Subsystem and coupling cost considerations using a visual dependency structure matrix

2002 ◽  
Author(s):  
K. English ◽  
C. Bloebaum
Keyword(s):  
Structure Matrix ◽  
Dependency Structure ◽  
Dependency Structure Matrix

Utilization of Dependency Structure Matrix Analysis to Assess Complex Project Designs

2002 ◽  
Author(s):  
Timothy K. Brady
Keyword(s):  
Analytical Framework ◽  
Matrix Analysis ◽  
System Level ◽  
Successful Implementation ◽  
Project Implementation ◽  
Holistic View ◽  
Structure Matrix ◽  
Dependency Structure ◽  
Dependency Structure Matrix ◽  
The Impact

This paper describes a framework for evaluating the long-term effect of early project implementation decisions. Early decisions, such as establishing the system architecture and selecting technology of particular maturity, can have lasting impact throughout the project development process and during the project’s operations phase. A systems engineering analysis framework using two different extensions of dependency structure matrix (DSM) analysis was developed to provide a comprehensive system view of the project architecture and the technology choices. An “interface DSM” mapped the dependence of components on one another and identified the impact of component criticality on the project’s operations. A “technology risk DSM” included a component technology risk factor to help identify the patterns of system level risk. This analytical framework can be used to expand the design and management teams’ holistic view of the project, which can be used to enhance project implementation decision-making. The analytical framework described in this paper was applied to two spacecraft projects, which served as case studies. Analytical observations were compared to post-project lessons learned to develop a general understanding of the relationship between the critical elements of each project’s structure and the successful implementation approach for each case.

scholarly journals Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

2009 ◽  
Vol 17 (4) ◽  
pp. 595-626 ◽  
Author(s):  
Tian-Li Yu ◽  
David E. Goldberg ◽  
Kumara Sastry ◽  
Claudio F. Lima ◽  
Martin Pelikan
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Complex Systems ◽  
Model Building ◽  
Interaction Model ◽  
Problem Decomposition ◽  
Problem Structure ◽  
Structure Matrix ◽  
Dependency Structure ◽  
Dependency Structure Matrix

In many different fields, researchers are often confronted by problems arising from complex systems. Simple heuristics or even enumeration works quite well on small and easy problems; however, to efficiently solve large and difficult problems, proper decomposition is the key. In this paper, investigating and analyzing interactions between components of complex systems shed some light on problem decomposition. By recognizing three bare-bones interactions—modularity, hierarchy, and overlap, facet-wise models are developed to dissect and inspect problem decomposition in the context of genetic algorithms. The proposed genetic algorithm design utilizes a matrix representation of an interaction graph to analyze and explicitly decompose the problem. The results from this paper should benefit research both technically and scientifically. Technically, this paper develops an automated dependency structure matrix clustering technique and utilizes it to design a model-building genetic algorithm that learns and delivers the problem structure. Scientifically, the explicit interaction model describes the problem structure very well and helps researchers gain important insights through the explicitness of the procedure.

scholarly journals The Layered Dependency Structure Matrix for Managing Collaborative Design Processes

2014 ◽  
Vol 39 (1) ◽  
pp. 26-35
Author(s):  
Şule Taşlı Pektaş
Keyword(s):  
Collaborative Design ◽  
Building Design ◽  
Design Processes ◽  
Structure Matrix ◽  
Dependency Structure ◽  
Beam Design ◽  
Interdisciplinary Knowledge ◽  
Design Activities ◽  
Structural Engineers ◽  
Dependency Structure Matrix

Effective collaboration and knowledge management are the major contributors of success in the construction industry. Although a huge amount of interdisciplinary knowledge is exchanged in building design processes, there is a lack of tools for representing information flows. Therefore, this paper focuses on the collaboration between architects and structural engineers and introduces an innovative matrix-based tool named “The Layered Dependency Structure Matrix” for modeling and managing the discipline-specific and collaborative design activities. The proposed method is compared with the conventional techniques used in the industry and its application is demonstrated in a beam design example.

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