IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-0-387-88617-6_1.html
   My bibliography  Save this book chapter

Challenges in Enterprise Wide Optimization for the Process Industries

In: Optimization and Logistics Challenges in the Enterprise

Author

Listed:
  • Ignacio E. Grossmann

    (Carnegie Mellon University)

  • Kevin C. Furman

    (Corporate Strategic Research ExxonMobil Research & Engineering)

Abstract

Summary Enterprisewide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations research, and has become a major goal in the process industries due to the increasing pressures for remaining competitive in the global marketplace. EWO involves optimizing the operations of supply, manufacturing, and distribution activities of a company to reduce costs and inventories. A major focus in EWO is the optimal operation of manufacturing facilities, which often requires the use of nonlinear process models. Major operational items include planning, scheduling, real-time optimization, and inventory control. This chapter provides an overview of major challenges in the development of deterministic and stochastic linear/nonlinear optimization models and algorithms for the optimization of entire supply chains that are involved in EWO problems. We specifically review three major challenges: (a) modeling of planning and scheduling, (b) multiscale optimization, and (c) handling of uncertainties. Finally, we also discuss briefly the algorithmic methods and tools that are required for tackling these problems, and we conclude with future research needs in this area.

Suggested Citation

  • Ignacio E. Grossmann & Kevin C. Furman, 2009. "Challenges in Enterprise Wide Optimization for the Process Industries," Springer Optimization and Its Applications, in: Wanpracha Chaovalitwongse & Kevin C. Furman & Panos M. Pardalos (ed.), Optimization and Logistics Challenges in the Enterprise, pages 3-59, Springer.
  • Handle: RePEc:spr:spochp:978-0-387-88617-6_1
    DOI: 10.1007/978-0-387-88617-6_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.

    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:spochp:978-0-387-88617-6_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.