The development of mechatronic systems has always been characterized by continuous handling of uncertainties. This challenge, which is associated with dynamic changes in the development context, is increasingly met by companies in the development of physical systems with the implementation of agile approaches in their development processes. However, since established approaches have their origin in software development, they reach various limits in the context of the development of mechatronic systems, e.g. due to the physical properties of the systems. Other features, such as transparent and flexible project management or targeted and early involvement of customers and users in development processes, can also be implemented in mechatronic system development. In order to derive the potentials and limits of existing agile approaches for the context of mechatronic system development, the present paper compares existing approaches with regard to relevant factors from the context of mechatronic system development. The aim is to create a basis for the targeted development, adaptation and use of agile approaches in the field of mechatronic system development.
Already successfully used products or designs, past projects or our own experiences can be the basis for the development of new products. As reference products or existing knowledge, it is reused in the development process and across generations of products. Since further, products are developed in cooperation, the development of new product generations is characterized by knowledge-intensive processes in which information and knowledge are exchanged between different kinds of knowledge carriers. The particular knowledge transfer here describes the identification of knowledge, its transmission from the knowledge carrier to the knowledge receiver, and its application by the knowledge receiver, which includes embodied knowledge of physical products. Initial empirical findings of the quantitative effects regarding the speed of knowledge transfers already have been examined. However, the factors influencing the quality of knowledge transfer to increase the efficiency and effectiveness of knowledge transfer in product development have not yet been examined empirically. Therefore, this paper prepares an experimental setting for the empirical investigation of the quality of knowledge transfers.
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