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Applying the Design Structure Matrix to System Decomposition and Integration Problems: A Review and New Directions
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Applying the Design Structure Matrix to System Decomposition and Integration Problems: A Review and New Directions
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The development of these skills is not a simple task, and can only be achieved after some years of experience in multicultural teams. To reduce the time to master these skills, and improve the likelihood of success in a first global project, you can attend “soft-skills” training sessions and request coaching from more experienced global project managers. Fisher and Fisher suggest that a good training plan will also include language lessons (for people in frequent contact with a foreign language), technical training (when there are different levels of understanding on technical disciplines that can create conflicts or risks to the. | 292 IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT VOL. 48 NO. 3 AUGUST 2001 Applying the Design Structure Matrix to System Decomposition and Integration Problems A Review and New Directions Tyson R. Browning 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-à-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. Index Terms Design structure matrix information flow integration analysis modularity organization design product architecture product development project management project planning scheduling systems engineering. I. Introduction .
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