Applying the design structure matrix to system decomposition and integration problems: a review and new directions
TLDR
This paper reviews two types of DSM, static and time-based DSMs, and four DSM applications, effective for integrating low-level design processes based on physical design parameter relationships and leads to conclusions regarding the benefits of DSMs in practice and barriers to their use.Abstract:
Systems engineering of products, processes, and organizations requires tools and techniques for system decomposition and integration. A design structure matrix (DSM) provides a simple, compact, and visual representation of a complex system that supports innovative solutions to decomposition and integration problems. The advantages of DSMs vis-a-vis alternative system representation and analysis techniques have led to their increasing use in a variety of contexts, including product development; project planning, project management, systems engineering, and organization design. This paper reviews two types of DSMs, static and time-based DSMs, and four DSM applications: (1) component-based or architecture DSM, useful for modeling system component relationships and facilitating appropriate architectural decomposition strategies; (2) team-based or organization DSM, beneficial for designing integrated organization structures that account for team interactions; (3) activity-based or schedule DSM, advantageous for modeling the information flow among process activities; and (4) parameter-based (or low-level schedule) DSM, effective for integrating low-level design processes based on physical design parameter relationships. A discussion of each application is accompanied by an industrial example. The review leads to conclusions regarding the benefits of DSMs in practice and barriers to their use. The paper also discusses research directions and new DSM applications, both of which may be approached with a perspective on the four types of DSMs and their relationships.read more
Citations
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Proceedings ArticleDOI
Value Impact of an Organization Structure in the Context of Value-Driven Design
TL;DR: The paper demonstrates that the organization structure does affect the value of the system and should be considered at the beginning of the design process, and is incorporated to the value driven approach of designing complex systems.
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Towards proactive airport security management: Supporting decision making through systematic threat scenario assessment
TL;DR: The approach described in this paper systematically documents elements and relationships of the airport security system and provides decision makers with a possibility to interact with the system and anticipate effects of threat development, thereby enabling robust, future-oriented decisions.
Using Multiple Design Structure Matrices
TL;DR: An algorithm is developed that points out important dependencies within the matrix and helps the designer to identify important parts in a MDSM using cross-domain relations between the different M DSM domains and presents an algorithm for the evaluation of the cross- domain relations.
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A Network-Based Analysis of Team Coordination and Shared Cognition in Systems Engineering
TL;DR: It is concluded that team coordination and the design product in ICE are not necessarily directly related to each other but that both are related to shared cognition, which lays the foundation for future work examining the role ofteam coordination and shared cognition in full-scale system development programs.
Proceedings ArticleDOI
Structure-based System Dynamics analysis of engineering design processes
Daniel Kasperek,Christian Lichtenberg,Sebastian Maisenbacher,Christoph Hollauer,Mayada Omer,Maik Maurer +5 more
TL;DR: The development of an e-bike sharing system within a student project was used as basis for the case study to answer the question if the structure-based System Dynamics analysis approach can be successfully applied to model the behavior of the observed engineering design process.
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