Modeling and managing complex systems - Proceedings of the 17th International DSM Conference Fort Worth (Texas, USA), 4-6 November 2015

Maik Maurer, Danilo Marcello Schmidt, Udo Lindemann

Modeling and managing complex systems

Proceedings of the 17th International DSM Conference Fort Worth (Texas, USA), 4-6 November 2015

2015

289 Seiten

Format: PDF, Online Lesen

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ISBN: 9783446447264

 

Table of Contents

6

Foreword

9

Part I: DSM Methods and Complexity Management

12

DSM Foundations and Applications, and an Update on the Explainer

14

1 DSM as a new paradigm

14

2 DSM as an autonomous organization

14

3 DSM and the management of risks

15

4 The Explainer

15

4.1 The Premise that Motivates the Explainer

16

4.2 I believe that we are very limited in the complexity of problems we can solve

16

4.3 Cause-and-effect circuits

17

4.4 Other methods for using cause-and-effects

17

4.5 Dealing with increases and decreases in variables

17

4.6 An example involving a cause-and-effect circuit

17

4.7 Circuits have two solutions

17

4.8 Another Congressional problem that the Explainer has dealt with

18

4.9 Other problems that the Explainer can also deal with

18

4.10 A proposal for a website to help people solve problems

19

4.11 Using this power to reclaim our government from hidden sources of money

19

References

19

A Matrix-based Framework to Support Dynamic Modeling of Sociotechnical Systems

30

1 Introduction

30

2 Background

31

2.1 Sociotechnical Systems

31

2.2 Strategic design alternatives

32

2.3 Dynamic Modeling

32

2.4 Academic example of a PSS

32

2.5 Process for creating dynamic models

33

3 Research Approach

34

4 A Framework to Support Dynamic Modeling

35

4.1 Meta-Model Overview

35

4.2 Implications and examples of application

36

5 Conclusion

37

References

38

Acknowledgements

39

Supplementing Morphological Analysis with a Design Structure Matrix for Policy Formulation in a Wastewater Treatment Plant

20

1 Introduction

20

2 Applying MA for Policy Formulation

22

3 Applying Design Structure Matrix

23

3.1 Where DSM can supplement MA

23

3.2 Specific Contributions of DSM to MA

24

4 Towards a Framework for MA and DSM integration

25

4.1 Weaknesses of Morphological Analysis

25

4.2 Strengths of DSM and Avenues for MA and DSM Integration

26

5 Conclusions

27

References

28

Acknowledgements

29

Part II: Analyzing and Managing Organizations, Teams and Individuals

40

Structuring a Product Development Organization Based on the Product Architecture and Communication

42

1 Introduction

42

2 Product and Organization Architecture DSM Data

43

3 Simultaneous Clustering Analysis

47

4 Discussion of Results and Conclusions

50

References

50

Analyzing industrial clusters using measures of structural complexity management

52

1 Introduction

52

2 State of Research

53

3 Methods of Structural Complexity Management for Analyzing Industrial Clusters

54

4 Case Study

56

4.1 Data Acquisition

56

4.2 Results and Interpretation

56

5 Conclusion

60

References

61

Acknowledgments

62

Application of DSM in the field Organizational Psychology

64

1 Introduction

64

2 Structure analysis

65

3 Practical application of results

70

4 Discussion

71

5 Conclusion and outlook

72

References

73

Acknowledgments

74

Identification of Process, Team and Tool Dependencies in Building Information Modelling (BIM) Implementation using Multi-Domain Mapping (MDM) – A Theoretical Framework

76

1 Introduction

76

2 Applicability of DSM/MDM in Capturing the Interrelationships among Domains

78

3 A Framework for Defining Abstraction Levels for Decomposition of Activity-based DSM

79

3.1 Understanding Hierarchical Levels of Human Activity using Activity Theory

79

3.2 Hierarchical Levels of Human Activities

80

4 Knowledge Elicitation to Populate DSM/MDM

82

5 Discussion and Conclusion

83

References

83

Part III: Project Management

86

An Initial Metamodel to Evaluate Potentials for Graph-based Analyses of Product Development Projects

