scholarly journals Research on Classification Management Method of Xushen Gas Field

2021 ◽  
Vol 781 (2) ◽  
pp. 022042
Author(s):  
Xie Zonglin ◽  
Jing Min ◽  
Wen Ruixia
2014 ◽  
Vol 672-674 ◽  
pp. 991-995
Author(s):  
Jian Tao Liu ◽  
Yong Jun Liu ◽  
Gang Li ◽  
Shu Hai Feng

The changes of energy pattern and the development of smart grid technologies bring new challenges to the active power balance under normal conditions, but also bring a more extensive means of regulation. This paper make a study on the classification management method of non-emergency reserve in a regional grid. On the basis of the analysis of the influence factors of non-emergency reserve under the ‘Source-Grid-Load’ interactive condition, the classification rule and dispatching method, the capacity computing methods , counting and monitoring methods have been studied. At last, the economic advantage of the classification management method of non-emergency reserve proposed in this paper is analyzed by an example.


2018 ◽  
Vol 38 (4) ◽  
pp. 476-486 ◽  
Author(s):  
Maogen Ge ◽  
Jing Hu ◽  
Mingzhou Liu ◽  
Yuan Zhang

Purpose As the last link of product remanufacturing, reassembly process is of great importance in increasing the utilization of remanufactured parts as well as decreasing the production cost for remanufacturing enterprises. It is a common problem that a large amount of remanufactured part/reused part which past the dimension standard have been scrapped, which have increased the production cost of remanufacturing enterprises to a large extent. With the aim to improve the utilization of remanufacturing parts with qualified quality attributes but exceed dimension, the purpose of this paper is to put forward a reassembly classification selection method based on the Markov Chain. Design/methodology/approach To begin with, a classification standard of reassembly parts is proposed. With the thinking of traditional ABC analysis, a classification management method of reassembly parts for remanufactured engine is proposed. Then, a homogeneous Markov Chain of reassembly process is built after grading the matching dimension of reassembly parts with different variety. And the reassembly parts selection model is constructed based on the Markov Chain. Besides, the reassembly classification selection model and its flow chart are proposed by combining the researches above. Finally, the assembly process of remanufactured crankshaft is adopted as a representative example for illustrating the feasibility and the effectiveness of the method proposed. Findings The reassembly classification selection method based on the Markov Chain is an effective method in improving the utilization of remanufacturing parts/reused parts. The average utilization of remanufactured crankcase has increased from 35.7 to 80.1 per cent and the average utilization of reused crankcase has increased from 4.2 to 14 per cent as shown in the representative example. Originality/value The reassembly classification selection method based on the Markov Chain is of great importance in enhancing the economic benefit for remanufacturing enterprises by improving the utilization of remanufactured parts/reused parts.


Author(s):  
Fei Xue ◽  
Peng Liu ◽  
Xin-ming Meng ◽  
Wen-xin Ti ◽  
Lei Lin ◽  
...  

A set of screening and classification method is proposed in this paper to manage the Systems, Structures and Components (SSCs) of the Pressurized Water Reactor (PWR) for the aging management. The method proposed and carried out in China Nuclear Power Plants (NPP) is based on the systematic aging evaluation method and the management method for the license renewal from International Atomic Energy Agency (IAEA) and U.S. Nuclear Regulatory Commission (NRC), whose successful management methods are discussed in this paper. Considering the importance of the classification management of the SSCs, the classification method is investigated from the aspects of the safety, reliability and replacement of the SSCs with the Nuclear Power Plant operation experience feed-back. With the classification management method, the SSCs are managed economically and effectively for the Nuclear Power Plants in China. The method also makes great foundation for the aging management and residual life evaluation of the PWR in China.


2011 ◽  
Author(s):  
Shu Zhang ◽  
E. Tory Higgins ◽  
Guoquan Chen
Keyword(s):  

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