IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-21165-2_6.html
   My bibliography  Save this book chapter

Reference Models to Empower MPE

In: High Performance Through Process Excellence

Author

Listed:
  • Mathias Kirchmer

    (Accenture
    University of Pennsylvania)

Abstract

Process design is a key phase of management of process excellence (MPE). The resulting blueprint is the basis for the implementation and the execution, as well as the monitoring and controlling of processes. The use of flexible execution environments, such as SOA, particularly requires business process models in high-quality syntactical and semantic formats. Ensuring such modeling quality can be very time consuming. The use of appropriate process-modeling tools and process templates that are adapted to company-specific requirements can help tremendously. The use of process templates increases the efficiency and effectiveness of that process design phase significantly. The process templates are generally called “business process reference models.”

Suggested Citation

  • Mathias Kirchmer, 2011. "Reference Models to Empower MPE," Springer Books, in: High Performance Through Process Excellence, chapter 0, pages 87-101, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-21165-2_6
    DOI: 10.1007/978-3-642-21165-2_6
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rok Rupnik & Damjan Vavpotič & Jurij Jaklič & Aleš Kuhar & Miroslav Plavšić & Boštjan Žvanut, 2021. "A Reference Standard Process Model for Agriculture to Facilitate Efficient Implementation and Adoption of Precision Agriculture," Agriculture, MDPI, vol. 11(12), pages 1-22, December.

    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:sprchp:978-3-642-21165-2_6. 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.