A Grey Relational Analysis on Factors Affecting the Price of Commercial Housing

ICCREM 2013 ◽  
2013 ◽  
Author(s):  
Yepeng Hu ◽  
Pengyan Li
Keyword(s):  
Grey Relational Analysis ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Commercial Housing ◽  
Grey Relational

scholarly journals Factors affecting the effectiveness of quality control circles in a hospital using a combination of fuzzy VIKOR and Grey Relational Analysis

2018 ◽  
Vol 27 (3) ◽  
pp. 180-186 ◽  
Author(s):  
Mohammadkarim Bahadori ◽  
Ehsan Teymourzadeh ◽  
Foad Faizy Bagejan ◽  
Ramin Ravangard ◽  
Mehdi Raadabadi ◽  
...  
Keyword(s):  
Quality Control ◽  
Grey Relational Analysis ◽  
Sampling Method ◽  
Reward System ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Fuzzy Vikor ◽  
Use Of Resources ◽  
Grey Relational ◽  
Goals And Objectives

Background: One of the techniques used to achieve productivity, employees’ job satisfaction and higher quality goods and services, as well as to solve the problems by using a team, is the formation of quality control circles. Quality control circles enable managers to meet the organization’s and employees’ needs through making effective use of resources and facilities. On the other hand, the quality of services is always affected by uncertainty and ambiguous and implicit judgments, which make its measurement uncertain. Aim: The present study aimed to identify important factors affecting the effectiveness of quality control circles in a hospital, as well as rank them using a combination of fuzzy VIKOR and Grey Relational Analysis (GRA). Methodology: This was an applied, cross-sectional and descriptive–analytical study conducted in 2016. The study population consisted of five academic members and five experts in the field of nursing working in a hospital, who were selected using a purposive sampling method. Also, a sample of 107 nurses was selected through a simple random sampling method using their employee codes and the random-number table. The required data were collected using a researcher-made questionnaire which consisted of 12 factors. The validity of this questionnaire was confirmed through giving the opinions of experts and academic members who participated in the present study, as well as performing confirmatory factor analysis. Its reliability also was verified (α=0.796). The collected data were analyzed using SPSS 22.0 and LISREL 8.8, as well as VIKOR–GRA and IPA methods. Results: The results of ranking the factors affecting the effectiveness of quality control circles showed that the highest and lowest ranks were related to ‘Managers’ and supervisors’ support’ (Š = 6.80, [Formula: see text] = 0.36) and ‘Group leadership’ (Š = 2.63, [Formula: see text] = 0.98). Also, the highest hospital performance was for factors such as ‘Clear goals and objectives’ and ‘Group cohesiveness and homogeneity’, and the lowest for ‘Reward system’ and ‘Feedback system’, respectively. Conclusion: The results showed that although ‘Training the members’, ‘Using the right tools’ and ‘Reward system’ were factors that were of great importance, the organization’s performance for these factors was poor. Therefore, these factors should be paid more attention by the studied hospital managers and should be improved as soon as possible. Applying quality control circles in any organization is very helpful and provides opportunities for maximum use of employees’ creativity, initiative and skills in reaching their and their organization’s goals and objectives, and prepares favorable working conditions for the employees’ optimal performance through increasing the managers’ sense of responsibility and commitment.

Optimization of Reaming Process Parameters for Titanium Ti-6Al-4V Alloy Using Grey Relational Analysis

2016 ◽  
Author(s):  
Shakeel Ahmed L. ◽  
Pradeep Kumar M.
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Research Work ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Factors Affecting ◽  
Significant Control ◽  
Relational Analysis ◽  
Control Factors ◽  
Grey Relational

Reaming is one of the finishing processes that have been widely applied in manufacturing industries. Reaming of Titanium Ti-6Al-4V alloy material is an important and current research topic on manufacturing processes. Optimal process parameter setting is an important element in the machinability study of Titanium Ti-6Al-4V alloy. Optimization has most significant importance, particularly for reaming operations. This research work focuses on the multi-response optimization of reaming process parameters using the Taguchi and Grey relational technique to obtain minimum cutting temperature (T), thrust force (Ft), torque (Mt), surface roughness (Ra) and hole quality. The experiments were performed on Titanium Ti-6Al-4V alloy using uncoated carbide straight shank reamer under wet and cryogenic LN2 conditions. Eighteen experimental runs (L18) based on the Taguchi method of orthogonal arrays were performed to determine the best factor level condition. The environment, cutting speed and feed rate were selected as control factors. Grey relational analysis was used to determine the most significant control factors affecting the output parameters. Grey relational grade obtained from the grey relational analysis was used to solve the reaming process with the optimal levels of the multiple performance characteristics responses were established. The optimum results indicate that the reaming results have been improved in wet coolant than the cryogenic LN2 condition.

scholarly journals External Financing Efficiency of Rural Revitalization Listed Companies in China—Based on Two-Stage DEA and Grey Relational Analysis

2019 ◽  
Vol 11 (16) ◽  
pp. 4413
Author(s):  
Xianhua Tan ◽  
Sanggyun Na ◽  
Lei Guo ◽  
Jing Chen ◽  
Zhihua Ruan
Keyword(s):  
Capital Structure ◽  
Grey Relational Analysis ◽  
Rural Areas ◽  
Listed Companies ◽  
Governance Structure ◽  
Two Stage ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Rural Revitalization ◽  
Grey Relational

