Identifying key industry factors of remanufacturing industry using grey incidence analysis

2016 ◽  
Vol 6 (3) ◽  
pp. 398-414 ◽  
Author(s):  
Wenjie Liu ◽  
Jing Zhang ◽  
Chenfan Wu ◽  
Xiangyun Chang
Keyword(s):  
Grey System Theory ◽  
Grey System ◽  
Annual Sale ◽  
Content Type ◽  
Building Area ◽  
Industry Characteristic ◽  
Grey Incidence Analysis ◽  
Incidence Analysis ◽  
Practical Implications ◽  
Key Industry

Purpose The purpose of this paper is to identify most favorable (or quasi-preferred) industry characteristics of remanufacturing industry and most favorable (or quasi-preferred) industry factors which have an effect on these characteristics so as to improve these factors. Design/methodology/approach Grey system theory has prominent advantage of using few data and uncertainty information to analyze many factors. Therefore, it is more suited for system analysis than traditional statistical analysis methods like regression analysis, variance analysis and principal component analysis, which require massive data, certain probability distribution in the data and few variant factors. So in this paper, grey incidence analysis method, which is an important part of grey system theory, is used to identify industry characteristics and key industry factor of remanufacturing industry in China and then put forward appropriate industrial policies and countermeasures to improve these industry factors. Findings According to the results of this study, it reveals that there are no most favorable industry characteristics and no most favorable industry factors in remanufacturing industry of China. “Annual sale of remanufacturing industry” is identified as quasi-preferred industry characteristic, and “total number of employees with master degree or above in remanufacturing enterprise” is identified as the quasi-preferred industry factor. “Total building area of remanufacturing enterprise” is referred as the most unfavorable industry factors. Practical implications Judging from the findings of this study, four practical implications are summarized as follows: “annual sale of remanufacturing industry” should be given great importance because it is a quasi-preferred industry characteristic. “Total number of employees with master degree or above in remanufacturing enterprise” and “total number of research institution and university participated in remanufacturing” should be further strengthened by establishing an industry-university-research institute collaboration network, due to the fact that they are the top two quasi-preferred industry factors. “Total investment of remanufacturing industry” and “total annual R&D expenditures” have not played their due role in improving remanufacturing industry, so they should be moderately controlled so as to reduce waste of investment. “Total building area of remanufacturing enterprise” must be strictly controlled because of its little impact on remanufacturing industry. Originality/value In this research, grey incidence analysis is applied to identify key industry factors of remanufacturing industry for the first time. It helps in finding industry factors which are in urgent need of improvement and assists in making appropriate industrial policies and countermeasures to improve them by studying relationships between industry characteristic and industry factors.

scholarly journals Explanation of terms of grey incidence analysis models

2017 ◽  
Vol 7 (1) ◽  
pp. 136-142 ◽  
Author(s):  
Sifeng Liu ◽  
Hongyang Zhang ◽  
Yingjie Yang
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Grey Incidence Analysis ◽  
Incidence Analysis ◽  
Analysis Models ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of grey incidence analysis models. Design/methodology/approach The definitions of basic terms about various grey incidence analysis models are presented one by one. Findings The reader could know the basic explanation about the important terms about various grey incidence analysis models from this paper. Practical implications Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardize all the definitions of terms for a new discipline. It is also propitious to spread and universal of grey system theory.

Explanation of terms of grey numbers and its operations

2016 ◽  
Vol 6 (3) ◽  
pp. 436-441 ◽  
Author(s):  
Sifeng Liu ◽  
Handan Rui ◽  
Zhigeng Fang ◽  
Yingjie Yang ◽  
Jeffrey Forrest
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Universal Principles ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of grey numbers and its operations. Design/methodology/approach The definitions of elementary terms about grey numbers and its operations are presented one by one. Findings The reader could know the basic explanation about the important terms about grey numbers and its operations from this paper. Practical implications Many of the colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardise all the definitions of terms for a new discipline. It is also propitious to spread the universal principles of grey system theory.

