Analyzing and Modeling Interdisciplinary Product by Frank Neumann

By Frank Neumann

Frank Neumann makes a speciality of developing a theoretical foundation that enables an outline of the interaction among person and collective approaches in product improvement. For this goal, he introduces the built-in descriptive version of data construction because the first constituent of his study framework. As a moment a part of the study framework, an research and modeling technique is proposed that captures many of the wisdom conversion actions defined via the built-in descriptive version of data production. for that reason, this study framework is utilized to the research of information features of mechatronic product improvement (MPD). eventually, the consequences received from the former steps are used inside a layout help procedure that goals at federating the data and data assets inside the types released within the a number of improvement actions of MPD.

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Sample text

9). So far, support for Modelica has been implemented in nine modeling tools and it is entering mainstream industry usage in system design (Casella 2009). g. g. 5). 8). 11). g. 1). 2) appeared in recent years and start to enter industry usage. 18 1 Introduction and Motivation (g) Numerous universities developed programs for Mechatronics engineering (Wikander, Törngren, et al. 3). g. 2) remain in the focus of scientific research. Among these currently research-relevant topics, the present thesis selects such issues that on the one hand bear a significant potential for improvement within MPD, and that, on the other hand, have not been in the focus of researchers and the industry in the past.

In addition, it clarifies the nature of cross-disciplinary interactions in MPD and Mechatronics engineering science. The third chapter focuses on the clarification of the concepts of data, information and knowledge as well as related processes. Next, it introduces selected taxonomies for the structuring of knowledge. Chapter 4 gives an overview on cognitive psychology and on various subfields of thinking and reasoning. Drawing from well-recognized dual process theories for the various subfields of thinking, it introduces the tripartite model of mind that will be applied throughout the present thesis.

What are the knowledge needs of the different disciplines and roles within each of these process elements? 5. What are adequate semantic technologies permitting a semantic enrichment of the numerous types of models used within MPD allowing to improve the processing, storage, distribution and context-sensitive provisioning of knowledge? 6. What is an appropriate system architecture for a design support system based on semantic technologies aiming at improving the processing, storage, distribution, and context-sensitive provisioning of knowledge within MPD?

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