An application of the Design Structure Matrix to Integrated Concurrent Engineering

Avnet, Mark S.; Weigel, Annalisa L.

doi:10.1016/j.actaastro.2009.09.004

Cited by 40 publications

(29 citation statements)

References 11 publications

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“…Specifically, two modifications were made to the team‐based DSM presented by Avnet and Weigel []. First, the disciplines were reordered alphabetically to avoid confusion with the results of different analyses that were presented in the previous study.…”

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confidence: 99%

A Network‐Based Analysis of Team Coordination and Shared Cognition in Systems Engineering

Avnet

2016

Systems Engineering

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This paper presents a network‐based approach for analyzing team coordination and shared cognition in engineering design teams. The research setting is an Integrated Concurrent Engineering (ICE) laboratory in which teams of approximately 20 engineers are collocated to conduct rapid conceptual design of scientific spacecraft. A design structure matrix (DSM) of expected interactions is constructed from technical information flow data, and DSM representations of reported interactions are created using survey data from 10 ICE design teams. A comparative analysis of expected and reported interactions is used to calculate a metric of team coordination called socio‐technical congruence (STC). To examine shared cognition, pairwise shared mental models (SMMs) are measured using pre‐ and post‐session surveys on system design drivers. Shared knowledge networks (SMMs as edges) are constructed, and team learning is measured as the change in network structure over time. Analysis reveals statistically significant correlations between team learning and each of three technical attributes (system development time, launch mass, and mission concept maturity) and between team learning and team coordination. These results indicate that team members learn most from each other when working on difficult or unfamiliar problems and when expected and reported interactions are aligned. The paper concludes 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. Although this study focuses on conceptual design, it lays the foundation for future work examining the role of team coordination and shared cognition in full‐scale system development programs.

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confidence: 99%

A Network‐Based Analysis of Team Coordination and Shared Cognition in Systems Engineering

Avnet

2016

Systems Engineering

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“…Avnet and Weigel [21] provided application of the DSM in integrated concurrent engineering and modeled the full end-to-end space mission design process. To the authors' knowledge, no one has used the DSM method in the healthcare industry specifically for the development of wheelchairs.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a Dynamic Wheelchair Using the Design Structure Matrix Method

Othman

Bhuiyan

Kong

2011

Concurrent Engineering

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Involuntary extensor thrusts, experienced by wheelchair users with cerebral palsy, can cause injuries due to unexpected impacts with the wheelchair. Consequently, these unexpected motions can hurt the human body, damage the wheelchair, and change the correct position of the user's pelvis. Many of the existing wheelchairs do not address all the needs of disabled people. The goal of this article is to develop an instrumented, dynamic seating system for people with extensor thrust using the Design Structure Matrix (DSM) tool in order to provide an efficient development sequence of the design tasks for three subsystems of the seat: the seat back, seat bottom, and footrest. This article provides a detailed application of the use of the DSM. It reveals that the design process of the three main systems can be executed concurrently with different teams having different specializations and proposes a method to minimize total design time.

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“…Adopting different p k 1 , p k 2 and p k 3 , TccðMÞ was computed in four types of conditions: À two project was independent, each project as a cluster con 1 ,`two project was independent, clustering without regarding the relationships between two projects con 2 ,´clustering based on the extended DSM model, without regarding project priorities con 3 ,ˆclustering based on the extended DSM model, with regarding project priorities con 4 , computation results as shown in Table 1.…”

Section: Examplementioning

confidence: 99%

“…DSM is a matrix representation of a directed graph, which allows the project or engineering manager to represent important task relationships in order to determine a sensible sequence for the tasks being modeled [7,8]. As compared to Critical Path Method (CPM) and Program Evaluation and Review Technique(PERT), DSM is more suitable for planning information flow in PD project [9][10][11]. The rows and columns of DSM correspond to the tasks, and the matrix reveals the inputs and outputs of tasks, by manipulating the matrix, the feedback marks can be eliminated or reduced, this process is called partitioning [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…However, the resource conflict among multiple PD projects often leads to the delay of project schedules, and the number of parts, tools and materials also increases linearly with number of products. Ensuring concurrent multiple PD progress [4,5], and managing the information difference and similarity of multiple products are the key problem of concurrent multi-product development project management.…”

Section: Introductionmentioning

confidence: 99%

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Information Flow Scheduling in Concurrent Multi-Product Development Based on DSM

Sun

Huang

Jiang

et al. 2017

Chin. J. Mech. Eng.

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Multi-product collaborative development is adopted widely in manufacturing enterprise, while the present multi-project planning models don't take technical/data interactions of multiple products into account. To decrease the influence of technical/data interactions on project progresses, the information flow scheduling models based on the extended DSM is presented. Firstly, information dependencies are divided into four types: series, parallel, coupling and similar. Secondly, different types of dependencies are expressed as DSM units, and the extended DSM model is brought forward, described as a block matrix. Furthermore, the information flow scheduling methods is proposed, which involves four types of operations, where partitioning and clustering algorithm are modified from DSM for ensuring progress of high-priority project, merging and converting is the specific computation of the extended DSM. Finally, the information flow scheduling of two machine tools development is analyzed with example, and different project priorities correspond to different task sequences and total coordination cost. The proposed methodology provides a detailed instruction for information flow scheduling in multi-product development, with specially concerning technical/data interactions.

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An application of the Design Structure Matrix to Integrated Concurrent Engineering

Cited by 40 publications

References 11 publications

A Network‐Based Analysis of Team Coordination and Shared Cognition in Systems Engineering

A Network‐Based Analysis of Team Coordination and Shared Cognition in Systems Engineering

Developing a Dynamic Wheelchair Using the Design Structure Matrix Method

Information Flow Scheduling in Concurrent Multi-Product Development Based on DSM

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