IDEAS home Printed from https://ideas.repec.org/a/wly/syseng/v23y2020i5p579-596.html
   My bibliography  Save this article

Assaying the importance of system complexity for the systems engineering community

Author

Listed:
  • Matthew W. Potts
  • Pia A. Sartor
  • Angus Johnson
  • Seth Bullock

Abstract

How should organizations approach the evaluation of system complexity at the early stages of system design in order to inform decision making? Since system complexity can be understood and approached in several different ways, such evaluation is challenging. In this study, we define the term “system complexity factors” to refer to a range of different aspects of system complexity that may contribute differentially to systems engineering outcomes. Views on the absolute and relative importance of these factors for early–life cycle system evaluation are collected and analyzed using a qualitative questionnaire of International Council on Systems Engineers (INCOSE) members (n = 55). We identified and described the following trends in the data: there is little between‐participant agreement on the relative importance of system complexity factors, even for participants with a shared background and role; participants tend to be internally consistent in their ratings of the relative importance of system complexity factors. Given the lack of alignment on the relative importance of system complexity factors, we argue that successful evaluation of system complexity can be better ensured by explicit determination and discussion of the (possibly implicit) perspective(s) on system complexity that are being taken.

Suggested Citation

  • Matthew W. Potts & Pia A. Sartor & Angus Johnson & Seth Bullock, 2020. "Assaying the importance of system complexity for the systems engineering community," Systems Engineering, John Wiley & Sons, vol. 23(5), pages 579-596, September.
  • Handle: RePEc:wly:syseng:v:23:y:2020:i:5:p:579-596
    DOI: 10.1002/sys.21550
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sys.21550
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sys.21550?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Xianyu Zhang & Xinguo Ming, 2023. "A Smart system in Manufacturing with Mass Personalization (S-MMP) for blueprint and scenario driven by industrial model transformation," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 1875-1893, April.

    More about this item

    Statistics

    Access and download statistics

    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:wly:syseng:v:23:y:2020:i:5:p:579-596. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6858 .

    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.