Grey Relation Analysis Method for Material Selection Problem with Interval Numbers

2014 ◽  
Vol 1014 ◽  
pp. 492-496 ◽  
Author(s):  
Lian Wu Yang
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
Selection Problem ◽  
Variation Method ◽  
Analysis Method ◽  
Grey Relation Analysis ◽  
Interval Numbers ◽  
Attribute Weights ◽  
Relation Analysis ◽  
Grey Relation

Material selection is an important step in the product design process. Material selection problem contains many influence factors, and thus it is actually a multi-attribute decision making problem. In some situations, measure values cannot or unsuitable to be depicted by crisp numbers. Interval number is a suitable selection in these situations, and for the material selection problem with interval numbers, a new decision making method is developed based on grey relation analysis method. The attribute weights will be determined by the coefficient of variation method. Finally, a practical example is used to illustrate the effectiveness and feasibility of the proposed method.

Grinding Wheel Abrasive in Material Selection Using Fuzzy Grey Relation Analysis Method

2014 ◽  
Vol 1022 ◽  
pp. 18-21 ◽  
Author(s):  
Jian Hua Leng
Keyword(s):  
Material Selection ◽  
Influence Factors ◽  
Selection Problem ◽  
Variation Method ◽  
Grinding Wheel ◽  
Analysis Method ◽  
Grey Relation Analysis ◽  
Abrasive Material ◽  
Relation Analysis ◽  
Grey Relation

Material selection is an important step of product design process. There are often several influence factors in the grinding wheel abrasive material selection problem. This article will put forward a fuzzy grey relation analysis method to the grinding wheel abrasive material selection problem which influences factor (evaluation attribute) values expressed with triangular fuzzy numbers. The Coefficient of variation method will be adopted to determine the evaluation attributes’ weight. Finally, an example is used to analysis the effectiveness and feasibility of the proposed method.

Projection Method for Material Selection Problem with Interval Numbers

2014 ◽  
Vol 1022 ◽  
pp. 14-17 ◽  
Author(s):  
Lian Wu Yang
Keyword(s):  
Decision Making ◽  
Projection Method ◽  
Coefficient Of Variation ◽  
Material Selection ◽  
Influence Factors ◽  
Selection Problem ◽  
Variation Method ◽  
Interval Numbers ◽  
Decision Method ◽  
Multi Attribute Decision Making

Material selection problem is important for the product design, and contains many influence factors. Thus it is actually a multi-attribute decision making (MADM) problems. The aim of this paper is to propose a new decision method based on the projection method for the material selection problem, in which attribute values expressed with interval numbers. An objective determining weights method is proposed according to coefficient of variation method. A practical example is used to illustrate the effectiveness and practicability of the proposed method.

Material Selection Using TOPSIS Combined with Grey Relation Analysis

2014 ◽  
Vol 540 ◽  
pp. 476-479 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Problem ◽  
Grey Relation Analysis ◽  
Real Material ◽  
Selection Decisions ◽  
Multi Attribute Decision Making ◽  
Relation Analysis ◽  
Optimal Material ◽  
Grey Relation ◽  
Selection Of

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Material selection problem is a multi-attribute decision making (MADM) problem, which has several evaluation attributes. The selection decisions are complex, as material selection is more challenging today. This paper proposes a new MADM method for material selection problem. Combining the TOPSIS with grey relation analysis, the method proposed a comprehensive value to evaluate and select the best alternative. A real material selection case is used to demonstrate that the proposed method is effectiveness and feasibility.

A Failure Analysis Method Based on the Combination of FTA and GGRA: A Case Study on an Engine

2021 ◽  
Vol 53 ◽  
pp. 53-66
Author(s):  
Jun Li Shi ◽  
Huai Zhi Wang ◽  
Jun Yu Hu ◽  
Yun Dong Ma ◽  
Ming Yang Ma ◽  
...  
Keyword(s):  
Failure Analysis ◽  
System Failure ◽  
Analysis Method ◽  
Product System ◽  
Grey Relation Analysis ◽  
Complex Product ◽  
Relation Analysis ◽  
Fault Mode ◽  
Grey Relation

As product structure becomes more and more complex, the fault mode presents a diversified trend, and it is more difficult to determine the causes of system failure for a complex product. The main objective of this study is to provide an effective failure analysis method based on the combination of fault trees analysis (FTA) and generalized grey relation analysis (GGRA) for complex product. In this method, the product system failure is defined and the fault tree is constructed by FTA methodology firstly; and then GGRA is employed to identify the correlations between each fault mode and the system failure; finally, the main causes of system failure are identified and the corresponding measures can be made. A case study of a WD615 Steyr engine is conducted throughout the text to verify the validity of this method. The present study would help facilitate the failure and reliability analysis for complex product and benefit designers for the product improvement.

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