Scheurmann / Maurer / Schmidt Reducing risk in innovation

Proceedings of the 15th International DSM Conference Melbourne, Australia, 28-30 August 2013
1. Auflage 2013
ISBN: 978-3-446-43793-7
Verlag: Hanser, Carl
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 155 Seiten

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 15th International DSM Conference held in August 2013 in Melbourne, Australia.

Autoren/Hrsg.

Scheurmann, Elke

Maurer, Maik

Schmidt, Danilo

Lindemann, Udo

Inhaltsverzeichnis

1;Table of Contents;6
2;Foreword;8
3;Scientific Committee;10
4;Part I: Application of DSM and MatrixMethods;12
4.1;Three Examples of how DSM Enhances Engineering Design Automation;14
4.2;Application of DSMs for Analyzing Product and Organizational Structures;22
4.3;Evaluation of a Non-Conformity Matrix Complexity using Components Modularity Metrics;30
5;Part II: Project and process management;38
5.1;Project Risk Management using DSMs;40
5.2;Managing Iterations in the Modular Real Estate Development Process;48
6;Part III: Analysis and Modeling of MultipleDomains;56
6.1;Multi-Domain Modeling with Graph Databases;58
6.2;Multiple-Domain Matrices and Knowledge Maps for Visualizing Knowledge-Driven Scenarios;66
6.3;Improving the Systems Engineering Process with Multi-Domain Mapping;74
7;Part IV: Product architecture and modularity;82
7.1;Equivalence of Design Structure Matrix and Axiomatic Design;84
7.2;Probabilistic Architecture Generation for Early Negotiation;92
7.3;Supplier Evaluation based on a Product’s Architecture;100
8;Part V: New approaches complexity management and matrix methods;108
8.1;A Universal Complexity Criterion for Model Selection in Dynamic Models of Cooperative Work Based on the DSM;110
8.2;Identifying System Eigenvalues Using DSM Uncertainty Principle Approach;118
9;Part VI: Poster Presentations;126
9.1;Using Boolean Operators for modeling complex logicaldependencies in matrices;128
9.2;Design for System Lifecycle Properties – Support of Planning Processes by Modularization of Stakeholder Networks;136
9.3;Improving Organizational Design and Diagnosis by Supporting Viable System Model Application with Structural Complexity Management;144
10;Author Index;152
11;Keyword Index;154