Maurer / Schmidt / Lindemann | Modeling and managing complex systems | E-Book | sack.de
E-Book

E-Book, Englisch, 289 Seiten

Maurer / Schmidt / Lindemann Modeling and managing complex systems

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

E-Book, Englisch, 289 Seiten

ISBN: 978-3-446-44726-4
Verlag: Carl Hanser
Format: PDF
Kopierschutz: 1 - PDF Watermark



Dependency and Structure Modelling (DSM) techniques support the management of complexity by focusing attention on the elements of a complex system and how they are related to each other. The DSM perspective can assist in understanding, designing and optimising complex systems – including products, processes and organisations.
This volume comprises peer-reviewed papers representing state-of-the-art in DSM research and applications. The papers were presented at the 17th International DSM Conference held in November 2015 in 2015 in Fort Worth (Texas, USA).
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1;Table of Contents;6
2;Foreword;9
3;Part I: DSM Methods and Complexity Management;12
3.1;DSM Foundations and Applications, and an Update on the Explainer;14
3.1.1;1 DSM as a new paradigm;14
3.1.2;2 DSM as an autonomous organization;14
3.1.3;3 DSM and the management of risks;15
3.1.4;4 The Explainer;15
3.1.4.1;4.1 The Premise that Motivates the Explainer;16
3.1.4.2;4.2 I believe that we are very limited in the complexity of problems we can solve;16
3.1.4.3;4.3 Cause-and-effect circuits;17
3.1.4.4;4.4 Other methods for using cause-and-effects;17
3.1.4.5;4.5 Dealing with increases and decreases in variables;17
3.1.4.6;4.6 An example involving a cause-and-effect circuit;17
3.1.4.7;4.7 Circuits have two solutions;17
3.1.4.8;4.8 Another Congressional problem that the Explainer has dealt with;18
3.1.4.9;4.9 Other problems that the Explainer can also deal with;18
3.1.4.10;4.10 A proposal for a website to help people solve problems;19
3.1.4.11;4.11 Using this power to reclaim our government from hidden sources of money;19
3.1.5;References;19
3.2;A Matrix-based Framework to Support Dynamic Modeling of Sociotechnical Systems;30
3.2.1;1 Introduction;30
3.2.2;2 Background;31
3.2.2.1;2.1 Sociotechnical Systems;31
3.2.2.2;2.2 Strategic design alternatives;32
3.2.2.3;2.3 Dynamic Modeling;32
3.2.2.4;2.4 Academic example of a PSS;32
3.2.2.5;2.5 Process for creating dynamic models;33
3.2.3;3 Research Approach;34
3.2.4;4 A Framework to Support Dynamic Modeling;35
3.2.4.1;4.1 Meta-Model Overview;35
3.2.4.2;4.2 Implications and examples of application;36
3.2.5;5 Conclusion;37
3.2.6;References;38
3.2.7;Acknowledgements;39
3.3;Supplementing Morphological Analysis with a Design Structure Matrix for Policy Formulation in a Wastewater Treatment Plant;20
3.3.1;1 Introduction;20
3.3.2;2 Applying MA for Policy Formulation;22
3.3.3;3 Applying Design Structure Matrix;23
3.3.3.1;3.1 Where DSM can supplement MA;23
3.3.3.2;3.2 Specific Contributions of DSM to MA;24
3.3.4;4 Towards a Framework for MA and DSM integration;25
3.3.4.1;4.1 Weaknesses of Morphological Analysis;25
3.3.4.2;4.2 Strengths of DSM and Avenues for MA and DSM Integration;26
3.3.5;5 Conclusions;27
3.3.6;References;28
3.3.7;Acknowledgements;29
4;Part II: Analyzing and Managing Organizations, Teams and Individuals;40
4.1;Structuring a Product Development Organization Based on the Product Architecture and Communication;42
4.1.1;1 Introduction;42
4.1.2;2 Product and Organization Architecture DSM Data;43
4.1.3;3 Simultaneous Clustering Analysis;47
4.1.4;4 Discussion of Results and Conclusions;50
4.1.5;References;50
