Decomposition of the Design Process

Kusiak, Andrew; Wang, J.

doi:10.1115/1.2919255

Cited by 165 publications

(90 citation statements)

References 4 publications

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“…Kusiak and Wang showed that after an FDT is used to determine appropriate subproblems, the precedence matrix (a form of the DSM) can be used to identify efficient subproblem sequences [14]. Meier et al stated that after sequencing is performed subproblems may be more readily identified [21].…”

Section: Partitioning and Coordination Decision-makingmentioning

confidence: 99%

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Optimal Partitioning and Coordination Decisions in Decomposition-Based Design Optimization

Allison

Kokkolaras

Papalambros

2007

Volume 6: 33rd Design Automation Conference, Parts a and B

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Solution of complex system design problems using distributed, decomposition-based optimization methods requires determination of appropriate problem partitioning and coordination strategies. Previous optimal partitioning techniques have not addressed the coordination issue explicitly. This article presents a formal approach to simultaneous partitioning and coordination strategy decisions that can provide insights on whether a decomposition-based method will be effective for a given problem. Pareto-optimal solutions are generated to quantify tradeoffs between the sizes of subproblems and coordination problems, as measures of the computational costs resulting from different partitioning-coordination strategies. Promising preliminary results with small test problems are presented. The approach is illustrated on an electric water pump design problem. IntroductionNumerous methods have been developed to solve complex system design problems partitioned into smaller subproblems. This decomposition-based approach can ease several difficulties encountered in system design, such as computational expense and management of complex interactions between system elements. Solving a problem in this way requires system designers to decide how to partition the system into subproblems and how to coordinate solution of subproblems toward a consistent, optimal system design. Partitioning decisions have been studied analytically, while only qualitative guidance exists in the literature

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Section: Partitioning and Coordination Decision-makingmentioning

confidence: 99%

“…Formal partitioning approaches using FDT or DSM information are important, as they may identify nonintuitive but useful partitions [14].…”

Section: Partitioning and Coordination Decision-makingmentioning

confidence: 99%

Optimal Partitioning and Coordination Decisions in Decomposition-Based Design Optimization

Allison

Kokkolaras

Papalambros

2007

Volume 6: 33rd Design Automation Conference, Parts a and B

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“…These are extensions to the DSM which allow modelling of linkages between different types of element (Kusiak and Wang 1993a;Danilovic and Browning 2007;Lindemann et al 2009;Bartolomei et al 2012). Danilovic and Browning (2007) discuss application of DMMs to explore connectivity between the process domains of tasks, components, and teams.…”

Section: Domain-integrating Task Network Modelsmentioning

confidence: 99%

Process models in design and development

2017

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Many models of the design and development process have been published over the years, representing it for different purposes and from different points of view. This article contributes an organising framework that clarifies the topology of the literature on these models and thereby relates the main perspectives that have been developed. The main categories of model are introduced. Their contexts, advantages, and limitations are considered through discussion of selected examples. It is demonstrated that the framework integrates coverage of earlier reviews and as such provides a new perspective on the literature. Finally, key characteristics of design and development process models are discussed considering their applications in practice, and opportunities for further research are suggested. Overall, the article should aid researchers in positioning new models and new modelling approaches in relation to state-of-the-art. It may also be of interest to practitioners and educators seeking an overview of developments in this area.

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“…Several DSM-based optimization methods are proposed to reorder the discipline sequence [39,[42][43][44]. These methods try to minimize the number of feedback coupling loops [45,46], or minimize an integrated objective taking other factors, for example, time, cost, and modularity, into account [43,47]. Partitioning a coupled system into several small subsystems is another objective to reduce the complexity of the problems [41,44].…”

Section: The Optimal Discipline Sequence Modelmentioning

confidence: 99%

A Method for Multidisciplinary System Analysis Based on Minimal Feedback Variables

Yin

Wang

2017

Mathematical Problems in Engineering

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As modern engineering design usually involves dependence of one discipline on another, multidisciplinary system analysis (MDSA) plays an important role in the multidisciplinary simulation and design optimization on coupled systems. The paper proposes an MDSA method based on minimal feedback variables (MDSA MF) to enhance the solving efficiency. There are two phases in the method. In phase 1, design structural matrix (DSM) is introduced to represent a coupled system, and each off-diagonal element is denoted by a coupling variable set; then an optimal sequence model is built to obtain a reordered DSM with minimal number of feedback variables. In phase 2, the feedback in the reordered DSM is broken, so that the coupled system is transformed into one directed acyclic graph; then, regarding the inputs depending on the broken feedback as independent variables, a least-squares problem is constructed to minimize the residuals of these independents and corresponding outputs to zero, which means the multidisciplinary consistence is achieved. Besides, the MDSA MF method is implemented in a multidisciplinary platform called FlowComputer. Several examples of coupled systems are modeled and solved in the platform using several MDSA methods. The results demonstrate that the proposed method could enhance the solving efficiency of coupled systems.

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Decomposition of the Design Process

Cited by 165 publications

References 4 publications

Optimal Partitioning and Coordination Decisions in Decomposition-Based Design Optimization

Optimal Partitioning and Coordination Decisions in Decomposition-Based Design Optimization

Process models in design and development

A Method for Multidisciplinary System Analysis Based on Minimal Feedback Variables

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