IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v36y2020i4p547-588.html
   My bibliography  Save this article

Methodology for robustness analysis to supply chain disruptions

Author

Listed:
  • Andrés Polo
  • Dairo Muñoz
  • Adrián Cañon
  • John Willmer Escobar

Abstract

The objective of this paper is to develop a dynamic mixed integer linear programming model (MILP) of analysis of robustness to supply chain disruptions. The proposed approach allows analysing different causes of disruptions for supply chains, and how these interruptions prevent the bottom-of-the-pyramid (BoP) organisations from fulfilling their purpose of eradicating poverty. Critical operational performance indicators were used to evaluate the impacts of interruptions at the beginning of the supply chain and their implications for the BoP organisations. We consider different types of disruptions that mainly affect the first links of the chain of the BoP. In addition, the proposed approach measured the impact of the demand satisfaction of final products for the same population. The efficiency of the proposed approach has been tested using real data obtained from a dairy supply chain management in Cundinamarca (Colombia). The obtained results show the benefits of the proposed model.

Suggested Citation

  • Andrés Polo & Dairo Muñoz & Adrián Cañon & John Willmer Escobar, 2020. "Methodology for robustness analysis to supply chain disruptions," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(4), pages 547-588.
    • Handle: RePEc:ids:ijlsma:v:36:y:2020:i:4:p:547-588
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=108952
    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.

    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:ijlsma:v:36:y:2020:i:4:p:547-588. 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=134 .

    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.