88

1 Introduction

88

2 Background

89

2.1 Why needs the controlling of PD projects to be supported and how?

89

2.2 Systems perspective on PD Projects

90

3 An Initial Metamodel for Product Development Project Graphs

91

3.1 Elaboration of the metamodel

91

3.2 Description of the metamodel

92

3.3 Exemplary Use Case

94

5 Conclusion and Outlook

96

5.1 Advantages

96

5.2 Limitations

97

5.3 Outlook

97

References

98

Acknowledgements

98

Graphical Triangularization

100

1 Introduction and Problem Statement

100

2 Solution Approach

103

2.1 Global orientation of workflow in a strength based process graph

103

2.2 Coloring of edges according to the position in the matrix

104

2.3 Combine global flow and colored edges

104

2.4 Comparison of matrix and graph

106

3 Conclusion and future work

107

References

107

DoD Predictive Program Management

108

1 Introduction

108

2 Literature Review

108

3 Objective

110

4.1 Method – Content & Utility

111

4.2 Method – Process to Build

113

Step 1

113

Step 2

114

Step 3

114

Step 4

115

Steps 5, 6 & 7

115

4.3 Method – Past Proof of Concept

115

5 Discussion & Conclusion

117

References

117

Part IV: Managing Failures and Risks inComplex Systems

120

DSM-based Reliability Analysis of Modular Architectures

122

1 Introduction

122

2 Models of Product, Reliability and Failure

123

3 A Proposed Methodology

125

3.1 Representation of Systems Architecture

125

3.2 Representation of Reliability

126

4 A Case Study

127

4.1 Storage Compartment

127

4.2 The Function Inhibit Mechanical Energy (IME)

129

5 Conclusions

131

6 Future Work

131

References

131

Applying DSM methodology to rank risk of internal controls in critical infrastructure enterprises

134

1 Introduction

134

2 Mapping Risk to Requirements

134

2.1 Registration Room

136

2.2 Asset Room

136

2.3 Event Room

140

2.4 Resiliency Room

141

2.5 Capability Room

141

2.6 Violation Room

142

2.7 Standards Room

143

2.8 Determination of Audit Scope, Depth, and Frequency

145

2.9 Evaluation of the Software Tool

145

3 Conclusion

146

References

146

VE2 Strategies by MDM

148

1 Introduction

148

2 VE2 model objectives

149

3 MDM model

149

3.1 Needs elicitation and high level risk management

150

3.2 System requirements translation and validation

152

3.3 Testing methodology identification and assessment

154

4 Pro and Cons

155

4.1 Pros

155

4.2 Cons

156

5 Further research

157

References

157

Part V: Modelling functions and functionality ofcomplex systems

158

System Level Thermal Design - Process Modeling for Functional/Structure Design using SysML and MDM

160

1 Introduction

160

2 System level thermal design

161

2.1 Hardware/Software design process using SysML

161

2.2 Design process description using Function/Performance/Structure MDM

164

3 Application in Product Architecture Exploration

166

3.1 Thermal design focus

166

3.2 Trade-off study between processor selection and structure design

166

4 Conclusion

169

References

170

Analysis of correlations between system structure and costs by structural criteria