4.2;Analyzing industrial clusters using measures of structural complexity management;52
4.2.1;1 Introduction;52
4.2.2;2 State of Research;53
4.2.3;3 Methods of Structural Complexity Management for Analyzing Industrial Clusters;54
4.2.4;4 Case Study;56
4.2.4.1;4.1 Data Acquisition;56
4.2.4.2;4.2 Results and Interpretation;56
4.2.5;5 Conclusion;60
4.2.6;References;61
4.2.7;Acknowledgments;62
4.3;Application of DSM in the field Organizational Psychology;64
4.3.1;1 Introduction;64
4.3.2;2 Structure analysis;65
4.3.3;3 Practical application of results;70
4.3.4;4 Discussion;71
4.3.5;5 Conclusion and outlook;72
4.3.6;References;73
4.3.7;Acknowledgments;74
4.4;Identification of Process, Team and Tool Dependencies in Building Information Modelling (BIM) Implementation using Multi-Domain Mapping (MDM) – A Theoretical Framework;76
4.4.1;1 Introduction;76
4.4.2;2 Applicability of DSM/MDM in Capturing the Interrelationships among Domains;78
4.4.3;3 A Framework for Defining Abstraction Levels for Decomposition of Activity-based DSM;79
4.4.3.1;3.1 Understanding Hierarchical Levels of Human Activity using Activity Theory;79
4.4.3.2;3.2 Hierarchical Levels of Human Activities;80
4.4.4;4 Knowledge Elicitation to Populate DSM/MDM;82
4.4.5;5 Discussion and Conclusion;83
4.4.6;References;83
5;Part III: Project Management;86
5.1;An Initial Metamodel to Evaluate Potentials for Graph-based Analyses of Product Development Projects;88
5.1.1;1 Introduction;88
5.1.2;2 Background;89
5.1.2.1;2.1 Why needs the controlling of PD projects to be supported and how?;89
5.1.2.2;2.2 Systems perspective on PD Projects;90
5.1.3;3 An Initial Metamodel for Product Development Project Graphs;91
5.1.3.1;3.1 Elaboration of the metamodel;91
5.1.3.2;3.2 Description of the metamodel;92
5.1.3.3;3.3 Exemplary Use Case;94
5.1.4;5 Conclusion and Outlook;96
5.1.4.1;5.1 Advantages;96
5.1.4.2;5.2 Limitations;97
5.1.4.3;5.3 Outlook;97
5.1.5;References;98
5.1.6;Acknowledgements;98
5.2;Graphical Triangularization;100
5.2.1;1 Introduction and Problem Statement;100
5.2.2;2 Solution Approach;103
5.2.2.1;2.1 Global orientation of workflow in a strength based process graph;103
5.2.2.2;2.2 Coloring of edges according to the position in the matrix;104
5.2.2.3;2.3 Combine global flow and colored edges;104
5.2.2.4;2.4 Comparison of matrix and graph;106
5.2.3;3 Conclusion and future work;107
5.2.4;References;107
5.3;DoD Predictive Program Management;108
5.3.1;1 Introduction;108
5.3.2;2 Literature Review;108
5.3.3;3 Objective;110
5.3.4;4.1 Method – Content & Utility;111
5.3.5;4.2 Method – Process to Build;113
5.3.5.1;Step 1;113
5.3.5.2;Step 2;114
5.3.5.3;Step 3;114
5.3.5.4;Step 4;115
5.3.5.5;Steps 5, 6 & 7;115
5.3.6;4.3 Method – Past Proof of Concept;115
5.3.7;5 Discussion & Conclusion;117
5.3.8;References;117
6;Part IV: Managing Failures and Risks inComplex Systems;120
6.1;DSM-based Reliability Analysis of Modular Architectures;122
6.1.1;1 Introduction;122
6.1.2;2 Models of Product, Reliability and Failure;123
6.1.3;3 A Proposed Methodology;125
6.1.3.1;3.1 Representation of Systems Architecture;125
6.1.3.2;3.2 Representation of Reliability;126
6.1.4;4 A Case Study;127
6.1.4.1;4.1 Storage Compartment;127
6.1.4.2;4.2 The Function Inhibit Mechanical Energy (IME);129
6.1.5;5 Conclusions;131
6.1.6;6 Future Work;131
6.1.7;References;131
6.2;Applying DSM methodology to rank risk of internal controls in critical infrastructure enterprises;134
6.2.1;1 Introduction;134
6.2.2;2 Mapping Risk to Requirements;134
6.2.2.1;2.1 Registration Room;136
6.2.2.2;2.2 Asset Room;136
6.2.2.3;2.3 Event Room;140
6.2.2.4;2.4 Resiliency Room;141
