Research on node importance evaluation of complex products based on three-parameter interval grey number grey relational model

2021 ◽  
pp. 1-18
Author(s):  
Congdong Li ◽  
Weiming Yang ◽  
Yinyun Yu ◽  
Bingjun Li
Keyword(s):  
Evaluation Index System ◽  
Relational Model ◽  
Effective Control ◽  
Engineering Change ◽  
Complex Product ◽  
Complex Products ◽  
Node Importance ◽  
Multi Stage ◽  
Grey Relational ◽  
Important Nodes

In the process of product development, the identification and evaluation of important nodes is of great significance for the effective control of complex product engineering change. In order to identify and evaluate important nodes accurately, this paper proposes a method to evaluate the importance of complex product nodes. Firstly, an engineering change expression method based on multi-stage complex network is proposed. Then, the evaluation index system of important nodes of complex products is constructed. A three parameter grey relational model based on subjective and objective weights is proposed to identify and evaluate the important nodes of complex products. Finally, an example of a large permanent magnet synchronous centrifugal compressor is analyzed. The example shows that the top nodes are node 4, 1, 7, 9 and 24. Compared with other experiments, the proposed method can effectively and reasonably evaluate the node importance of complex products.

scholarly journals Change impact analysis of complex product based on three-parameter interval grey number grey relational model

2021 ◽  
Author(s):  
Weiming Yang ◽  
Congdong Li ◽  
Yinyun Yu ◽  
Bingjun Li
Keyword(s):  
Permanent Magnet ◽  
Impact Evaluation ◽  
Impact Analysis ◽  
Evaluation Index System ◽  
Relational Model ◽  
Engineering Change ◽  
Complex Product ◽  
Change Impact ◽  
Engineering Changes ◽  
Grey Relational

Abstract Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of change impact evaluation,this paper firstly expresses engineering changes based on multi-stage complex networks. Then, it constructs the evaluation index system of complex product engineering change impact. Next, based on the combination weighted three-parameter grey relational model, the engineering change impact of complex product is evaluated. Finally, a case analysis was carried out with the permanent magnet synchronous centrifugal compressor in a large permanent magnet synchronous centrifugal unit to verify the effectiveness of the proposed method.

scholarly journals Research on Importance Evaluation of Complex Product Parts Based on Multilayer Complex Network

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Weiming Yang ◽  
Congdong Li ◽  
Yinyun Yu ◽  
Mingsheng Zhong
Keyword(s):  
Product Design ◽  
Complex Network ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Relational Model ◽  
Design Stage ◽  
Multilayer Network ◽  
Analytic Hierarchy ◽  
Complex Product ◽  
Node Importance

The identification and evaluation of important parts play an important role in effective production arrangement and shortening the product development in the product design stage. In this paper, a complex product node importance evaluation method based on multilayer network is proposed to identify and evaluate importance parts faster. First, a complex product design expression network based on “function behavior structure (FBS)” multilayer complex network is established. Second, the evaluation index system of important design parts for complex products based on multilayer network is constructed. Third, a three-parameter grey relational model based on the fuzzy analytic hierarchy process and the Gini coefficient method is proposed. Finally, this method is available and feasible through taking the large permanent magnet synchronous centrifugal unit as an example.

scholarly journals PROPOSING A SPECIFICATION STRUCTURE FOR COMPLEX PRODUCTS IN MODEL-BASED SYSTEMS ENGINEERING (MBSE)

2021 ◽  
Vol 1 ◽  
pp. 2481-2490
Author(s):  
Joshua Fahl ◽  
Tobias Hirschter ◽  
Gabriel Wöhrle ◽  
Albert Albers
Keyword(s):  
Systems Engineering ◽  
Student Development ◽  
Success Factors ◽  
Research Work ◽  
Development Project ◽  
Product Complexity ◽  
Complex Product ◽  
Complex Products ◽  
Model Based Systems Engineering ◽  
Product Specification

AbstractThis research work presents a methodological support for the specification of complex products. This is achieved by developing a specification structure in a MBSE environment. The new method draws on success factors of complex product specification, principles of MBSE and the explanatory model of PGE – Product Generation Engineering. For evaluation, the method is applied within a student development project. A high applicability and the realization of novel synergies for coping with continuously increasing product complexity is demonstrated.

scholarly journals HS-stability and complex products in involution semigroups

2021 ◽  
Author(s):  
Bertalan Bodor ◽  
Erkko Lehtonen ◽  
Thomas Quinn-Gregson ◽  
Nikolaas Verhulst
Keyword(s):  
Complex Product ◽  
Complex Products ◽  
Special Cases

AbstractWhen does the complex product of a given number of subsets of a group generate the same subgroup as their union? We answer this question in a more general form by introducing HS-stability and characterising the HS-stable involution subsemigroup generated by a subset of a given involution semigroup. We study HS-stability for the special cases of regular $${}^{*}$$ ∗ -semigroups and commutative involution semigroups.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

Surface Image Edge Detection Algorithm Based on Grey Relational Analysis

2012 ◽  
Vol 461 ◽  
pp. 343-346 ◽  
Author(s):  
Gang Li ◽  
Ying Fang ◽  
Ya La Tong
Keyword(s):  
Edge Detection ◽  
Good Method ◽  
Detection Algorithm ◽  
Relational Model ◽  
Small Data ◽  
The Road ◽  
Image Edge Detection ◽  
Surface Image ◽  
Image Edge ◽  
Grey Relational

Automatic detection of pavement cracks is one of the very hot topics. For the characteristics of “small data, poor information” in the surface image processing, we construct ed a grey image relational model to characterize the local image edge feature, by selecting the appropriate threshold to extract the edge of appropriate level. Finally, simulation experiments show that the new algorithm can effectively improve the road edge detection results, and it is an effective good method worthy further study.

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