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Complexity Metrics in Engineering Design: Managing the by Matthias Kreimeyer

By Matthias Kreimeyer

This publication provides the result of a number of years’ learn paintings on tips on how to signify complexity in engineering layout with a selected regard to dependency modeling. The fifty two complexity metrics which are offered express diversified points of the way complexity takes form in layout approaches. The metrics are supported through a modeling procedure and a size framework to hire the metrics in a goal-oriented demeanour. The specified description of all concerned metrics and versions makes it attainable to use the research method of universal approach modeling methodologies. 3 case stories from car procedure administration illustrate the applying to facilitate the move to different circumstances in an commercial context. the excellent appendix provides extra information and checklists for structural research to generate an entire evaluation of present technique of structural analysis.

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2 Basic requirements of the solution Generally, this research is intended to deliver a rigorous contribution to design research, extending the existing body of knowledge and understanding of engineering design processes, while, at the same time, delivering a practicable methodology to industry. To this end, this research is based on the common aspects of research methodology. At the solution level, there are different requirements of developing a “good” method. This entails a solution that is complete, correct, consistent, and clear.

Lastly, the metrics are classified to generate a complete picture of their applicability. Chapter 6 makes use of this classification to generate a framework connecting the metrics to the different goals of process improvement to allow a goal-oriented application of the structural metrics. To do so, first a set of goals for structural process analysis is established which, in the second step, is completed by different questions that operationalize each goal. Each question is then completed with a set of metrics, domains, and relationship types that can be used to provide answers to the question.

Each of these iterations takes about four months. The more detailed the models are, the better simulations that can be run; thus, in the beginning only worst-case scenarios are simulated for core load cases, whereas variant models of all components and their functionalities can be reviewed later. In the process model, the growing degree of integration of the simulation departments into the development process can easily be spotted in the lower half of Figure 1-2 (the different types of load cases are marked as colored sub-processes), where there are more and more tasks shown over the progression of time.

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