Experiences and Lessons from Introducing Model-Based Analysis in Brown-Field Product Family Development
conference paper
Product family development facilitates reuse across all phases of systems engineering; in case of model-based systems engineering, this reuse involves the models as well. Introducing a model-based way of working is challenging, especially for product family development. This paper describes a case of introducing a modelbased way of working in brown-field product family development. We explain how we developed a master model, i.e. a library of model elements, to predict and optimize the productivity of a family of industrial production systems. Using this master model, we construct models of existing and yet-to-be-developed product family members by configuring and combining the appropriate library elements. We use system and model execution traces to validate the productivity models. For this, we developed a master transformation, i.e. a library of execution trace transformation rules, to unify system and model execution traces. Besides the master model and the master transformation, we present lessons learned regarding the introducing a model-based way of working. This proves both technically and organizationally complex, especially for brown-field product family development, but besides the intended prediction and optimization, it brings benefits with respect to capturing domain knowledge and system validation.
TNO Identifier
985701
ISSN
2184-4348
ISBN
978-989-758-633-0
Publisher
SCITEPRESS – Science and Technology Publications
Source title
Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2023),
Pages
226-236
Files
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