Modularization Analysis Approach of Product Family for DFMC Based on Complex Network

Fan, Bei Bei

doi:10.4028/www.scientific.net/amr.712-715.2970

Cited by 3 publications

(5 citation statements)

References 16 publications

(15 reference statements)

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“…e invention of small-world networks (SWN) [33] and scalefree networks (SFN) [34] has facilitated the development of complex network theory, which has promoted researchers to further study the application in industrial product design. Relevant researches mainly focus on product knowledge pushing [32], product family design [35,36], information flows across product development stages [37], product competition research [38], and product lifecycle representation [39].…”

Section: Network Analysismentioning

confidence: 99%

Product Design Evaluation Method Using Consensus Measurement, Network Analysis, and AHP

Yanpu

Tian

Jiao

2019

Mathematical Problems in Engineering

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Product evaluation practices spread throughout from initial creative stages to final products before communicating them to the market. They emphasize on assessing design alternatives against specified criteria, which can help promote design process, ensure design quality, and diminish design risk before making a decision. However, how to identify and improve the reliability of product evaluation opinions toward design alternatives has an important role in adding additional insurance and reducing uncertainty to successful product design. Aiming at this issue, this study employs a consensus model by integrating network analysis and analytic hierarchy process (AHP) method. The consensus model is constructed to measure the consistency of evaluators’ preferences and determine the rounds of evaluation. Complex network theory is integrated into the product evaluation process for network analysis of evaluators’ opinions, which can help determine evaluators’ weights in each evaluation round dynamically by changing the network topology. To obtain the weight of product evaluation indices, the AHP method is applied to avoid subjectivity given by evaluators. The process of the proposed method is presented, and the details are illustrated using a product evaluation example. The case study demonstrates that the proposed method is promising for improving the consensus level of evaluators’ opinions, reducing the influence of subjectivity, and finally improving the quality of design decision-making.

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Section: Network Analysismentioning

confidence: 99%

Product Design Evaluation Method Using Consensus Measurement, Network Analysis, and AHP

Yanpu

Tian

Jiao

2019

Mathematical Problems in Engineering

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“…Moreover, a simple-path detecting algorithm is studied for product module division by Fan et al [17].…”

Section: Product Modulementioning

confidence: 99%

“…Finding: In total, 6.7% of selected papers (10 papers) [15][16][17][18][19][20][21][22][23][24] are on this topic. It is obvious that product module partition gets much more attention compared to product configuration.…”

Section: Product Modulementioning

confidence: 99%

Complex networks in advanced manufacturing systems

Tao

Cheng

et al. 2017

Journal of Manufacturing Systems

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“…However, most modeling objects are dependent on the product and do not consider the module organization structure of a variety of products. Using the same parts in the product family as the coincidence point and establishing multiproduct network models through product tree superposition have been proposed [8] to place products and components in the same network for research, but multilevel relationships among products, modules, components, and others coexist, which is not conducive to the evolution of research modules.How to ensure the stability of the module organization structure when researching the module evolutionModule evolution promotes changes in the modules' organization structure, and the direction of module evolution directly affects the optimization of the module organization structure. As a complex system, the stability of module organization is critical.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Product Module Network Modeling and Evolution Analysis

Jiang

et al. 2019

Computational Intelligence and Neuroscience

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Modular technology for product design and manufacturing is an effective way to solve mass customization problems. One difficulty in the application of modular technology is that the characteristics of mass customization, such as multi batch and small batch, easily increase the complexity of the module structure of the enterprise products. To address this problem, based on complex network theory, the enterprise products module is mapped as the vertex of the network, the number of modules used is mapped as the node weight, the dependency between the modules is mapped to the edge, and the product module network is established. The brittleness risk entropy of the product module network is put forward by considering the internal and external factors that influence the application of the enterprise module to determine the rationality of the required modules' organizational structures. Then, the stability uncertainty of the product module network can be determined by calculating the brittleness risk entropy, in which the subsystem that is the most brittle risk entropy can be identified. And the evolution of the product module network can be promoted by changing factors of the entropy maximum subsystem. To analyze the change in the product module network caused by module evolution, a BBV (Barrat–Barthelemy–Vespignani) model of the product module network is established to dynamically determine the brittle risk of the product module network. Finally, the modularity structure of a series of special vehicles is used as an example to verify the presented method, and the results confirm the rationality and effectiveness of the method.

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Modularization Analysis Approach of Product Family for DFMC Based on Complex Network

Cited by 3 publications

References 16 publications

Product Design Evaluation Method Using Consensus Measurement, Network Analysis, and AHP

Product Design Evaluation Method Using Consensus Measurement, Network Analysis, and AHP

Complex networks in advanced manufacturing systems

Product Module Network Modeling and Evolution Analysis

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