Research On Quota Formulation And Application Of Thermal Power Enterprises Based On Grey System Theory

Enterprise quota is a quantity standard for internal reference based on the technology and management level of the enterprise.Limited by the current market valuation mode and the complexity of enterprise quota preparation,the establishment of enterprise quota makes many construction enterprises more willing but less capable.Facing the adjustment of national industrial structure and the market-oriented reform of project cost,thermal power construction enterprises have to prepare enterprise quota to cope with the current market competition environment.How to quickly and efficiently prepare the internal quota to meet the needs of the market and the actual situation of the enterprise is the problem that the enterprise needs to solve at present.This paper studies the fast and efficient establishment of enterprise quota,starting from the idea of raising problems,analyzing problems and solving problems.Firstly,starting from the evolution path of domestic and foreign quota,the evolution of domestic and foreign project pricing system is reviewed.Starting from the market management difficulties faced by thermal power construction enterprises and the market-oriented reform of project cost,the particularity of thermal power industry and thermal power construction enterprises is analyzed.Starting from the status quo of enterprise quota preparation and the use of quota in thermal power industry,the advantages and disadvantages of traditional method of enterprise quota preparation are analyzed,and the key problems to be solved in the preparation of thermal power enterprise quota and the improvement and applicability of grey system theory for thermal power enterprise quota preparation method are put forward.Secondly,according to the connotation of "Pareto law",put forward in the fast and efficient preparation of thermal power enterprise quota does not need to cover everything,the energy spent on 20% of the key parts can affect 80% of the cost,then analyzed the applicability of "Pareto law" and carried out specific applications,Through the use of "Pareto rule" twice,it is concluded that the largest proportion of the project is the material cost,followed by the labor cost.This paper selects the labor consumption as the research object,and other consumption can be reproduced by referring to the research method of labor consumption.Then,based on the grey system theory and the grey prediction model,the potential inherent development characteristics of the sample data can be predicted.Through the membership relationship between sample engineering and labor consumption of budget quota,the dominant sample engineering data is selected by grey relational analysis.In order to reduce the influence of error,the weighted average of the two is carried out to obtain the consumption data of enterprise quota.Finally,the model is applied in combination with the actual case,and the consumption data measured by the combined model is closer to the real level of the enterprise through comparative analysis of the data.Therefore,the combined model can be better used for the measurement of the enterprise quota consumption data,and the combined model can also better serve the dynamic maintenance of the enterprise quota database.The innovation point of this paper lies in that according to the characteristics of enterprise quota compilation,on the basis of focusing on the large and releasing the small,combined with the grey system theory applied to the characteristics of "small samples,poor information and uncertainty",the efficient and fast compilation work of thermal power enterprise quota is carried out,which greatly simplifies the compilation process of enterprise quota and reduces the compilation workload.At the same time,it can also better serve the dynamic maintenance work of enterprise quota library.By referring to the research results on the enterprise quota compilation method of the Knownet,there is no case of combining grey prediction and grey relational degree.Through case verification,this paper finds that the combined model of the two has good effect and can solve practical problems quickly and efficiently.