MEASUREMENT FRAMEWORK FOR MODEL-BASED SYSTEMS ENGINEERING (MBSE)

Kaitlin Henderson, Thomas McDermott, Alejandro Salado, Eileen van Aken

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Model-Based Systems Engineering (MBSE) is an increasingly accepted practice in the Systems Engineering community, however, little has been done to empirically show that MBSE provides value. Furthermore, as the industry continues in the direction of digital transformation, MBSE will become a critical component of the larger Digital Engineering (DE) approach. This paper presents a measurement framework for selecting and developing appropriate metrics to assess the value/benefits of MBSE and subsequently DE. Utilizing expected benefits identified in a review of MBSE literature, a causal map was hypothesized to show how expected benefits (potential metrics) influence and relate to each other. This was done in order to systematically determine which benefits would be the most impactful to measure. The hypothesized causal model was presented to subject-matter experts from the Digital Engineering Working Group who provided feedback and validation for the model. Based on the causal map and subsequent analysis, we can recommend the first metrics to be employed for DE/MBSE based on the most influential nodes of the causal model.

Original languageEnglish (US)
Title of host publication2021 ASEM Virtual International Annual Conference "Engineering Management and The New Normal"
PublisherAmerican Society for Engineering Management
Pages312-321
Number of pages10
ISBN (Electronic)9798985333404
StatePublished - 2021
Event42nd International Annual Conference of the American Society for Engineering Management: Engineering Management and The New Normal - Virtual, Online
Duration: Oct 27 2021Oct 30 2021

Publication series

Name2021 ASEM Virtual International Annual Conference "Engineering Management and The New Normal"

Conference

Conference42nd International Annual Conference of the American Society for Engineering Management: Engineering Management and The New Normal
CityVirtual, Online
Period10/27/2110/30/21

Keywords

  • Digital engineering
  • Model-based systems engineering
  • Performance measurement

ASJC Scopus subject areas

  • Organizational Behavior and Human Resource Management

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