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Research On Fine Management Of Industry Expansion Process Of Huaihua Power Supply Company

Posted on:2017-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:Q W HuFull Text:PDF
GTID:2309330488983570Subject:Business management
Abstract/Summary:PDF Full Text Request
With the energy of the Internet, people put forward new requirements for power supply companies. Enterprises should connect to the distributed acquisition device, energy storage device and power network, oil network and other nodes by ueing the advanced information technology, intelligent management technology, power electronic technology to achieve two-way flow of energy and shared network. The management mode of the traditional power supply enterprise is exposed to the global change. It is difficult to cope with changing environment for part of the power supply companies to expand the process of rough line management, resulting in a long time, high cost,and the loss of customers. So we need a new management mode to change this situation. Fine management originated from Taylor’s scientific management thought, its main content is for the quality and management, excellence in production, to create more customer value. So we need a new management mode to change this situation. Fine management originated from Taylor’s scientific management thought, which main content is for the quality and management, excellence in production to create more customer value. So it is urgent to solve the problems of rough line management and optimize the business process in some enterprises. Huaihua power supply company responses to the requirements of the new era to optimize the process of expansion, but there are still functional machine segmentation, management level overlap, information sharing and other issues in the industry. It is not sensitive, timely enough for the company’s internal business processes in meeting the rapid changes in demand response to hinder the expansion of the market.In view of the above problems, this article uses fine management ideas to further optimize the process through to the Huaihua power supply company to expand the process of research. The content mainly includes the fine management theory and method, analyzing the process of expanding process to find out the problem in the Huaihua power supply company power marketing, reasonably using of fine management method for process optimization. At the same time, formulating measures by analyzing the difficulties in the implementation process to ensure the plan well. At the end, to ensure the realization of the total target of the enterprise, we can use method of quantitative and qualitative analysis to the optimization of the industry expansion process. Mainly uses the literature review method, the comparison method to find out the problem, the fuzzy networkanalysis method to carry on the performance evaluation, the application Visio software development flow chart and the Excel software carries on the data analysis. This article finds problems by using literature review method and comparison method, Fuzzy Analytic Network Process for the performance evaluation, Visio software development flow chart and the Excel software carries on the data analysis.The paper sums up the fine management of the four major methods for the process through analysis of the theory and reading a lot of relevant information,which puts forward the concrete scheme of the business expansion process of fine management.And the fuzzy network algorithm,which combines quantitative analysis and qualitative analysis, is used to evaluate process performance clearly and objectively. These methods can provide reference and inspiration for the process management of the enterprises in the same process. The method of the performance evaluation can also be applied to the decision-making, project selection, which can improve enterprise management level, and realize the fine, standardized, scientific management.
Keywords/Search Tags:fine management, industry expansion process, performance evaluation, Fuzzy Analytic Network Process
PDF Full Text Request
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