Abstract
Nowadays, manufacturing companies are challenged by dynamic market environments caused by increasing globalization, digitization and climate change. Therefore, the ability to act with speed, flexibility and efficiency in product development becomes inevitable for success. Moreover, various stakeholder requirements have to be considered and time to market has to be reduced. The development of complex mechatronic systems also requires an interdisciplinary cooperation of various engineering domains, i.e. mechanics, electrical engineering and computer science.Agile product development addresses these challenges with its focus on the iterative development of functional system increments. As a result, it enables to reduce time to market and improves handling of changing customer requirements. The model-based systems engineering (MBSE) approach with its centralized system model serves as a single source of truth and data repository. Thereby, it enhances efficiency and transparency along the product development process. The integration of MBSE into agile product development offers numerous opportunities, such as virtual prototypes and the build-up of a product’s digital twin. As the design of a complete system model at the beginning of a development process requires high temporary resources, an iterative approach should be applied to incrementally build the system model along the product development process.In this paper a methodology for the iterative system modeling in agile product development is presented. In each agile sprint, design parameters based on a development question are elaborated. The information that supports answering the development questions is provided by the system model. Since the system model itself can only provide but not process information it is necessary to select the best toolset to process the necessary information. By transferring the information back to the system model, the elements of the system model itself are iteratively developed and updated.
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