IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-24294-6_4.html
   My bibliography  Save this book chapter

Towards a Fitting Representation Method for Redesign Evaluation and Cost-Based Optimization

In: Operational Research in the Era of Digital Transformation and Business Analytics

Author

Listed:
  • George Tsakalidis

    (University of Macedonia)

  • Nikolaos Nousias

    (University of Macedonia)

  • Kostas Vergidis

    (University of Macedonia)

Abstract

The prospect of continuously modifying and improving the various business operations played a central role in the evolution of the concept of business processes (BPs). As a consequence, Business Process Redesign (BPR) emerged as a vital practice in the Business Process Management (BPM) discipline and is embodied in most BPM lifecycle models. So far, only a few BPR initiatives investigate how the improvement process can be methodically supported and what is also overlooked is the a priori evaluation of BPR impact. In this paper the authors present the representation phase of the Business Process Redesign Capacity Assessment (BP-RCA) framework and how this phase is formulated for a cost-based optimization technique. In this context, the authors elaborate on a fitting representation method that combines the established Business Process Model and Notation (BPMN2.0) standard and an adapted graph-based structure, initially designed for agent concepts. The method incorporates: (a) the necessary elements for capturing the execution logic, (b) the information for measuring performance and (c) the model constraints that affect redesign. Through applying the representation method to BP models from literature, the authors intend to showcase its usability and the fact that it is amenable to cost-based optimization techniques. By applying the representation, a practitioner is assisted towards a more straightforward calculation of complexity metrics that indicate the applicability of BPR. In this sense, the application of the proposed method is a fundamental feature of the BP-RCA and is essential for redesign decision making at an earlier-than-runtime stage.

Suggested Citation

  • George Tsakalidis & Nikolaos Nousias & Kostas Vergidis, 2023. "Towards a Fitting Representation Method for Redesign Evaluation and Cost-Based Optimization," Springer Proceedings in Business and Economics, in: Nikolaos F. Matsatsinis & Fotis C. Kitsios & Michael A. Madas & Maria I. Kamariotou (ed.), Operational Research in the Era of Digital Transformation and Business Analytics, pages 29-37, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-24294-6_4
    DOI: 10.1007/978-3-031-24294-6_4
    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:978-3-031-24294-6_4. 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.