IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-0-387-79934-6_4.html
   My bibliography  Save this book chapter

Predicting and Managing Supply Chain Risks

In: Supply Chain Risk

Author

Listed:
  • Samir Dani

    (Loughborough University)

Abstract

Since the start of the new century the world at large has experienced escalating uncertainty as a result of climate changes, epidemics, terrorist threats and an increasing amount of economic upheaval. These uncertainties create risks for the proper functioning of supply chains. This chapter provides an insight into developing a proactive approach to predict risks and manage uncertainties that may potentially disrupt the supply chain. The aim of the chapter is to present a holistic perspective regarding supply chain risk management and incorporate a methodology to manage supply chain risks proactively. When discussing supply chain risk issues with industry personnel it was noticed that post 9/11, the issue of supply disruption had gained importance within the industry. But the focus on managing these disruptions and sources of these disruptions has been primarily reactive. Supply chain personnel in some instances have remarked that they have in the past researched and presented to their top management proactive risk management solutions which had been subsequently rejected and no investment provided. There is now, however, an increasing interest regarding proactive tools and hence this chapter seeks to present a framework for implementing proactive risk management. The chapter also suggests some tools which may prove useful in predicting supply chain risks.

Suggested Citation

  • Samir Dani, 2009. "Predicting and Managing Supply Chain Risks," International Series in Operations Research & Management Science, in: George A. Zsidisin & Bob Ritchie (ed.), Supply Chain Risk, chapter 4, pages 53-66, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-79934-6_4
    DOI: 10.1007/978-0-387-79934-6_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. da Cunha, Richard Alex & Rangel, Luís Alberto Duncan & Rudolf, Christian A. & Santos, Luiza dos, 2022. "A decision support approach employing the PROMETHEE method and risk factors for critical supply assessment in large-scale projects," Operations Research Perspectives, Elsevier, vol. 9(C).
    2. Vlajic, Jelena V. & van der Vorst, Jack G.A.J. & Haijema, René, 2012. "A framework for designing robust food supply chains," International Journal of Production Economics, Elsevier, vol. 137(1), pages 176-189.
    3. Guertler, Benjamin & Spinler, Stefan, 2015. "Supply risk interrelationships and the derivation of key supply risk indicators," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 224-236.
    4. Bertrand Baud-Lavigne & Samuel Bassetto & Bruno Agard, 2016. "A method for a robust optimization of joint product and supply chain design," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 741-749, August.
    5. Meike Schroeder & Sebastian Lodemann, 2021. "A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management," Logistics, MDPI, vol. 5(3), pages 1-17, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-0-387-79934-6_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.