Model-Based Systems Engineering Uptake in Engineering Practice

Abstract

Modeling is ubiquitous in engineering, but data on model use and user sophistication in engineering-driven firms are remarkably sparse. Some authors have predicted a sea change in engineering workflow through model-based systems engineering. Despite benefits, the prevalence of effective modeling techniques in industry is an open question. Massive open online courses and similar online offerings are a new opportunity to learn about industry practices. In this paper, we draw on data from the “Architecture and Systems Engineering: Models and Methods to Manage Complex Systems” online program from the Massachusetts Institute of Technology, which has enrolled 4200 participants, to understand how models are used in practice. We use aggregated data from questions to investigate model use by participants and their organizations. The results demonstrate that whereas modeling is widely recognized for its potential, the actual deployment against problems of interest is substantially lower than the participant-stated potential. We also find that many participants reported low use of basic modeling best practices, such as specialized programs. We propose that this research is a fresh use of descriptive analysis to uncover actual modeling practices. Future research should target more detail about modeling practices in engineering-driven firms, and the reasons why modeling adoption is low or overstated.