Study on Wharf Accidents Based on the Grey Correlation Analysis

2014 ◽  
Vol 505-506 ◽  
pp. 683-688
Author(s):  
Xiao Li Wang ◽  
Xiao Xiao Li ◽  
Wen Ling Guan ◽  
Shi Tao Peng
Keyword(s):  
Quantitative Analysis ◽  
Correlation Analysis ◽  
Related Factors ◽  
Factors Affecting ◽  
Grey Correlation ◽  
Analysis Process ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree ◽  
Poor Management

In order to determine the main related factors affecting the wharf safety, this paper presents a model using the grey correlation analysis process to give a quantitative analysis about accidents in petrochemical wharf. Based on the statistics of wharf accidents in a petrochemical wharf of Tianjin Port from 2008 to 2012, the study analyzes four main accidents and related causes that take place in a petrochemical wharf. The grey correlation degree of the factors are calculated and analyzed including human factor, no emergency measures, equipment damage, poor management, environmental factor in petrochemical wharf, respectively. The result shows that the main causes of accidents are operation against rules and poor management in petrochemical wharf, and operation against rules is the most important factor. The application of grey correlation analysis gives a quantitative analysis to the degree affected by different factors so that wharf accidents can be avoided by taking effective measures.

Measurement of Safety Performance of Construction Sites Using the Improved Grey Correlation Analysis

2012 ◽  
Vol 174-177 ◽  
pp. 3343-3347
Author(s):  
Zuo Wei Zhong ◽  
Peng Xu ◽  
Xiao Long Kang
Keyword(s):  
Correlation Analysis ◽  
Evaluation Model ◽  
Safety Performance ◽  
Actual Condition ◽  
Construction Site ◽  
Construction Sites ◽  
Assessment Index ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis

This paper proposes an improved evaluation model combining grey correlation analysis and AHP method that measures the safety performance of construction site. The safety assessment index system was established relating the actual condition of construction site. The weight of each assessment index was calculated through AHP model which use in grey correlation analysis for breaking through the limitations of conventional method. Then, the grey correlation degree was obtained through calculating the weighted means of grey correlation coefficient, and then, the rank of safety performance level of construction sites was determined. Through this improvement, the assessment results can be more scientific and functional. The effectiveness of our methodology was verified with an empirical study. The results show that this method can be an effective tool to predict the safety performance of construction projects sites, which is useful to reduce the occurrence of the construction safety misadventure.

scholarly journals Research on Decision Methods for Technical Solutions Based on Grey-correlation degree to Vapor Recovery of Refined Oil Terminals

2021 ◽  
Vol 252 ◽  
pp. 03054
Author(s):  
Yuanming Jia ◽  
Yiying Zhou ◽  
Hongmei Deng ◽  
Jing li
Keyword(s):  
Decision Model ◽  
Technical Solution ◽  
Refined Oil ◽  
Grey Correlation ◽  
Decision Method ◽  
Correlation Degree ◽  
Decision Methods ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree ◽  
Technical Solutions

In the process of decision on technical solution to vapor recovery of refined oil terminals, the grey-correlation analysis (GCA) is introduced to optimise technical solutions by building a multi-target decision model and using the sequencing of weighted grey-correlation degree (GCD) of evaluation solution as judgment criteria, to determine the priorities of solutions, and the effectiveness of the decision method is verified by a practical example.

Research on Strategic Supplier Selection and Evaluation Method of Manufacturing Enterprise Based on AHP-GCA Method

2015 ◽  
Vol 752-753 ◽  
pp. 1384-1392
Author(s):  
Bang Lei Wu ◽  
Xiao Juan Chen ◽  
Jing Yu ◽  
Qing Sun
Keyword(s):  
Supplier Selection ◽  
Manufacturing Industry ◽  
Evaluation Method ◽  
Manufacturing Enterprise ◽  
Quantitative Diagnosis ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree ◽  
Hierarchy Process

With application of intelligence technology in the manufacturing industry, the supply chain of manufacturing industry is more and more competitive. Strategic supplier is becoming more and more key element for the success of manufacturing enterprise. At present, there are many methods on selection and evaluation of strategic supplier of manufacturing enterprise. Analytical hierarchy process and grey correlation analysis is method which is used to choose strategic supplier of manufacturing enterprise by building optimum reference date and solving grey correlation degree. These have great effects in the enterprise practice in the aspects of qualitative diagnosis, quantitative diagnosis and grey information processing.

Control of Production Cost Based on Grey Correlation Degree in Wulongquan Mine

2014 ◽  
Vol 668-669 ◽  
pp. 1605-1610
Author(s):  
Li Hua Ke ◽  
Yu Liu ◽  
Yi Cheng Ye
Keyword(s):  
Production Cost ◽  
Production Capacity ◽  
Labor Cost ◽  
Production Costs ◽  
Reference Sequence ◽  
Affecting Factors ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree

In order to solve the problems such as low production capacity, high production costs and insufficient resources utilization in Wulongquan mine, the method of grey correlation analysis has been adopted to analyze the main affecting factors about mine production cost. Considering the changes and tendency of these time sequences, grey absolute correlation degree has been used to reflect the strong-weak degrees and orders of the relationship between reference sequence and comparison sequences better based on non-dimensional values. According to the calculating results, labor cost, depreciation cost and materials cost is main factors. So some appropriate measures have been put forward to control total cost.

Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China's coastal provinces

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Xu ◽  
Qingde Yue ◽  
Binbin Lu
Keyword(s):  
Correlation Analysis ◽  
Relational Model ◽  
Industrial Agglomeration ◽  
Integration Process ◽  
Content Type ◽  
Original Algorithm ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
The Impact

PurposeThe implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.Design/methodology/approachIn traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.FindingsThe authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.Originality/valueThe improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

The Applying of Grey Correlation Degree Theory on Quantitative Area Risk Assessment

2014 ◽  
Vol 915-916 ◽  
pp. 1500-1503
Author(s):  
Qing Min Si ◽  
Hao Zhang ◽  
Jin Lin Wu ◽  
Jing Qi Yu ◽  
Jian Min Yi
Keyword(s):  
Risk Assessment ◽  
Correlation Analysis ◽  
Degree Theory ◽  
Analysis Method ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Correlation Analysis Method ◽  
Grey Correlation Degree

The quantitative area risk assessment (QARA) are definitted based on the characteristics of the area risk assessment, and the model of the QARA are proposesed. Based on the accident consequences analysis method and the theory of grey correlation, it presents the risk correlation analysis method which is used to analysis the risk correlation value between the projects, and discusses the grading method of the risk correlation according to the smooth handling idea. The practical applying results show that the theory of risk correlation has a good practical in QARA.

An Energy Efficiency Assessment Method Based on Grey Correlation Degree Analysis for Transport Airports

2012 ◽  
Vol 616-618 ◽  
pp. 1195-1201 ◽  
Author(s):  
Jing Jie Chen ◽  
Shu Jie Qian
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Comprehensive Evaluation ◽  
Assessment Method ◽  
Evaluation Index System ◽  
Grey Correlation ◽  
Efficiency Assessment ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree

Energy consumption for today's transport airports is a complex system by a number of factors, and the research on energy efficiency assessment methods for transport airports is still in the initial stage at present. Energy efficiency evaluation index system for transport airports has been established. Analytic Hierarchy Process and Grey Correlation Analysis is applied to make a comprehensive evaluation to the energy consumption of transport airports. As a result, the potential for sustainable development of the airports has been dig out and some viable energy-saving measures has been found out.

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