13 Dec Enterprise hierarchical management based on neural network model
After the enterprise group develops to a certain scale, it will inevitably face the transformation of the group management and control operation mode. A reasonable and effective group management and control system can clarify the parent-subsidiary management interface, match rights and responsibilities, and maximize the overall interests of the group.
Analysis is the basis and premise for enterprises to change policies and improve management methods, and is a powerful means to obtain core competitiveness. According to the enterprise level setting, a hierarchical analysis system should be established. The purpose of management at all levels should be clearly defined and the analysis content should be established. Moreover, only in this way can we analyze, discover and solve problems in production management, and find out the key factors affecting production and operation(Chen, 2019).
At the same time, to improve the hierarchical analysis model, all levels of analysis need to use a combination of quantitative analysis, business analysis and behavioral analysis to establish a standardized analysis model around the management purposes of all levels. Firstly, the economic indicators of operation technology are selected to reflect the production and operation status, and the financial indicators of production and operation are selected to reflect the financial status for quantitative analysis. Secondly, the selected special indicators are analyzed horizontally and vertically to reflect the management status (Zhao et al, 2018).
Third, it conducts behavior analysis through the operation of specific management methods, assessment results, and existing problem analysis of full-staff cost target management. Finally, it implements management responsibilities, formulates management measures, and implements analysis and management into the responsible subject through the “PDCA” management closed-loop for the problems found by the management (Gubler et al, 2018).
Operational analysis is the use of quantitative analysis, business analysis and behavioral analysis to comprehensively analyze the enterprise, so as to adjust the strategy in time, improve the management, improve the production efficiency of the enterprise, and achieve the purpose of increasing profits. For enterprises, it is necessary to establish a sound analysis method, use industry technical indicators, select different combinations according to different management levels, and analyze business conditions and existing problems. The analysis indicators and methods mainly include the following aspects: Improve the management technology and economic evaluation indicators. There are some practical business technology and economic evaluation indicators in the business industry to reflect the production, equipment, technology, work efficiency and other conditions in the business process of the enterprise. It mainly includes five categories of indicators: workload, project quality, operational efficiency indicators, operational safety and operational benefits. Improve production and operation indicators and financial indicators. It is mainly the indicators of income, cost and benefit. The income of the enterprise is mainly based on the income from operating projects and construction, supplemented by the income from operating auxiliary labor services, and combined with other income to form the total income of the enterprise. Analysis of changes in corporate income, can analyze the market situation within a certain period of time. Combined with operating costs, management costs and profits turned over to reflect the benefits of the enterprise within a certain period of time. By analyzing changes in revenue, cost, and profit, it can reflect the quality of business operations. Financial analysis indicators, the most important financial analysis is the accounting statement, which can systematically reflect the financial status and profitability of the enterprise.
- Chen, P. (2019). “Visualization of real-time monitoring datagraphic of urban environmental quality”, Eurasip J. Image Video Process.
- Zhao, K. et al. (2018). “Visual analysis system for market sales data of agricultural products”, IFAC-PapersOnLine
- Gubler, H. et al. (2018). “Helios: history and anatomy of a successful in-house enterprise high-throughput screening and profiling data analysis system”. SLAS Discov.: Adv. Sci. Drug Discov.
- Ping Wang, Hua Bu (2023). “Enterprise hierarchical management based on neural network model”, Optik, Volume 272.