Rural revitalization is an important strategy to promote sustainable development of rural areas in China. Rural revitalization listed companies play an important role in implementing the rural revitalization strategy and developing the agricultural industry. However, the financing problem has always been a bottleneck problem with Chinese listed companies. This study used a two-stage DEA (data envelopment analysis) method to evaluate the funds raising efficiency, funds using efficiency, and overall financing efficiency of 34 rural revitalization listed companies in 2018. The results show that the financing efficiencies of 34 sample companies were low, only six companies have overall efficient financing, and there was much room for improvement. Financing efficiency varied greatly depending on the nature of the company, the industry, and the listing board. The efficiency of funds using of state-owned enterprises was much lower than that of private companies. The average efficiency value of agricultural company funds raising was lower than that of manufacturing. The efficiency of small and middle-size enterprises (SMEs) was lower than that of main board companies, but the growth enterprise market (GEM) companies achieved higher efficiency in the funds using. Further, by using the grey relational analysis (GRA) method, we found that the key factors affecting the financing efficiency of sample companies included capital structure, debt-paying ability, governance structure, company age, and operating ability. To improve financing efficiency, the companies should not only optimize their capital structure and governance structure but also improve their management and innovation capabilities. At the same time, the state also needs to give different policies support according to the characteristics of the companies.

AN INTEGRATED APPROACH FOR SELECTING A VENDOR USING GREY RELATIONAL ANALYSIS

2006 ◽  
Vol 05 (02) ◽  
pp. 277-295 ◽  
Author(s):  
A. NOORUL HAQ ◽  
G. KANNAN
Keyword(s):  
Grey Relational Analysis ◽  
Integrated Approach ◽  
Vendor Selection ◽  
Chain Model ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Selection Decisions ◽  
Proposed Model ◽  
Supply Chain Model ◽  
Grey Relational

This paper develops a new model for evaluating and selecting the vendor using an integrated approach of Grey Relational Analysis (GRA) along with an Analytical Hierarchy Process (AHP) in a Forward Supply Chain Model (FSCM). The paper aims to demonstrate how the model can help in solving such decisions in practice. It also examines the structure of the decision hierarchy, whether it can represent vendor selection decisions in reality and whether it covers all key factors affecting vendor selection choices. The effectiveness of the GRA model is illustrated with an Original Equipment Manufacturing (OEM) industry in southern part of India and the results of GRA were validated using the result obtained from AHP. The proposed model helps the industry to effectively select the vendor.

Evaluating the Influence of Mix Proportion Parameters on Anti-Permeability of Green High Performance Concrete with Grey Relational Analysis

2011 ◽  
Vol 250-253 ◽  
pp. 857-860
Author(s):  
Qiao Yan Guan ◽  
Peng Zhang
Keyword(s):  
Influencing Factors ◽  
Grey Relational Analysis ◽  
High Performance ◽  
High Performance Concrete ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Mix Proportion ◽  
Binder Ratio ◽  
Grey Relational ◽  
Water Binder Ratio

The aim of this study was to evaluate the influence of mix proportion parameters on anti-permeability of green high performance concrete (GHPC) and find out the main influencing factors. Applying grey relational analysis method, the relational grades between the influencing factors and diffusion coefficient of Cl- of GHPC were calculated. Besides, the sequence result of influencing degree of the factors to affect the anti-permeability was obtained. The result shows that the importance of the factors affecting anti-permeability of GHPC has following sequence: water-binder ratio> sand ratio > dosage of cement> dosage of water reducing admixture > dosage of mineral fillers > dosage of fly ash. In order to improve anti-permeability of GHPC, water-binder ratio and sand ratio must be controlled strictly.

scholarly journals Research on Human-Error Factors of Civil Aircraft Pilots Based On Grey Relational Analysis

2018 ◽  
Vol 151 ◽  
pp. 05005 ◽  
Author(s):  
Yundong Guo ◽  
Youchao Sun ◽  
Si Chen
Keyword(s):  
Grey Relational Analysis ◽  
Human Error ◽  
Human Factor ◽  
Civil Aviation ◽  
Aviation Accidents ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Civil Aircraft ◽  
Grey Relational ◽  
Aircraft Pilots

In consideration of the situation that civil aviation accidents involve many human-error factors and show the features of typical grey systems, an index system of civil aviation accident human-error factors is built using human factor analysis and classification system model. With the data of accidents happened worldwide between 2008 and 2011, the correlation between human-error factors can be analyzed quantitatively using the method of grey relational analysis. Research results show that the order of main factors affecting pilot human-error factors is preconditions for unsafe acts, unsafe supervision, organization and unsafe acts. The factor related most closely with second-level indexes and pilot human-error factors is the physical/mental limitations of pilots, followed by supervisory violations. The relevancy between the first-level indexes and the corresponding second-level indexes and the relevancy between second-level indexes can also be analyzed quantitatively.

Evaluation on Compressive Strength and Workability of Green High-Performance Concrete by Grey Relational Grade

2013 ◽  
Vol 438-439 ◽  
pp. 166-169
Author(s):  
Xin Zhang ◽  
Dong Yang
Keyword(s):  
Compressive Strength ◽  
Grey Relational Analysis ◽  
High Performance ◽  
High Performance Concrete ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Mix Proportion ◽  
Binder Ratio ◽  
Grey Relational ◽  
Water To Binder Ratio

Applying grey relational analysis method, this paper calculated the relational grades between the mix proportion parameters and the compressive strength, the slump of green high-performance concrete (GHPC) respectively. Besides, the sequence results of influencing degree of the factors affecting the compressive strength and workability were obtained. The results indicate that the compressive strength and slump of GHPC are affected by various mix proportion factors with different sensitivity, and the sensitivity could be well analyzed by the grey relational analysis. Among the four selected parameters of mix proportion such as water to binder ratio, cement dosage, fly ash dosage and sand ratio, the water to binder ratio and the cement dosage greatly influence on the compressive strength of GHPC, the water to binder ratio and the sand ratio greatly influence on the workability of GHPC.

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