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Structural Complexity Management: An Approach for the Field of Product Design 2009 ed. [Kõva köide]

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  • Formaat: Hardback, 240 pages, kõrgus x laius: 235x155 mm, kaal: 547 g, 85 Illustrations, color; 42 Illustrations, black and white; X, 240 p. 127 illus., 85 illus. in color., 1 Hardback
  • Ilmumisaeg: 15-Oct-2008
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540878882
  • ISBN-13: 9783540878889
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Structural Complexity Management: An Approach for the Field of Product Design 2009 ed.Suurem pilt
  • Formaat: Hardback, 240 pages, kõrgus x laius: 235x155 mm, kaal: 547 g, 85 Illustrations, color; 42 Illustrations, black and white; X, 240 p. 127 illus., 85 illus. in color., 1 Hardback
  • Ilmumisaeg: 15-Oct-2008
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540878882
  • ISBN-13: 9783540878889
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783540878889.html
Märksõnad:
Product design is characterized by a steady increase in complexity. This book focuses into a structural approach on complexity management. It presents a methodology that enables the analysis, control and optimization of complex structures, and the applicability of domain-spanning problems.

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.
1 The challenge of complexity
1
1.1 Increase of complexity in engineering development
3
1.2 The market as the source of increasing complexity
5
1.3 The role of structure in evaluation of complex systems
8
1.4 Opportunities due to complexity in product development
10
1.5 Example of a race car development
12
1.5.1 Project description
12
1.5.2 Problem description
13
1.5.3 Opportunities due to improved structural considerations
16
1.6 Requirements for effective complexity management
16
2 Complexity in the context of product design
21
2.1 Definitions and characteristics
22
2.1.1 System
22
2.1.2 Structure
24
2.1.3 Complexity
25
2.2 Problems with handling complexity
30
2.3 Complexity management strategies
31
2.3.1 Acquisition and evaluation of complex systems
31
2.3.2 Avoidance and reduction of complexity
34
2.3.3 Management and control of complexity
35
2.4 Opportunities of controlled complexity
36
2.5 Structure consideration for controlling complexity
37
2.5.1 Objectives
37
2.5.2 Information visualization
39
2.5.3 Computational approaches and algorithms
41
2.6 Significance of complexity in product design
41
3 Methods for managing complex data in product design
43
3.1 Overview of applied methodologies
43
3.2 Application of graph theory
47
3.3 Matrix-based approaches
49
3.3.1 Intra-domain matrices
50
3.3.2 Inter-domain matrices
54
3.3.3 Combined application of intra- and inter-domain matrices
54
3.3.4 Multiple-Domain Matrices
56
3.4 Status quo of applied methods
59
4 The procedure of structural complexity management
61
4.1 Applicability of conventional complexity management
61
4.2 Procedure of structural complexity management
62
5 Modeling the Multiple-Domain Matrix
67
5.1 Actually applied system definitions
67
5.2 The construction of the Multiple-Domain Matrix
69
5.3 The items of the Multiple-Domain Matrix
72
5.4 A system definition by the Multiple-Domain Matrix
78
6 Information acquisition
79
6.1 Requirements for assuring data quality
79
6.2 Information extraction from available data sets
82
6.3 Information acquisition from interviews
83
6.4 Representation of system structures
87
6.4.1 The scope of matrices
89
6.4.2 The scope of graphs
95
6.5 Representing structural contexts by graphs and matrices
98
7 Deduction of indirect dependencies
99
7.1 Information acquisition in domain-spanning contexts
99
7.2 Deduction of indirect dependencies from Multiple-Domain Matrices
101
7.3 Logics for the deduction of indirect dependencies
104
7.4 Strategies for the deduction of indirect dependencies
114
8 Structure analysis
119
8.1 Matrix-based methods of structure analysis
122
8.2 Structure analysis based on graph theory
126
8.2.1 Basic analysis criteria for the characterization of nodes and edges
127
8.2.2 Basic analysis criteria for the characterization of subsets
131
8.2.3 Basic analysis criteria for the characterization of systems
135
8.3 Effective procedure of structure analysis
139
9 Product design application
143
9.1 Structure manual
144
9.2 Structure potentials
149
9.2.1 Tearing approach
150
9.2.2 Structural pareto analysis
153
10 Use case: Automotive safety development 155
10.1 Problem Description
155
10.2 System definition
157
10.3 Information acquisition
158
10.4 Deduction of indirect dependencies
159
10.5 Structure analysis
161
10.6 Product design application
163
10.6.1 Improved system management
163
10.6.2 Improved system design
169
11 Use case: Development of high pressure pumps 171
11.1 Problem description
171
11.2 System definition
172
11.3 Information acquisition
174
11.4 Deduction of indirect dependencies
176
11.5 Structure analysis
179
11.6 Product design application
181
Literature 189
Appendix 197
A1 Deduction of indirect dependencies
198
A2 Analysis criteria for single-domain networks
201
A2.1 Characterization of nodes and edges
201
Active sum, passive sum
201
Activity
202
Articulation node
203
Attainability
204
Bridge edge
205
Bus
206
Closeness
207
Criticality
208
Distance (global)
209
End node, start node
210
Isolated node
211
Leaf
212
Transit node
213
A2.2 Characterization of subsets
214
Bi-connected component
214
Cluster, completely cross-linked
215
Cluster, based on a strongly connected part
216
Distance (between nodes)
217
Feedback loop
218
Hierarchy
219
Locality
220
Path
221
Quantity of indirect dependencies
222
Similarity
223
Spanning tree
224
Strongly connected part/component
225
A2.3 Characterization of systems
226
Banding
226
Clustering
227
Degree of connectivity
228
Distance matrix
229
Matrix of indirect dependencies
230
Partitioning (triangularization, sequencing)
231
A3 Methods for the construction of a structure manual
232
Feed-forward analysis
232
Impact check list
233
Mine seeking
234
Structural pareto analysis
235
Trace-back analysis
236
Index 237
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 Universität München. In 2007 he became Ph.D. at the Technische Universität München.