6.2.2.5;2.5 Capability Room;141
6.2.2.6;2.6 Violation Room;142
6.2.2.7;2.7 Standards Room;143
6.2.2.8;2.8 Determination of Audit Scope, Depth, and Frequency;145
6.2.2.9;2.9 Evaluation of the Software Tool;145
6.2.3;3 Conclusion;146
6.2.4;References;146
6.3;VE2 Strategies by MDM;148
6.3.1;1 Introduction;148
6.3.2;2 VE2 model objectives;149
6.3.3;3 MDM model;149
6.3.3.1;3.1 Needs elicitation and high level risk management;150
6.3.3.2;3.2 System requirements translation and validation;152
6.3.3.3;3.3 Testing methodology identification and assessment;154
6.3.4;4 Pro and Cons;155
6.3.4.1;4.1 Pros;155
6.3.4.2;4.2 Cons;156
6.3.5;5 Further research;157
6.3.6;References;157
7;Part V: Modelling functions and functionality ofcomplex systems;158
7.1;System Level Thermal Design - Process Modeling for Functional/Structure Design using SysML and MDM;160
7.1.1;1 Introduction;160
7.1.2;2 System level thermal design;161
7.1.2.1;2.1 Hardware/Software design process using SysML;161
7.1.2.2;2.2 Design process description using Function/Performance/Structure MDM;164
7.1.3;3 Application in Product Architecture Exploration;166
7.1.3.1;3.1 Thermal design focus;166
7.1.3.2;3.2 Trade-off study between processor selection and structure design;166
7.1.4;4 Conclusion;169
7.1.5;References;170
7.2;Analysis of correlations between system structure and costs by structural criteria;172
7.2.1;1 Introduction;172
7.2.2;2 Fundamentals in Cost Drivers and Structural Criteria;173
7.2.2.1;2.1 Structural modeling and analysis;173
7.2.2.2;2.2 Structural criteria;173
7.2.2.3;2.3 Approaches in cost management;174
7.2.3;3 Research Methodology and Approach;175
7.2.4;4 Correlations between Cost Structures and Structural Metrics;176
7.2.4.1;4.1 Classification of Structural Metrics;176
7.2.4.2;4.2 Introduction to the exemplarily IVE model;177
7.2.4.3;4.3 Applicability of Structural Metrics;178
7.2.4.4;4.4 Analyzing of an exemplarily cost structure;179
7.2.5;5 Conclusions and Outlook;180
7.2.6;References;181
7.2.7;Acknowledgements;182
7.3;DSM for Modeling and Analyzing Functionality: Views of Practitioners;184
7.3.1;1 Introduction;184
7.3.2;2 The IFM Framework;185
7.3.2.1;2.1 Setup and represented entities;185
7.3.2.2;2.2 Modeling and analyzing system functionality;186
7.3.3;3 Evaluation study;187
7.3.3.1;3.1 Method;187
7.3.3.2;3.2 Participants profile;188
7.3.4;4 Results;188
7.3.4.1;4.1 Contents and views considered useful in the IFM framework;188
7.3.4.2;4.2 Strengths and potentials for further improvement;190
7.3.4.2.1;4.2.1 Willingness to apply the IFM framework in the future;191
7.3.4.2.2;4.2.2 Expressed strengths;191
7.3.4.2.3;4.2.3 Potentials for further improvement;192
7.3.5;5 Discussion of results;192
7.3.5.1;5.1 Limitations;192
7.3.5.2;5.2 Adaptability and possibilities for function analysis are particularly beneficial;193
7.3.5.3;5.3 Potentials for further improvement;193
7.3.6;6 Conclusion;193
7.3.7;References;194
7.4;MDM-Based Kansei Design Approach to Appeal on Customer Senses for Products;196
7.4.1;1 Introduction;196
7.4.2;2 Kansei Design for Consumer Product;198
7.4.2.1;2.1 DSM clustering analysis for requirements using the evaluation grid method;198
7.4.2.2;2.2 MDM-based representation of kansei design;200
7.4.3;3 Application to the Kansei Design of a Camera;201
7.4.3.1;3.1 Requirement analysis using the evaluation grid method;201
7.4.3.2;3.2 MDM-based kansei design model;203
7.4.4;4 Conclusion;204
7.4.5;References;205
8;Part VI: Process and Change Management;206
8.1;A system-based approach to further design the concept of Manufacturing Change Management;208
