Abstract
Ever-increasing individualization of products with a constantly increasing range of functions and, at the same time, ever shorter product life cycles characterize product development processes nowadays. This increases the complexity of product development and places new demands on the development of suitable production systems. At the same time, digitization and Industry 4.0 open up new possibilities for collecting and processing information in production processes, which can be used to optimize products. In order to bring products to market in a short time and in high quality, it is necessary to consider both the product and the production system together. This paper describes Model-Based Systems Engineering approaches for the integration of product and production system development in the context of Industry 4.0. Therefore, we first analyze which information is relevant for defined use cases and how this information is interconnected. Subsequently, we describe approaches for the modeling of this information and interdependencies with the help of the modeling language SysML. We then apply the developed approaches for modeling an example system and discuss gained results and insights.
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