IDEAS home Printed from https://ideas.repec.org/a/ids/ijrevm/v5y2011i2-3p157-204.html
   My bibliography  Save this article

Risk management in supply chains

Author

Listed:
  • Jun Wu
  • Jian Li
  • Jia Chen
  • Yingxue Zhao
  • Shouyang Wang

Abstract

Risk management has become an essential tool in dealing with the risk issues in supply chains. The purpose of this paper lies in surveying the applications of risk management to supply chains and reviewing the existing literature. To achieve the above purpose, some representative works are selected for demonstrating the application of various risk management tools in supply chains. The numerous literatures in this field are classified into three categories, i.e. risk analysis of supply chain models, disruption management and financial risk measurement. Throughout this paper, some representative models are selected and their relationships and distinctions are analysed and compared.

Suggested Citation

  • Jun Wu & Jian Li & Jia Chen & Yingxue Zhao & Shouyang Wang, 2011. "Risk management in supply chains," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 5(2/3), pages 157-204.
    • Handle: RePEc:ids:ijrevm:v:5:y:2011:i:2/3:p:157-204
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=40307
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Zhi Chen & Weijun Xie, 2021. "Regret in the Newsvendor Model with Demand and Yield Randomness," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4176-4197, November.
    2. Zheng, Rui & Shou, Biying & Yang, Jun, 2021. "Supply disruption management under consumer panic buying and social learning effects," Omega, Elsevier, vol. 101(C).
    3. Michael K. Lim & Achal Bassamboo & Sunil Chopra & Mark S. Daskin, 2013. "Facility Location Decisions with Random Disruptions and Imperfect Estimation," Manufacturing & Service Operations Management, INFORMS, vol. 15(2), pages 239-249, May.
    4. Christopher S. Tang & S. Alex Yang & Jing Wu, 2018. "Sourcing from Suppliers with Financial Constraints and Performance Risk," Manufacturing & Service Operations Management, INFORMS, vol. 20(1), pages 70-84, February.
    5. Mizgier, Kamil J. & Hora, Manpreet & Wagner, Stephan M. & Jüttner, Matthias P., 2015. "Managing operational disruptions through capital adequacy and process improvement," European Journal of Operational Research, Elsevier, vol. 245(1), pages 320-332.
    6. Bayer, Frank & Bioly, Sascha, 2014. "Supply Chain Risk Management in der Industrie - am Beispiel der Metall- und Elektroindustrie," ild Schriftenreihe 41, FOM Hochschule für Oekonomie & Management, Institut für Logistik- & Dienstleistungsmanagement (ild).
    7. Baozhuang Niu & Kanglin Chen & Lei Chen & Chao Ding & Xiaohang Yue, 2021. "Strategic Waiting for Disruption Forecasts in Cross‐Border E‐Commerce Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2840-2857, September.
    8. Haobin Li & Giulia Pedrielli & Loo Hay Lee & Ek Peng Chew, 2017. "Enhancement of supply chain resilience through inter-echelon information sharing," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 260-285, June.
    9. Li, Yongjian & Zhen, Xueping & Qi, Xiangtong & Cai, Gangshu (George), 2016. "Penalty and financial assistance in a supply chain with supply disruption," Omega, Elsevier, vol. 61(C), pages 167-181.
    10. Zhibin (Ben) Yang & Volodymyr Babich, 2015. "Does a Procurement Service Provider Generate Value for the Buyer Through Information About Supply Risks?," Management Science, INFORMS, vol. 61(5), pages 979-998, May.
    11. Erjie Ang & Dan A. Iancu & Robert Swinney, 2017. "Disruption Risk and Optimal Sourcing in Multitier Supply Networks," Management Science, INFORMS, vol. 63(8), pages 2397-2419, August.
    12. Gökçe Esenduran & John V. Gray & Burcu Tan, 2022. "A Dynamic Analysis of Supply Chain Risk Management and Extended Payment Terms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1394-1417, March.
    13. Zhu, Stuart X., 2013. "Dynamic replenishment, production, and pricing decisions, in the face of supply disruption and random price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 146(2), pages 612-619.

    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:ids:ijrevm:v:5:y:2011:i:2/3:p:157-204. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=99 .

    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.