Improved Grey Relation Analysis Based on AHP and Shannon Entropy for the Evaluation of Thermal Power Enterprise's Coal Supplier

Author(s):  
Liang Zhang ◽  
Zhiwei Zhao ◽  
Jianchang Lu
2013 ◽  
Vol 26 (8) ◽  
pp. 693-698 ◽  
Author(s):  
Zhigang Zhang ◽  
Guixiang Zhang ◽  
Teng Liu ◽  
Cheng Qian ◽  
Yuanwang Deng

Author(s):  
Trifenaus Prabu Hidayat ◽  
Andre Sugioko ◽  
Jordan Adrian

<p>PT X Indonesia is Facility services company. The scope one of service from this company is managing parking area. Consumers of these companies come from various circles, such as Atma Jaya Catholic University of Indonesia. The management intended to give comfort to motorcycle users. But it is undeniable that the users often feel the deficiency in service provided by the company. Therefore, there needs to analyze important analyze the attributes that have not met expectations of the user. The results of the analysis will be used to provide a solution for PT X Indonesia. in this paper, will use the grey relation analysis method. Grey relation analysis is a weighting method to determine the performance attributes. This method uses a questionnaire to obtain answers from the user. Based on the method selected five attributes that represent the security in the parking area, comfort a canopy (roof guards), and the services at the counter. This paper uses three approach analysis, such as cause analysis, system simulation, and value stream mapping service. The results of this research is an increase in the number of officers watching, installation, CCTV images, the use of a new payment system that is tapping card, use canopy to pedestrian path on the area in the parking lot and an increase in the number of the counter.</p><p>Keywords: PT. X Indonesia, Parking Service, Grey Relation Analysis</p>


Author(s):  
Dilbagh Panchal ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani ◽  
Shankar Chakraborty

The aim of this chapter is to develop a hybrid decision-making framework for studying the risk issues related to failure of an industrial system. On the basis of plant expert's knowledge, failure mode effect analysis (FMEA) sheet has been generated and various failure causes associated with the sub-systems were listed. On the basis of three risk factors, namely probability of occurrence of failure, severity and non-detection (, and ), Risk Priority Numbers (RPN) for each failure cause has been tabulated. The demerits of FMEA approach in prioritizing the failure causes has been overcome by implementing fuzzy rule-based tool. The consistency and heftiness of the ranking results have been tested by implementing grey relation analysis (GRA) approach. Comparison of ranking results has been done for effective decision making of ranking results. The accuracy of decision results would be highly useful in developing a planned maintenance policy for the plant. The proposed framework has been tested with its application on a cooling tower system of a thermal power plant located in the northern part of India.


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