Complexity Metrics in Engineering Design

Transcription

1 Complexity Metrics in Engineering Design Managing the Structure of Design Processes Bearbeitet von Matthias Kreimeyer, Udo Lindemann 1. Auflage Buch. xiii, 403 S. Hardcover ISBN Format (B x L): 15,5 x 23,5 cm Gewicht: 789 g Weitere Fachgebiete > Technik > Technik Allgemein > Konstruktionslehre und -technik schnell und portofrei erhältlich bei Die Online-Fachbuchhandlung beck-shop.de ist spezialisiert auf Fachbücher, insbesondere Recht, Steuern und Wirtschaft. Im Sortiment finden Sie alle Medien (Bücher, Zeitschriften, CDs, ebooks, etc.) aller Verlage. Ergänzt wird das Programm durch Services wie Neuerscheinungsdienst oder Zusammenstellungen von Büchern zu Sonderpreisen. Der Shop führt mehr als 8 Millionen Produkte.

2 CONTENTS 1. Complex processes in engineering design Preface A practical application: A design process at Audi AG Description of the process Modeling the process as an EPC process chart Deficits when analyzing the process chart using existing methods Conclusion: Systematic analysis of a process chart The need for systematic analysis in practice The problem: Systematic analysis of a process chart Basic hypotheses and research questions The approach used in this research Context of developing complexity metrics Goals of this research Basic requirements of the solution Targeted audience What this book is not about Related fields of science Structure of this book The foundations of complexity metrics Structural complexity of a system General notions of managing structural complexity Graph Theory Matrix-based methodologies to manage structures Network Theory Other approaches to managing complex systems Summary Structural aspects of process management Processes in Engineering Design

3 2 Contents Goals of analyzing, improving and managing processes Process models and their structural content Strategies to analyze design processes and models Summary Metrics to analyze the structure of a process Basics and measurement foundation Metrics to describe networks Metrics in software engineering Metrics in process management Metrics for engineering design processes The limits of using metrics in an organization Summary Directions from the state of the art Concept of an integrated set of complexity metrics Solution design process Requirements for the solution design Constituents of the solution Overall concept: Analysis procedure Modeling the structure of design processes Design processes as a multi-layered network MDM-based modeling of the structure of a process The Structural Process Architecture model Specific aspects of modeling engineering design processes Alignment of the process structure with the product architecture Inclusion of attributes to nodes and edges Decision points modeled as Boolean operators Building the process model Generating a process model Aggregate views recombining domains and relationship types Example of a process model for engineering release management

4 Contents Conclusion: MDM-based process modeling Complexity Metrics for Design Processes Assessing structural characteristics using metrics Basic and combined structural characteristics Solution principles for structural metrics Evaluation of structural characteristics using structural metrics Structural outliers Overview of the Structural Measurement System A comprehensive set of complexity metrics Relevance and limits of basic structural metrics Relevance and limits of combined and specific structural metrics Classification of available metrics An example application of the Structural Measurement System The process in focus Overview of the analyses using structural complexity metrics Analyses using complexity metrics for the overall process model Analyses using complexity metrics for each task Analyses using complexity metrics for each module Conclusions for the regarded process Conclusion: Structural metrics The S-GQM framework to select metrics Existing frameworks to facilitate the analysis of a system Quality Function Deployment and the House of Quality Goal-Question-Metric Balanced Scorecard Directions and requirements Systematic access to the structure of a process Goals and questions of structural process analysis Allocation of metrics, domains and relationship-types Identifying structural outliers Structural significance of the outliers

5 4 Contents 6.3 Using and adapting the framework Conclusion: S-GQM framework for structural analysis Industrial application of metrics Electronic control unit design: General analysis in Automotive Development Goals and focus of the project The process model used Analysis and findings Implications and validation Reflection Automotive design process at Audi AG: Analysis of interfaces Goals and focus of the project The process model used Analysis and findings Implications and validation Reflection Conclusions from the case studies Conclusions and outlook Summary of results Reflection Strengths and weaknesses Implications for industry Implications for Research Outlook References Appendix Structural content of process modeling methodologies Conversion of a process with logic operators Nesting of Boolean operators The complete Structural Process Architecture

6 Contents List of structural metrics Computability of metrics Classification of metrics GQM-Framework for metrics Complete results of case study Keyword index 401