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2011 | Buch

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Complexity Metrics in Engineering Design

Managing the Structure of Design Processes

verfasst von: Matthias Kreimeyer, Udo Lindemann

Verlag: Springer Berlin Heidelberg

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book presents the results of several years’ research work on how to characterize complexity in engineering design with a specific regard to dependency modeling. The 52 complexity metrics that are presented show different facets of how complexity takes shape in design processes. The metrics are supported by a modeling method and a measurement framework to employ the metrics in a goal-oriented manner. The detailed description of all involved metrics and models makes it possible to apply the analysis approach to common process modeling methodologies. Three case studies from automotive process management illustrate the application to facilitate the transfer to other cases in an industrial context. The comprehensive appendix supplies additional details and checklists for structural analysis to generate a complete overview of current means of structural analysis.

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Inhaltsverzeichnis

Frontmatter

1. Complex processes in engineering design

Abstract

As globalization increases, the time to market continues to decrease and customers can choose among a variety of suppliers and demand better prices, better quality, and more and more customized products [COOPER & EDGETT 2005].

Matthias Kreimeyer, Udo Lindemann

2. The foundations of complexity metrics

Abstract

To analyze the structure of engineering design processes using metrics, foundations from the different areas of relevance shown in Figure 2–1 are used. These were identified using the DRM (Design Research Methodology) approach [BLESSING & CHAKRABARTI 2009, p. 63].

Matthias Kreimeyer, Udo Lindemann

3. Concept of an integrated set of complexity metrics

Abstract

This chapter provides an overview of the following three chapters that delineate different aspects of the solution and how they were developed. The reason for this layout is because developing the solution first requires detailing the modeling method, then the metrics, and lastly the contextualization of the metrics in an overall scheme. However, when using this approach, the elements to the solution are reversed. Therefore, this section provides a concise preview of the elements of the solution and their dependencies.

Matthias Kreimeyer, Udo Lindemann

4. Modeling the structure of design processes

Abstract

In this section, a model representing the structure of a process is laid out to serve the following purposes: Serve as an interface to other process models. Provide the semantics of common process models as a basis for the development of metrics that are independent of a specific process model. Represent all modeling constructs that are relevant to process management from a structural point of view (entities, relationships, attributes to entities and relationships, logic operators) Provide an interface to the product architecture. Support the creation of aggregate views onto a specific domain.

Matthias Kreimeyer, Udo Lindemann

5. Complexity Metrics for Design Processes

Abstract

This section lays out available complexity metrics in order to assess the structure of engineering design processes to discover indications about their behavior. These metrics receive, as an input, a structural model (preferably based on the Structural Process Architecture, as shown in the previous chapter, although any other graph or dependency model can be used) of only the entities and relationships of the system. The metrics are, therefore, suited to work with qualitative models, as commonly found in process models set up from “boxes and arrows”. These metrics and their description are referred to as the Structural Measurement System (SMS).

Matthias Kreimeyer, Udo Lindemann

6. The S-GQM framework to select metrics

Abstract

To enable the goal-oriented analysis of a process using complexity metrics as e.g. provided by the Structural Measurement System, a framework is necessary to select the metrics and to guide their application. The solution presented here is based on the GQM approach and therefore called Structural Goal Question Metric framework (S-GQM). However, the framework is not meant as the only means of systematically applying metrics to a process analysis. Nevertheless, the framework is designed to help address the most common elements of a process analysis, as shown in the requirements outlined in chapter 3.

Matthias Kreimeyer, Udo Lindemann

7. Industrial application of metrics

Abstract

In this chapter, the analysis of engineering design processes using the goaloriented application of structural complexity metrics is shown. To do so, two different processes are modeled as Multiple-Domain Matrices, different metrics are selected and computed for the process models, and the findings from the analyses are compared to statements from engineers and managers involved with the processes to validate the findings.

Matthias Kreimeyer, Udo Lindemann

8. Conclusions and outlook

Abstract

In this section, the results presented in this book are reviewed, followed by a discussion of the strengths and weaknesses of the approach and the implications that can be drawn from them for both academic and industrial applications.

Matthias Kreimeyer, Udo Lindemann

9. References

Abstract

Ahn, Y.-Y.; Han, S.; Kwak, H.; Moon, S.; Jeong, H.: Analysis of topological characteristics of huge online social networking services. In: Proceedings of the 16th International World Wide Web Conference, Banff, Alberta, Canada, 08.-12-05.2007. New York, NY: ACM 2007, pp. 835-844. ISBN: 978-1- 59593-654-7.

Matthias Kreimeyer, Udo Lindemann

10. Appendix

Abstract

In this section of the appendix, common process modeling methodologies are evaluated concerning their structural content. For this purpose the structural metamodel for each methodology is shown with its core domains and the relationship types linking these domains.

Matthias Kreimeyer, Udo Lindemann

Backmatter

Titel: Complexity Metrics in Engineering Design
verfasst von: Matthias Kreimeyer
Udo Lindemann
Copyright-Jahr: 2011
Verlag: Springer Berlin Heidelberg
Electronic ISBN: 978-3-642-20963-5
Print ISBN: 978-3-642-20962-8
DOI: https://doi.org/10.1007/978-3-642-20963-5

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