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One of the rationales for adopting Model-Based Design is an expected Return On Investment (ROI). This has three very natural questions
- What is the expected ROI?
- What is the timeframe for realizing the ROI?
- What is necessary to realize the ROI?
Unpacking the ROI questions
The first thing to recognize is that the ROI will be dependent on the “level” of adoption of Model-Based Design. The more processes of Model-Based Design that are used the greater the ROI, however, there is a corresponding delay in the realization of the ROI (see reference 1).
Further, the ROI is dependent on a having a defined implementation plan. A full MBD process includes multiple tools and tasks, without a well-defined implementation plan the dependencies between these tasks will become muddled.
Assuming a well-defined implementation plan, Most companies will start to see a return on investment after 9 months to 1 year. The majority of the ROI is generally realized after 3 years.
Hidden or “Negative” ROI
One aspect of Model-Based Design makes measuring ROI difficult, the fact that model-based approaches allow for the development of systems that are impossible (or at least extremely difficult) to develop using traditional approaches. In these cases where MBD is used to create systems of high complexity, the measured ROI may be lower than actual ROI due to the inherent complexity of the system.
Finally, what is the expected ROI? From industry examples, ROI’s as high as 80% are known to be possible (see reference 2) with ROI’s of 30~40% are considered common. Again, these results are dependent on having a good implementation plan. Hopefully, this blog, or MathWorks, will help you develop that plan.
- What is the benefit of a model-based design of embedded software systems in the car industry? By Manfred Broy Technical University Munich, Germany
- Measuring Return on Investment of Model-Based Design By Joy Lin, MathWorks
- Model-Based Design in Practice: A Survey of Outcomes for Engineers and Business Leaders. By Dr. Jerry Krasner Chief Analyst at Embedded Market Forecasters