IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-642-24142-0_3.html
   My bibliography  Save this book chapter

A Queuing Network Based Framework for PCS Engineering

In: Engineering Production Control Strategies

Author

Listed:
  • Christoph Karrer

    (McKinsey & Company, Inc.)

Abstract

In order to develop a framework for PCS engineering, the relevant drivers that influence PCS design need to be elicited first. Two main driver categories can be identified: structure-based drivers and variability-based drivers. Structure-based drivers (1) stem from the static production setup, whereas variability-based drivers (2) stem from the dynamic behavior of the production system. Variability-based drivers can be further separated according to the source of the variability into drivers resulting from production system variability (2a) and drivers resulting from demand variability (2b). Drivers based on production system variability have their origin within the production system or its inputs. Drivers based on demand variability have their origin at the customer. Table 3.1 illustrates this split and gives concrete examples for each driver category.

Suggested Citation

  • Christoph Karrer, 2011. "A Queuing Network Based Framework for PCS Engineering," Management for Professionals, in: Engineering Production Control Strategies, edition 127, chapter 0, pages 37-57, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-642-24142-0_3
    DOI: 10.1007/978-3-642-24142-0_3
    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:mgmchp:978-3-642-24142-0_3. 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.