8.1.1;1 Introduction;208
8.1.2;2 The concept of Manufacturing Change Management;209
8.1.3;3 Towards a system-based MCM design;210
8.1.4;4 System-based design for Manufacturing Change Management;211
8.1.4.1;4.1 General MCM system architecture;211
8.1.4.2;4.2 System architecture of the MCM elements;212
8.1.5;5 Analysis of the MCM models: Results and further design activities;216
8.1.6;6 Conclusion and outlook;217
8.1.7;References;218
8.1.8;Acknowledgements;219
8.2;Modeling Industrial Symbiosis Using Design Structure Matrices;220
8.2.1;1 Introduction;220
8.2.2;2 Modeling Industrial Symbiosis with DSMs;221
8.2.2.1;2.1 Modeling Industrial Symbiosis;222
8.2.2.2;2.2 Symbiosis concretization stages;222
8.2.2.3;2.3 Multigraphs with ports and DSM;224
8.2.2.4;2.4 Modeling symbioses as directed multigraphs with ports;224
8.2.3;3 Application example;225
8.2.4;4 Conclusions;228
8.2.5;References;229
8.2.6;Acknowledgements;230
8.3;How to build up an Engineering Change dependency model based on past change data?;232
8.3.1;1 Introduction;232
8.3.2;2 Methodology;233
8.3.3;3 Background;233
8.3.3.1;3.1 Models to predict Change Propagation;233
8.3.3.2;3.2 EC data and related data in PDM systems;234
8.3.3.3;3.3 Data Mining technique: association rules analysis;235
8.3.4;4 Building an Engineering Change Dependency Model based on historical EC data;236
8.3.4.1;4.1 System definition;236
8.3.4.2;4.2 Information acquisition;237
8.3.5;5 Simulation Model;239
8.3.6;6 Conclusion and outlook;240
8.3.7;References;240
8.3.8;Acknowledgments;242
8.4;New Product Development Visualization & Optimization using DSMs;244
8.4.1;1 Introduction;244
8.4.2;2 Current Approach to New Product Development;244
8.4.2.1;2.1 Task-based DSM with Feedback and Feedforward Dependencies;244
8.4.3;3 New Product Development Visualisation & Optimisation;245
8.4.3.1;3.1 Non-optimised, NPD DSM;245
8.4.3.2;3.2 NPD with a different number of assumed Tapeouts;246
8.4.3.3;3.3 Insertion of explicit Requirements Management tasks;249
8.4.3.4;3.4 Insertion of explicit Risk Management tasks;250
8.4.3.5;3.5 Gantt version of overall NPD DSM;251
8.4.4;4 Conclusion;253
8.4.5;References;253
9;Part VII: Systems’ Architectures andModularities;254
9.1;On Ranking Components in Scientific Software;256
9.1.1;1 Introduction;256
9.1.2;2 Nodal Centrality Via Matrix Functions;258
9.1.2.1;2.1 Hubs and Authorities;259
9.1.2.2;2.2 Walks, Paths, and Matrix Exponential;259
9.1.3;3 Centrality of Nodes in Function Call Graphs;261
9.1.3.1;3.1 Centrality Results for the Small Call Graph Example;261
9.1.4;4 Concluding Remarks;263
9.1.5;References;263
9.1.6;Acknowledgments;265
9.2;The Principle of Modularity;266
9.2.1;1 Introduction and Literature;266
9.2.2;2 Definition of Modularity Matrix;268
9.2.3;3 A New Principle of Modularity;269
9.2.4;4 Customer Needs in The Modularity Matrix;273
9.2.5;5 Conclusions and Discussions;275
9.2.6;References;275
9.3;Measurement of Modularity Level within Selected Omani Small and Medium Size Enterprises;278
9.3.1;1 Introduction;278
9.3.2;2 Literature Review;279
9.3.2.1;2.1 Modularity within SMEs;279
9.3.2.2;2.2 Importance of Components Interdependencies and Modules;279
9.3.3;3 Research Methodology;280
9.3.4;4 Design Structure Matrix (DSM) Tool: General Concept;281
9.3.5;5 Application of the DSM to Measure the Modularity: A Case Example;282
9.3.6;6 Results and Discussion;285
9.3.6.1;6.1 Study Outcomes;285
9.3.6.2;6.2 Research Limitations;286
9.3.7;7 Conclusions and Future Work;286
9.3.8;References;287
10;Author Index;288
11;Keyword Index;289


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