IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-77556-2_10.html
   My bibliography  Save this book chapter

Automated Processing of Planning Modules in Factory Planning by Means of Constraint Solving Using the Example of Production Segmentation

In: Customization 4.0

Author

Listed:
  • Julian Graefenstein

    (TU Dortmund, Chair of Enterprise Logistics)

  • David Scholz

    (TU Dortmund, Chair of Enterprise Logistics)

  • Oliver Seifert

    (TU Dortmund, Chair of Software Engineering)

  • Jan Winkels

    (TU Dortmund, Chair of Software Engineering)

  • Michael Henke

    (TU Dortmund, Chair of Enterprise Logistics)

  • Jakob Rehof

    (TU Dortmund, Chair of Software Engineering)

Abstract

For the adaption of factories, essential data are required as a basis in factory planning. Often these data are either stored in some form, at some location, or on some data medium, respectively, or are not available at all. Preparing these data for the planning process in a planning-appropriate manner can result in high effort. In order to counteract this situation, a data warehouse system can be used in the context of Business Intelligence for initially providing the data in a centralized and consistent form. The advantages of an up-to-date and consistent data base are shown by an example of the production segmentation. With the planning of the factory adaption by means of planning modules, which can be orchestrated individually, it is possible to process planning tasks automatically or partly automated. A given example of a vice production, which can be produced in four variants, was used to show the benefits and explain the approach in detail. Constraint solving, the modular planning process and the data available in the data warehouse enable the segmentation to be processed automatically and thus reduce planning time.

Suggested Citation

  • Julian Graefenstein & David Scholz & Oliver Seifert & Jan Winkels & Michael Henke & Jakob Rehof, 2018. "Automated Processing of Planning Modules in Factory Planning by Means of Constraint Solving Using the Example of Production Segmentation," Springer Proceedings in Business and Economics, in: Stephan Hankammer & Kjeld Nielsen & Frank T. Piller & Günther Schuh & Ning Wang (ed.), Customization 4.0, pages 157-172, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-77556-2_10
    DOI: 10.1007/978-3-319-77556-2_10
    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:prbchp:978-3-319-77556-2_10. 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.