Characterizing Representational Uncertainty in System Design and Operations.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Author-Supplied Keywords:
      decomposition
      design process
      systems architecture
      uncertainty
    • NAICS/Industry Codes:
      518210 Data Processing, Hosting, and Related Services
    • Abstract:
      This paper develops the concept of representational uncertainty to frame a critical challenge in systems engineering. Representational uncertainty arises in complex systems problems when the correct system representation cannot practically be known until some initial work has been undertaken. Drawing on empirical evidence from two very different system design problems, we illustrate the nature and prevalence of representational uncertainty in systems engineering practice. Our findings show that errors in the system representation may lead to wasted design work that explores the wrong tradespaces, expects the wrong value from design choices, and organizes work on the wrong set of decomposed subproblems. We find that mitigating representational uncertainty requires design processes that incorporate discovery of the system properties through a "reality check" early in the design process. We consider the implications for systems engineering processes and tools, and highlight directions for future research. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Systems Engineering is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1Engineering Management and Systems Engineering, The George Washington University, Washington DC, 20052
    • ISSN:
      1098-1241
    • Accession Number:
      10.1002/sys.21375
    • Accession Number:
      122042190
  • Citations
    • ABNT:
      GRALLA, E.; SZAJNFARBER, Z. Characterizing Representational Uncertainty in System Design and Operations. Systems Engineering, [s. l.], v. 19, n. 6, p. 535–548, 2016. DOI 10.1002/sys.21375. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=122042190. Acesso em: 26 nov. 2020.
    • AMA:
      Gralla E, Szajnfarber Z. Characterizing Representational Uncertainty in System Design and Operations. Systems Engineering. 2016;19(6):535-548. doi:10.1002/sys.21375
    • APA:
      Gralla, E., & Szajnfarber, Z. (2016). Characterizing Representational Uncertainty in System Design and Operations. Systems Engineering, 19(6), 535–548. https://doi.org/10.1002/sys.21375
    • Chicago/Turabian: Author-Date:
      Gralla, Erica, and Zoe Szajnfarber. 2016. “Characterizing Representational Uncertainty in System Design and Operations.” Systems Engineering 19 (6): 535–48. doi:10.1002/sys.21375.
    • Harvard:
      Gralla, E. and Szajnfarber, Z. (2016) ‘Characterizing Representational Uncertainty in System Design and Operations’, Systems Engineering, 19(6), pp. 535–548. doi: 10.1002/sys.21375.
    • Harvard: Australian:
      Gralla, E & Szajnfarber, Z 2016, ‘Characterizing Representational Uncertainty in System Design and Operations’, Systems Engineering, vol. 19, no. 6, pp. 535–548, viewed 26 November 2020, .
    • MLA:
      Gralla, Erica, and Zoe Szajnfarber. “Characterizing Representational Uncertainty in System Design and Operations.” Systems Engineering, vol. 19, no. 6, Nov. 2016, pp. 535–548. EBSCOhost, doi:10.1002/sys.21375.
    • Chicago/Turabian: Humanities:
      Gralla, Erica, and Zoe Szajnfarber. “Characterizing Representational Uncertainty in System Design and Operations.” Systems Engineering 19, no. 6 (November 2016): 535–48. doi:10.1002/sys.21375.
    • Vancouver/ICMJE:
      Gralla E, Szajnfarber Z. Characterizing Representational Uncertainty in System Design and Operations. Systems Engineering [Internet]. 2016 Nov [cited 2020 Nov 26];19(6):535–48. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=122042190