j.ijpe.2015.09.009
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    1. ManMohan S. Sodhi & Christopher S. Tang, 2012. "Supply Chain Risk Management," International Series in Operations Research & Management Science, in: Managing Supply Chain Risk, edition 127, chapter 0, pages 3-11, Springer.
    2. Borgonovo, E. & Peccati, L., 2009. "Financial management in inventory problems: Risk averse vs risk neutral policies," International Journal of Production Economics, Elsevier, vol. 118(1), pages 233-242, March.
    3. Trkman, Peter & McCormack, Kevin, 2009. "Supply chain risk in turbulent environments--A conceptual model for managing supply chain network risk," International Journal of Production Economics, Elsevier, vol. 119(2), pages 247-258, June.
    4. Bogataj, Marija & Grubbström, Robert W., 2013. "Transportation delays in reverse logistics," International Journal of Production Economics, Elsevier, vol. 143(2), pages 395-402.
    5. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    6. Tang, Christopher & Tomlin, Brian, 2008. "The power of flexibility for mitigating supply chain risks," International Journal of Production Economics, Elsevier, vol. 116(1), pages 12-27, November.
    7. Borgonovo, E. & Peccati, L., 2004. "Sensitivity analysis in investment project evaluation," International Journal of Production Economics, Elsevier, vol. 90(1), pages 17-25, July.
    8. Bogataj, Marija & Grubbström, Robert W., 2012. "On the representation of timing for different structures within MRP theory," International Journal of Production Economics, Elsevier, vol. 140(2), pages 749-755.
    9. Tanju Yorulmazer, 2014. "Case studies on disruptions during the crisis," Economic Policy Review, Federal Reserve Bank of New York, issue Feb, pages 17-28.
    10. Bogataj, David & Bogataj, Marija, 2007. "Measuring the supply chain risk and vulnerability in frequency space," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 291-301, July.
    11. Nickel, Stefan & Saldanha-da-Gama, Francisco & Ziegler, Hans-Peter, 2012. "A multi-stage stochastic supply network design problem with financial decisions and risk management," Omega, Elsevier, vol. 40(5), pages 511-524.
    12. Wuttke, David A. & Blome, Constantin & Henke, Michael, 2013. "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management," International Journal of Production Economics, Elsevier, vol. 145(2), pages 773-789.
    13. M S Sodhi & S Lee, 2007. "An analysis of sources of risk in the consumer electronics industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1430-1439, November.
    14. WUTTKE, David A & BLOME, Constantin & HENKE, Michael, 2013. "Focusing the financial flow of supply chains: an empirical investigation of financial supply chain management," LIDAM Reprints CORE 2601, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Borgonovo, E. & Peccati, L., 2006. "Uncertainty and global sensitivity analysis in the evaluation of investment projects," International Journal of Production Economics, Elsevier, vol. 104(1), pages 62-73, November.
    16. Kevin B. Hendricks & Vinod R. Singhal, 2005. "Association Between Supply Chain Glitches and Operating Performance," Management Science, INFORMS, vol. 51(5), pages 695-711, May.
    17. Oke, Adegoke & Gopalakrishnan, Mohan, 2009. "Managing disruptions in supply chains: A case study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 118(1), pages 168-174, March.
    18. Bogataj, Marija & Grubbström, Robert W. & Bogataj, Ludvik, 2011. "Efficient location of industrial activity cells in a global supply chain," International Journal of Production Economics, Elsevier, vol. 133(1), pages 243-250, September.
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    Cited by:

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    2. Bogataj, David & Bogataj, Marija & Drobne, Samo, 2019. "Interactions between flows of human resources in functional regions and flows of inventories in dynamic processes of global supply chains," International Journal of Production Economics, Elsevier, vol. 209(C), pages 215-225.
    3. Fan, Huan & Li, Gang & Sun, Hongyi & Cheng, T.C.E., 2017. "An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences," International Journal of Production Economics, Elsevier, vol. 185(C), pages 63-75.
    4. Campuzano-Bolarín, Francisco & Marín-García, Fulgencio & Moreno-Nicolás, José Andrés & Bogataj, Marija & Bogataj, David, 2021. "Impacts of variable interest rates on the market areas of a spatial duopoly in supply chains operating on the finite horizon," International Journal of Production Economics, Elsevier, vol. 236(C).
    5. Francisco Campuzano-Bolarín & Fulgencio Marín-García & José Andrés Moreno-Nicolás & Marija Bogataj & David Bogataj, 2019. "Supply Chain Risk of Obsolescence at Simultaneous Robust Perturbations," Sustainability, MDPI, vol. 11(19), pages 1-18, October.
    6. Polo, Andrés & Peña, Numar & Muñoz, Dairo & Cañón, Adrián & Escobar, John Willmer, 2019. "Robust design of a closed-loop supply chain under uncertainty conditions integrating financial criteria," Omega, Elsevier, vol. 88(C), pages 110-132.
    7. 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.
    8. Bogataj, David & Battini, Daria & Calzavara, Martina & Persona, Alessandro, 2019. "The ageing workforce challenge: Investments in collaborative robots or contribution to pension schemes, from the multi-echelon perspective," International Journal of Production Economics, Elsevier, vol. 210(C), pages 97-106.
    9. Gonçalves, João N.C. & Sameiro Carvalho, M. & Cortez, Paulo, 2020. "Operations research models and methods for safety stock determination: A review," Operations Research Perspectives, Elsevier, vol. 7(C).

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