scholarly journals An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Xifan Yao ◽  
Jifeng Zhou ◽  
Yongxiang Li ◽  
Erhui Liu
Keyword(s):  
Multidisciplinary Design Optimization ◽  
Clustering Algorithms ◽  
Collaborative Optimization ◽  
Design Structure Matrix ◽  
Optimization Approach ◽  
Structure Matrix ◽  
Matrix Algorithms ◽  
Design Structure ◽  
Solution Efficiency ◽  
Efficiency And Reliability

To improve the solution efficiency and reliability of multidisciplinary design optimization (MDO), an enhanced MDO approach, called sequenced collaborative optimization (SCO), is proposed. The proposed approach introduces the design structure matrix (DSM) to describe the coupling effects among disciplines and aggregates those mutually coupling disciplines into the strong tie groups among similar ones and the weak tie among heterogeneous ones through clustering algorithms. Further, those in the same group are sequenced by the DSM division algorithm. Moreover, by adding constraints, the groups are made independent, resulting in a tree structure without loops, thus decoupling the original multidisciplinary problem into several independent collaborative optimization modules. In the end, an example is employed to verify the efficiency and reliability of the approach.

Fast Hybrid Genetic Clustering Algorithm for Design Structure Matrix

2013 ◽  
Author(s):  
Fredrik Borjesson ◽  
Ulf Sellgren
Keyword(s):  
Clustering Algorithm ◽  
Minimum Description Length ◽  
Clustering Algorithms ◽  
Optimal Solution ◽  
Design Structure Matrix ◽  
Computer Algorithms ◽  
Structure Matrix ◽  
Design Structure ◽  
Genetic Clustering ◽  
Time Required

Module formation is the step in which a product’s architecture is established in such a way that complex interactions are intra-modular and inter-modular interactions are more simple. If a matrix representation exists, such as a Design Structure Matrix, this involves clustering system entities into groups with strong intra-dependencies. For simple products, clustering may be done manually, but for complex products, computer tools are required. Existing clustering algorithms are either slow, or unable to guarantee a globally optimal solution. To enable iterative work and to make cluster analysis useful also in the detailing steps, efficient and effective computer algorithms are required. This paper presents an efficient and effective Genetic clustering algorithm, with the Minimum Description Length measure. To significantly reduce the time required for the algorithm to find a good clustering result, a knowledge aware heuristic element is included in the GA process. The efficiency and effectiveness of the algorithm is verified with four case studies.

Analysis of Engineering Change Based on Product Development Network

2011 ◽  
Vol 314-316 ◽  
pp. 1607-1611
Author(s):  
Zhong Wei Gong ◽  
Hai Cheng Yang ◽  
Rong Mo ◽  
Tao Chen
Keyword(s):  
Product Development ◽  
Design Structure Matrix ◽  
Complex Activity ◽  
Engineering Change ◽  
Structure Matrix ◽  
Manufacturing Enterprises ◽  
Design Structure ◽  
Development Network ◽  
Motorcycle Engine

Engineering change is an important and complex activity for manufacturing enterprises. In order to improve the efficiency of engineering change, designers should pay different attentions to different nodes of product development network. In that case, a method of classifying the nodes was proposed. First, we proposed a method to cluster the nodes based on design structure matrix; then, we analyzed the indexes for evaluating the importance of nodes and studied the method of classifying the nodes of product development network; finally, the experiment of managing a type of motorcycle engine was employed to validate our method and it showed the correctness of the proposed method.

Multidisciplinary Design Optimization of a Lunar Lander’s Soft-Landing Gear

2010 ◽  
Vol 42 ◽  
pp. 118-121
Author(s):  
Yun Tong Lu ◽  
Chun Jie Wang ◽  
Ang Li ◽  
Han Wang
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Rapid Development ◽  
Fem Analysis ◽  
Landing Gear ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Optimization Approach ◽  
Soft Landing ◽  
Multi Body

The rapid development of Multidisciplinary Design Optimization (MDO) approach can simultaneously guarantee the cut of cost on design and optimal performance of spacecraft. Based on the theory of Collaborative Optimization approach (CO) of MDO, present paper proposes the method of CO by integrating Pro/E(3D modeling), Patran/Nastran(FEM analysis) and ADAMS(multi-body dynamic analysis) with the Isight software. In the analysis of the soft-landing gear of Lunar Lander, this method can optimize the mass of the landing gear and meanwhile ensures the reliability of structure statics, structure dynamics and multi-body dynamics. Thus the feasibility, applied value and guideline significance of this method in spacecraft structural design are proven.

A risk-based framework with Design Structure Matrix to select alternatives of product modernisation

2016 ◽  
Vol 28 (1) ◽  
pp. 23-46 ◽  
Author(s):  
Guilherme Eduardo da Cunha Barbosa ◽  
Gilberto Francisco Martha de Souza
Keyword(s):  
Design Structure Matrix ◽  
Structure Matrix ◽  
Design Structure
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