A product module identification approach based on axiomatic design and design structure matrix

Cheng, Qiang; Zhang, Guojun; Gu, Peihua; Shao, Xinyu

doi:10.1177/1063293x12453350

Cited by 31 publications

(17 citation statements)

References 32 publications

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“…43,44 However, the potential of DSM was fully explored when it was used for system elements clustering analysis to generate various modular configurations. Numerous works focused their efforts on determining modules through DSM-based clustering, [45][46][47] developing evolutionbased algorithms for clustering, [48][49][50] and developing metrics to measure the degree of modularity of the system. 15…”

Section: Modular System Design Methodologiesmentioning

confidence: 99%

Design structure matrix‐based modularization approach for complex systems with multiple design constraints

Sinha

Han

Suh

2019

Systems Engineering

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Designing a complex system generally requires its decomposition into smaller modular constituents for the ease of design, integration, operation, and future upgrades. Typically, system decomposition analysis is conducted using an abstract system model during the initial system design stage. The design structure matrix (DSM) has been a popular tool for abstract system modeling. In the DSM, systems are modeled and decomposed into modular configurations using published clustering algorithms. In this paper, we present a novel approach for system architecture decomposition and modularization based on the DSM, which can incorporate multiple design constraints into clustering algorithms. Two clustering algorithms are modified to accommodate the system design constraints. The modified algorithms are used to decompose a static inverter (SIV) of an electrical train into modular configurations that include various design constraints. Finally, the results and analysis of the SIV modularization using new modified clustering algorithms are presented.

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Section: Modular System Design Methodologiesmentioning

confidence: 99%

Design structure matrix‐based modularization approach for complex systems with multiple design constraints

Sinha

Han

Suh

2019

Systems Engineering

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“…Figure 8 illustrates the planning process of change from a directed graph to an undirected graph. As parts numbered 4, 5, 7, and 8 have similar commonality (the value is 2), they can be combined into a module according to traditional theoretical calculation (Tseng andJiao, 1997, Browning, 2001;Cheng et al, 2012). But in fact, they cannot form such an entity.…”

Section: An Algorithm For the Dynamic Planning Of Platform And Modulementioning

confidence: 99%

A dynamic planning model based on graph theory for product platform and module

Hou

Huang

et al. 2019

IJMTM

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Platform and module planning results using traditional methods are usually not consistent with the actual situation in product family design (PFD). Research was conducted involving modularisation theory and implementation methods to overcome the difficulty of platform and module dynamic planning/re-design for mass customisation (MC). A graph-theoretical approach was also developed in PFD. Firstly, the commonality and the physical structure of the existing product variants were analyzed in a product family. Part commonality and the physical structure of similar products were then modelled using a directed and an undirected graph, respectively. According to market demands, different platform thresholds and boundary parameters of modules

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“…Beek et al 21 developed a modularization scheme based on a functional model. Cheng et al 25 proposed a new approach for product modularization based on axiomatic design and DSM. These methods clustered components into an independent module according to their relationship, but the partition schemes obtained are not optimized and the calculation amount they require is rather large.…”

Section: Introductionmentioning

confidence: 99%

An integrated modular design methodology based on maintenance performance consideration

Zheng

Feng

Tan

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Maintenance nowadays not only plays a crucial role in the usage phase, but is fast becoming the primary focus of the design stage—especially with general increased emphasis on product service. The modularization of maintenance has been explored rarely by previous researchers, despite its significant potential benefit. Existing modular design methods on life cycle do not sufficiently improve maintenance performance as a whole. In effort to remedy this, this article considers relevant maintenance issues at early stages of product development and presents a novel modular methodology based on the simultaneous consideration of maintenance and modularity characteristics. The proposed method first employs the design structure matrix to analyze the comprehensive correlation among components. Next, based on graph theory, initial modules with high cohesion and low coupling are generated. After that, a maintenance performance multi-objective model is established for further optimization to minimize maintenance costs, minimize differences in the maintenance cycle, and maximize system availability. To conclude, an improved strength Pareto evolutionary algorithm 2 is used for modular optimization. The complete methodology is demonstrated using a case study with a hydraulic press, where results reveal that the optimized modules can reduce maintenance cost under the premise of approximately constant modular performance.

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A product module identification approach based on axiomatic design and design structure matrix

Cited by 31 publications

References 32 publications

Design structure matrix‐based modularization approach for complex systems with multiple design constraints

Design structure matrix‐based modularization approach for complex systems with multiple design constraints

A dynamic planning model based on graph theory for product platform and module

An integrated modular design methodology based on maintenance performance consideration

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