IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-58823-0_1.html
   My bibliography  Save this book chapter

Introduction

In: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

Author

Listed:
  • Tadeusz Sawik

    (AGH University of Science and Technology)

Abstract

A typical global supply chainSupply chain global in modern industry is a network of multiple part suppliers at different geographical locations and multiple production plants and distribution centers, where supplied parts are assembled into finished products and next distributed to customers. Figure 1.1 shows a schematic diagram of a supply chain network, Supply chain network where each vertical level (suppliers, producers, distribution centers, customers) is called an echelon, and the arcs represent material flows. In order to achieve a high customer service level at a low cost, a variety of complex, interconnected decision-making problems should be solved. The decision-making problems are strictly associated with the control and optimization of material flows (as well as financial and information flows) in the network, in particular, optimization of disrupted flows.

Suggested Citation

  • Tadeusz Sawik, 2018. "Introduction," International Series in Operations Research & Management Science, in: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming, chapter 0, pages 1-12, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-58823-0_1
    DOI: 10.1007/978-3-319-58823-0_1
    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.

    More about this item

    Statistics

    Access and download statistics

    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:978-3-319-58823-0_1. 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.