Open AccessStudy on Application of Optimum Index Factor in the Electric Power Benchmarking
Author(s) -
Yaoping Wang,
Tan ye xin,
Bin Song
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1346/1/012002
Subject(s) - benchmarking , analytic hierarchy process , index (typography) , computer science , key (lock) , electric power , process (computing) , hierarchy , work (physics) , transmission (telecommunications) , reliability engineering , power (physics) , industrial engineering , operations research , business , engineering , telecommunications , marketing , market economy , mechanical engineering , physics , computer security , quantum mechanics , world wide web , economics , operating system
Benchmarking is a widely used method of enterprise management, which can improve the management efficiency as well as the competitiveness of enterprises. In the process of electric benchmarking, a great deal of data that generated by multiple links such as power generation, transmission, substation, distribution, consumption and dispatching are not fully utilized. Accordingly, much effective information are not efficiently obtained. Aiming at this and to give a comprehensive consideration to the various factors of the power system, the method of data mining based on hierarchical optimum index factor is proposed to give priority to the development of a suitable electric benchmarking system to appraise the benchmarking professional index. This method takes various factors into account comprehensively and quantifies the development priority hierarchy of indexes. It is simple in form and also easy to calculate so that the key index can be figured out easily. Thus it can enable electric power companies to better determine the key emphasis in work, improve the efficiency of benchmarking management and fully play the role of benchmarking management.