Study on the second grey relational grade and its properties

Kybernetes ◽  
2010 ◽  
Vol 39 (8) ◽  
pp. 1330-1335 ◽  
Author(s):  
Yan Ma
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Forecasting Model ◽  
Grey System ◽  
Content Type ◽  
Grey Forecasting ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Practical Implications

PurposeThe purpose of this paper is to propose a second relational grade based on the general grey relational grade and analyze several of its properties.Design/methodology/approachGrey system theory. The paper proposes and studies second grey relational grade, establishes second grey relational formula, and studies several characteristics of second grey relational formula.FindingsProposing a second relational grade proved it could solve the problem of the parallelism partly and weaken relativity of space position.Research limitations/implicationsUntil now, the problem of the consistency could not be solved, nor could the problem of the effect which keeps the sequence the same.Practical implicationsThe precision of the grey forecasting model could be strengthened if used in the forecasting model.Originality/valueThe general relational grade only thinks over the relation between two sequences but does not involve the relation in one sequence. The second relational grade considers these two, so if the forecasting model is established with it, the model should be more exact.

RATR of adaptive angular-sector segmentation based on grey incidence analysis model

2017 ◽  
Vol 7 (1) ◽  
pp. 71-79
Author(s):  
Yongsheng Xiao ◽  
Lizhen Huang ◽  
Jianjiang Zhou
Keyword(s):  
Automatic Target Recognition ◽  
Analysis Model ◽  
Content Type ◽  
Angular Sector ◽  
Grey Incidence Analysis ◽  
Radar Automatic Target Recognition ◽  
Incidence Analysis ◽  
Practical Implications ◽  
Better Than ◽  
High Resolution Range Profile

Purpose The purpose of this paper is to solve the azimuth sensitivity of a high-resolution range profile (HRRP), which is one of the biggest obstacles faced by a radar automatic target recognition (RATR) system. Design/methodology/approach Aimed at addressing the shortcomings of the equal angular-sector segmentation based on the scatterer model, an adaptive angular-sector segmentation is proposed on the basis of grey incidence analysis (GIA). Findings The main conclusions reached are as follows. First, the adaptive angular-sector segmentation in terms of GIA is suitable for RATR based on the HRRP; and, second, the adaptive angular-sector segmentation based on the type-B degree of grey incidence model is better than the Deng-Si degree of grey incidence model and the degree of grey slope incidence model. Practical implications The outcome obtained in this paper can be selected for the RATR application. Originality/value This paper has been built on the basis of previous research achievements, and a new RATR method of adaptive angular-sector segmentation is presented based on the GIA.

scholarly journals Explanation of terms of grey clustering evaluation models

2017 ◽  
Vol 7 (1) ◽  
pp. 129-135 ◽  
Author(s):  
Sifeng Liu ◽  
Yingjie Yang
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Grey Clustering ◽  
Evaluation Models ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of grey clustering evaluation models. Design/methodology/approach The definitions of basic terms about grey clustering evaluation models are presented one by one. Findings The reader could know the basic explanation about the important terms about various grey clustering evaluation models from this paper. Practical implications Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardise all the definitions of terms for a new discipline. It is also propitious to spread and universal of grey system theory.

Explanation of terms of sequence operators and grey data mining

2016 ◽  
Vol 6 (3) ◽  
pp. 442-447 ◽  
Author(s):  
Sifeng Liu ◽  
Naiming Xie ◽  
Yingjie Yang ◽  
Jeffrey Forrest
Keyword(s):  
System Theory ◽  
Data Mining ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Universal Principles ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of sequence operators and grey data mining. Design/methodology/approach The definitions of basic terms about sequence operators and grey data mining are presented one by one. Findings The reader could know the basic explanation about the important terms about sequence operators and grey data mining from this paper. Practical implications Many of the colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardize all the definitions of terms for a new discipline. It is also propitious to spread the universal principles of grey system theory.

