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A multi-objective approach to supply chain risk management: Integrating visibility with supply and demand risk

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  • Nooraie, S. Vahid
  • Mellat Parast, Mahour

Abstract

This paper investigates the relationship among supply chain visibility (SCV), supply chain risk (SCR), and supply chain cost of new and seasonal products. We assume that demand is probabilistic and comes from different scenarios such as forecasting, benchmarking, and market analysis data. For utilizing multi-attribute decision modeling, we build a model to maximize SCV and minimize both SCR and supply chain cost from an operational perspective. A heuristic algorithm based on a relaxation method on decision variables is proposed to solve an NP-hard model, and to show how a multi-objective approach provides near-optimum solutions. The results show that more visibility is desirable, because it increases efficiency in a supply chain and decreases both cost and risk.

Suggested Citation

  • Nooraie, S. Vahid & Mellat Parast, Mahour, 2015. "A multi-objective approach to supply chain risk management: Integrating visibility with supply and demand risk," International Journal of Production Economics, Elsevier, vol. 161(C), pages 192-200.
    • Handle: RePEc:eee:proeco:v:161:y:2015:i:c:p:192-200
    DOI: 10.1016/j.ijpe.2014.12.024
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    References listed on IDEAS

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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. M. Narenji & S.M.T. Fatemi Ghomi & S.V.R. Nooraie, 2011. "Grouping in decomposition method for multi-item capacitated lot-sizing problem with immediate lost sales and joint and item-dependent setup cost," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(3), pages 489-498.
    3. Ouyang, Yanfeng, 2007. "The effect of information sharing on supply chain stability and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1107-1121, November.
    4. Hing-Ling Lau, Amy & Lau, Hon-Shiang & Willett, Keith D., 2000. "Demand uncertainty and returns policies for a seasonal product: An alternative model," International Journal of Production Economics, Elsevier, vol. 66(1), pages 1-12, June.
    5. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    6. Zhou, Wei, 2009. "RFID and item-level information visibility," European Journal of Operational Research, Elsevier, vol. 198(1), pages 252-258, October.
    7. B Ritchie & C Brindley, 2007. "An emergent framework for supply chain risk management and performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1398-1411, November.
    8. Yu, Min-Chun & Goh, Mark, 2014. "A multi-objective approach to supply chain visibility and risk," European Journal of Operational Research, Elsevier, vol. 233(1), pages 125-130.
    9. Umang, Nitish & Bierlaire, Michel & Vacca, Ilaria, 2013. "Exact and heuristic methods to solve the berth allocation problem in bulk ports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 54(C), pages 14-31.
    10. 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.
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