IDEAS home Printed from https://ideas.repec.org/a/ids/ijpmbe/v7y2017i1p38-58.html
   My bibliography  Save this article

A new robust model for location-inventory in three echelon supply chain with uncertain demand in small and medium business enterprises

Author

Listed:
  • Nafiseh Aghabozorgi
  • Mahdi Alinaghian
  • Seyed Mojtaba Sajadi

Abstract

Today, with changing patterns of production and services competition, independent companies are faced with competition between supply chains. Most of the small and medium businesses (SMEs) are still used to the traditional supply planning, production and distribution. It means, each of these SMEs plan independently for their activities, in most cases, this will increase the cost of the whole supply chain. In this study, we present a robust model of location, inventory in three-echelon supply chain under uncertainty. Model has been considered in single-period, multi-product, multi-mode transportation with three level producers - distributors-retailers in certain and robust mode. The innovation of this article are considering multi-mode transportation, rousting the model and sending the goods directly from the factory to the retailer. The objective of the proposed model is minimising the total cost of the three-echelon supply chain. The certain model is solved by GAMS and robust model is solved by GAMS and augmented ε-constraint method.

Suggested Citation

  • Nafiseh Aghabozorgi & Mahdi Alinaghian & Seyed Mojtaba Sajadi, 2017. "A new robust model for location-inventory in three echelon supply chain with uncertain demand in small and medium business enterprises," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 7(1), pages 38-58.
    • Handle: RePEc:ids:ijpmbe:v:7:y:2017:i:1:p:38-58
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=80938
    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:ijpmbe:v:7:y:2017:i:1:p:38-58. 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=95 .

    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.