Model-based Systems Engineering with SysML
Successful Product Development
Managing Complexity by MBSE
Model-based Systems Engineering (MBSE) is one of the main keys to perform a successful product development, which requires to fulfil all stakeholder requirements, keep to the time frame, stay within budget, and meet the quality. MBSE provides well recognized and proven processes, and methods to reduce the risks of product development reliably in order to prevent cost and schedule overrun as well as quality deficiencies.
Applying MBSE is useful to find and remove errors early in the product development process. Errors which have been made during early project phases may cost easily factor 100 or even up to factor 1000 if removed after product delivery instead of removing them at an earlier stage of development. Unfortunately, most errors made in early product phases are found much later during product integration activities or even after product delivery. MBSE supports to mitigate this situation.
In MBSE, the product specification data are stored in data models and databases, where all related data elements are connected. This supports stringent change management, consistency checks, verification and validation of the results, beginning with the system requirements, system design, as well as implementation, integration, verification, and validation. This enables early error detection and removal. The data models are the reference for the development results which are used by the development team. This in combination with formal and semi-formal modelling languages fosters the common understanding and the communication of the team for the development of the product. It is an important factor to reduce the development risk.
The proposed training will offer you much more than a typical SysML language training. You will experience how to apply MBSE using SysML integrated into a product development process in conjunction with effective and best practices methods to develop simple and complex systems. The training does not depend on specific tools. However, a tool specific training can be asked for separately.