Research on Factors Influence of Vegetation Slope Protection Based on Grey Incidence Analysis Theory

2012 ◽  
Vol 226-228 ◽  
pp. 1382-1385
Author(s):  
Feng Chen ◽  
Xiao Bo Xiong ◽  
Zhi Ming Zhai ◽  
Cheng Gu ◽  
Xin Bo Zhang
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Good Prospect ◽  
Grey Theory ◽  
Grey System ◽  
Grey Incidence Analysis ◽  
The Stability ◽  
Incidence Analysis ◽  
The Impact ◽  
Bio Engineering

Vegetation Slope Protection Engineering was affected by several factors, and has become the focus of the geotechnical engineering. The stability of the vegetation slope must be controlled rigorous according to the surrounding environment condition and safety level of the slope in highway. According to the Grey Incidence Analysis (GIA) method of grey system theory, a new grey theory model is applied in analyzing of the characteristics of Eco-engineering protected by roots of vegetation, to attain the correlation coefficient affected by extent of the factors. After analysis of several practical Bio-engineering examples, to attain the most influencing factors of the stability of vegetation slope are the density of roots (ρ), the length of roots (L), the diameter of roots (D), the weight of soil (γ), the anti-pulling force of roots (P), internal friction angle (φ), cohesive strength(c) and the shear strength of the soil (τ). The role of factors is classified in order to define the extent of the impact and provide guidance for construction and design of Eco-engineering. After analyzing the data collected from the field and several classicistic documents, utilized Grey Incidence Analysis method to make prediction in order to guarantee the slope safety. It shows that the grey system theory can be effectively and practically adopted in the slope stability analysis of vegetation slope in expressway and that has a good prospect.

Explanation of terms of concepts and fundamental principles of grey systems

2016 ◽  
Vol 6 (3) ◽  
pp. 429-435 ◽  
Author(s):  
Sifeng Liu ◽  
Yingjie Yang ◽  
Jeffrey Forrest ◽  
Handan Rui
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Universal Principles ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of concepts and fundamental principles of grey systems. Design/methodology/approach The definitions of basic terms about concepts and fundamental principles of grey systems are presented one by one. Findings The reader could know the basic explanation about the important terms about concepts and fundamental principles of grey systems from this paper. Practical implications Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardize all the definitions of terms for a new discipline. It is also propitious to spread the universal principles of grey system theory.

scholarly journals Explanation of terms of grey forecasting models

2017 ◽  
Vol 7 (1) ◽  
pp. 123-128 ◽  
Author(s):  
Sifeng Liu ◽  
Yingjie Yang
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Forecasting Models ◽  
Grey Forecasting ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of grey forecasting models and techniques. Design/methodology/approach The definitions of basic terms about grey forecasting models and techniques are presented one by one. Findings The reader could know the basic explanation about the important terms about various grey forecasting models and techniques from this paper. Practical implications Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardise all the definitions of terms for a new discipline. It is also propitious to spread and universal of grey system theory.

The quantized transformation in Deng’s grey relational grade

2016 ◽  
Vol 6 (3) ◽  
pp. 375-397 ◽  
Author(s):  
Kunli Wen
Keyword(s):  
Design Methodology ◽  
Entropy Method ◽  
Grey System Theory ◽  
Mathematics Model ◽  
Careful Study ◽  
Grey System ◽  
Content Type ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Practical Implications

Purpose Until now, many different varieties of grey relational grade methods had been proposed, and there are also many relevant publications, which include ordinal grey relational grade and cardinal grey relational grade. However, the most original and important formula is Deng’s grey relational grade. After careful study it was found that although it is an ordinal form of grey relational grade, a rational mathematics model can be used to transfer it from ordinal into cardinal. It not only can enhance the essential of Deng’s grey relational grade, but also can let Deng’s grey relational grade be used more widely. The paper aims to discuss these issue. Design/methodology/approach The paper uses fuzzy set theory to get the rational value of distinguish coefficient in Deng’s grey relational grade, then uses grey entropy method to decide the rational weighting for the analysis sequences in Deng’s grey relational grade. Findings Through the mathematics derivation, it indeed can transfer the Deng’s grey relational grade from ordinal form into cardinal form. Practical implications The paper has deeply enhanced the essential of Deng’s grey relational grade, and made Deng’s grey relational grade more available and more usable in grey system theory. Originality/value The paper has transferred the Deng’s grey relational grade from ordinal into cardinal, it can let Deng’s grey relational grade be used in a wider area.

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