172

1 Introduction

172

2 Fundamentals in Cost Drivers and Structural Criteria

173

2.1 Structural modeling and analysis

173

2.2 Structural criteria

173

2.3 Approaches in cost management

174

3 Research Methodology and Approach

175

4 Correlations between Cost Structures and Structural Metrics

176

4.1 Classification of Structural Metrics

176

4.2 Introduction to the exemplarily IVE model

177

4.3 Applicability of Structural Metrics

178

4.4 Analyzing of an exemplarily cost structure

179

5 Conclusions and Outlook

180

References

181

Acknowledgements

182

DSM for Modeling and Analyzing Functionality: Views of Practitioners

184

1 Introduction

184

2 The IFM Framework

185

2.1 Setup and represented entities

185

2.2 Modeling and analyzing system functionality

186

3 Evaluation study

187

3.1 Method

187

3.2 Participants profile

188

4 Results

188

4.1 Contents and views considered useful in the IFM framework

188

4.2 Strengths and potentials for further improvement

190

4.2.1 Willingness to apply the IFM framework in the future

191

4.2.2 Expressed strengths

191

4.2.3 Potentials for further improvement

192

5 Discussion of results

192

5.1 Limitations

192

5.2 Adaptability and possibilities for function analysis are particularly beneficial

193

5.3 Potentials for further improvement

193

6 Conclusion

193

References

194

MDM-Based Kansei Design Approach to Appeal on Customer Senses for Products

196

1 Introduction

196

2 Kansei Design for Consumer Product

198

2.1 DSM clustering analysis for requirements using the evaluation grid method

198

2.2 MDM-based representation of kansei design

200

3 Application to the Kansei Design of a Camera

201

3.1 Requirement analysis using the evaluation grid method

201

3.2 MDM-based kansei design model

203

4 Conclusion

204

References

205

Part VI: Process and Change Management

206

A system-based approach to further design the concept of Manufacturing Change Management

208

1 Introduction

208

2 The concept of Manufacturing Change Management

209

3 Towards a system-based MCM design

210

4 System-based design for Manufacturing Change Management

211

4.1 General MCM system architecture

211

4.2 System architecture of the MCM elements

212

5 Analysis of the MCM models: Results and further design activities

216

6 Conclusion and outlook

217

References

218

Acknowledgements

219

Modeling Industrial Symbiosis Using Design Structure Matrices

220

1 Introduction

220

2 Modeling Industrial Symbiosis with DSMs

221

2.1 Modeling Industrial Symbiosis

222

2.2 Symbiosis concretization stages

222

2.3 Multigraphs with ports and DSM

224

2.4 Modeling symbioses as directed multigraphs with ports

224

3 Application example

225

4 Conclusions

228

References

229

Acknowledgements

230

How to build up an Engineering Change dependency model based on past change data?

232

1 Introduction

232

2 Methodology

233

3 Background

233

3.1 Models to predict Change Propagation

233

3.2 EC data and related data in PDM systems

234

3.3 Data Mining technique: association rules analysis

235

4 Building an Engineering Change Dependency Model based on historical EC data

236

4.1 System definition

236

4.2 Information acquisition

237

5 Simulation Model

239

6 Conclusion and outlook

240

References

240

Acknowledgments

242

New Product Development Visualization & Optimization using DSMs

244

1 Introduction

244

2 Current Approach to New Product Development

244

2.1 Task-based DSM with Feedback and Feedforward Dependencies

244

3 New Product Development Visualisation & Optimisation

245

3.1 Non-optimised, NPD DSM

245

3.2 NPD with a different number of assumed Tapeouts

246

3.3 Insertion of explicit Requirements Management tasks

249

3.4 Insertion of explicit Risk Management tasks

250

3.5 Gantt version of overall NPD DSM

251

4 Conclusion

253

References

253

Part VII: Systems’ Architectures andModularities

254

On Ranking Components in Scientific Software

256

1 Introduction

256

2 Nodal Centrality Via Matrix Functions

258

2.1 Hubs and Authorities

259

2.2 Walks, Paths, and Matrix Exponential

259

3 Centrality of Nodes in Function Call Graphs

261

3.1 Centrality Results for the Small Call Graph Example

261

4 Concluding Remarks

263

References

263

Acknowledgments

265

The Principle of Modularity

266

1 Introduction and Literature

266

2 Definition of Modularity Matrix

268

3 A New Principle of Modularity

269

4 Customer Needs in The Modularity Matrix

273

5 Conclusions and Discussions

275

References

275

Measurement of Modularity Level within Selected Omani Small and Medium Size Enterprises

278

1 Introduction

278

2 Literature Review

279

2.1 Modularity within SMEs

279

2.2 Importance of Components Interdependencies and Modules

279

3 Research Methodology

280

4 Design Structure Matrix (DSM) Tool: General Concept

281

5 Application of the DSM to Measure the Modularity: A Case Example

282

6 Results and Discussion

285

6.1 Study Outcomes

285

6.2 Research Limitations

286

7 Conclusions and Future Work

286

References

287

Author Index

288

Keyword Index

289

 

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