
Tim is a consultant and trainer, author, publisher, lecturer, executive board member of the German consulting and training company oose, and active member of the OMG and INCOSE organizations. He wrote parts of the initial SysML specification, and he is still active in the ongoing work on SysML. He is involved in many MBSE activities, and you can meet him at many conferences on MBSE and related topics. As a consultant, Tim has advised many companies in different domains. The insights into their challenges are one source of his experience that he shares in his books and presentations.
SYSMOD – The Systems Modeling Toolbox – Pragmatic MBSE with SysML
SYSMOD is an MBSE toolbox for pragmatic modeling of systems. It is well-suited for use with SysML. This book offers a set of methods with roles, inputs, and outputs, concrete modeling guidances, and examples showing how the methods can be applied with SysML.
- Requirements modeling, System Context, Use Cases
- Functional, Logical and Product Architectures
- Modeling guidances on how to create a SysML model
- Full-fledged SysML example
- Best Practices
- Complete definition of a profile for SYSMOD
- Adoption of MBSE in an Organization
- SysML v1.6 in a Nutshell
Variant Modeling With SysML
SysML does not provide explicit built-in language constructs to model variants. Nevertheless, SysML is useful to create a model for variants. The VAMOS method presented in the book Variant Modeling with SysML is one option on how to model variants with SysML. It uses the profile mechanism of SysML to extend the language with a concept for variant modeling. The concepts are core, variation point, variation, variant, variant constraint, and variant configuration. The book shows how to apply the concepts with standard SysML modeling tool.
More info →The New Engineering Game – Strategies for Smart Product Engineering
The engineering of products faces an increasingly complex and dynamic environment. Megatrends like the Internet of Things (IoT) and the industrial internet respectively Industry 4.0 change the rules on the field. They require a new kind of engineering and thinking. Only companies that can adapt themselves to the frequent and partially disruptive changes in the complex and dynamic markets are successful in the long term.
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