Structural Complexity Management

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Format: Hardcover
Pub. Date: 2008-11-01
Publisher(s): Springer Verlag
List Price: $157.49

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Summary

Product design is characterized by a steady increase in complexity. The main focus of this book is a structural approach on complexity management. This means, system structures are considered in order to address the challenge of complexity in all aspects of product design. Structures arise from the complex dependencies of system elements. Thus, the identification of system structures provides access to the understanding of system behavior in practical applications.The book presents a methodology that enables the analysis, control and optimization of complex structures, and the applicability of domain-spanning problems. The methodology allows significant improvements on handling system complexity by creating improved system understanding on the one hand and optimizing product design that is robust for system adaptations on the other hand. Developers can thereby enhance project coordination and improve communication between team members and as a result shorten development time. The practical application of the methodology is described by means of two detailed examples.

Author Biography

Prof. Dr.-Ing. Udo Lindemann was postdoctoral engeged in many industrial enterprises. Since 1995 he is head of the Department for product development of the Technical University of Munich. Teaching and research are focused on the development of strategies for the early stages of development, approaches to product innovation, questions of cost management and the use of computers in product development and the inclusion of psychological and sociological insights.Dr.-Ing. Maik Maurer graduated in mechanical engineering at the Technische Universit+ñt M++nchen. In 2007 he became Ph.D. at the Technische Universit+ñt M++nchen.

Table of Contents

The challenge of complexityp. 1
Increase of complexity in engineering developmentp. 3
The market as the source of increasing complexityp. 5
The role of structure in evaluation of complex systemsp. 8
Opportunities due to complexity in product developmentp. 10
Example of a race car developmentp. 12
Project descriptionp. 12
Problem descriptionp. 13
Opportunities due to improved structural considerationsp. 16
Requirements for effective complexity managementp. 16
Complexity in the context of product designp. 21
Definitions and characteristicsp. 22
Systemp. 22
Structurep. 24
Complexityp. 25
Problems with handling complexityp. 30
Complexity management strategiesp. 31
Acquisition and evaluation of complex systemsp. 31
Avoidance and reduction of complexityp. 34
Management and control of complexityp. 35
Opportunities of controlled complexityp. 36
Structure consideration for controlling complexityp. 37
Objectivesp. 37
Information visualizationp. 39
Computational approaches and algorithmsp. 41
Significance of complexity in product designp. 41
Methods for managing complex data in product designp. 43
Overview of applied methodologiesp. 43
Application of graph theoryp. 47
Matrix-based approachesp. 49
Intra-domain matricesp. 50
Inter-domain matricesp. 54
Combined application of intra- and inter-domain matricesp. 54
Multiple-Domain Matricesp. 56
Status quo of applied methodsp. 59
The procedure of structural complexity managementp. 61
Applicability of conventional complexity managementp. 61
Procedure of structural complexity managementp. 62
Modeling the Multiple-Domain Matrixp. 67
Actually applied system definitionsp. 67
The construction of the Multiple-Domain Matrixp. 69
The items of the Multiple-Domain Matrixp. 72
A system definition by the Multiple-Domain Matrixp. 78
Information acquisitionp. 79
Requirements for assuring data qualityp. 79
Information extraction from available data setsp. 82
Information acquisition from interviewsp. 83
Representation of system structuresp. 87
The scope of matricesp. 89
The scope of graphsp. 95
Representing structural contexts by graphs and matricesp. 98
Deduction of indirect dependenciesp. 99
Information acquisition in domain-spanning contextsp. 99
Deduction of indirect dependencies from Multiple-Domain Matricesp. 101
Logics for the deduction of indirect dependenciesp. 104
Strategies for the deduction of indirect dependenciesp. 114
Structure analysisp. 119
Matrix-based methods of structure analysisp. 122
Structure analysis based on graph theoryp. 126
Basic analysis criteria for the characterization of nodes and edgesp. 127
Basic analysis criteria for the characterization of subsetsp. 131
Basic analysis criteria for the characterization of systemsp. 135
Effective procedure of structure analysisp. 139
Product design applicationp. 143
Structure manualp. 144
Structure potentialsp. 149
Tearing approachp. 150
Structural pareto analysisp. 153
Use case: Automotive safety developmentp. 155
Problem Descriptionp. 155
System definitionp. 157
Information acquisitionp. 158
Deduction of indirect dependenciesp. 159
Structure analysisp. 161
Product design applicationp. 163
Improved system managementp. 163
Improved system designp. 169
Use case: Development of high pressure pumpsp. 171
Problem descriptionp. 171
System definitionp. 172
Information acquisitionp. 174
Deduction of indirect dependenciesp. 176
Structure analysisp. 179
Product design applicationp. 181
Literaturep. 189
Appendixp. 197
Deduction of indirect dependenciesp. 198
Analysis criteria for single-domain networksp. 201
Characterization of nodes and edgesp. 201
Active sum, passive sump. 201
Activityp. 202
Articulation nodep. 203
Attainabilityp. 204
Bridge edgep. 205
Busp. 206
Closenessp. 207
Criticalityp. 208
Distance (global)p. 209
End node, start nodep. 210
Isolated nodep. 211
Leafp. 212
Transit nodep. 213
Characterization of subsetsp. 214
Bi-connected componentp. 214
Cluster, completely cross-linkedp. 215
Cluster, based on a strongly connected partp. 216
Distance (between nodes)p. 217
Feedback loopp. 218
Hierarchyp. 219
Localityp. 220
Pathp. 221
Quantity of indirect dependenciesp. 222
Similarityp. 223
Spanning treep. 224
Strongly connected part/componentp. 225
Characterization of systemsp. 226
Bandingp. 226
Clusteringp. 227
Degree of connectivityp. 228
Distance matrixp. 229
Matrix of indirect dependenciesp. 230
Partitioning (triangularization, sequencing)p. 231
Methods for the construction of a structure manualp. 232
Feed-forward analysisp. 232
Impact check listp. 233
Mine seekingp. 234
Structural pareto analysisp. 235
Trace-back analysisp. 236
Indexp. 237
Table of Contents provided by Ingram. All Rights Reserved.

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