Enterprise management comprehensive evaluation system and method based on multi-dimensional analysis

Abstract

The invention discloses an enterprise management comprehensive evaluation system and method based on multi-dimensional analysis, and particularly relates to the technical field of enterprise management, and the system comprises a management region division module which is used for determining data in a target enterprise as a target management region, and dividing the target management region into sub-regions according to an equitime division mode, sequentially numbering the sub-regions in the target management region as 1, 2,..., i,..., n; the enterprise operation data acquisition module is used for acquiring and collecting enterprise operation data from each information system in an enterprise in real time and transmitting the enterprise operation data to the enterprise operation data processing module; the enterprise condition is analyzed and judged through the enterprise operation data and the enterprise management data at the same time, cross-module data integration and comprehensive analysis are emphasized, and more comprehensive and in-depth evaluation of enterprise management is achieved.

Description

Technical Field

[0001] The present invention relates to the field of enterprise management technology, and more specifically, to an enterprise management comprehensive evaluation system and method based on multi-dimensional analysis. Background Art

[0002] With the continuous expansion of enterprise scale and increasingly fierce market competition, accurate and comprehensive evaluation of enterprise management level is crucial to the sustainable development of enterprises. How to extract valuable information and conduct effective comprehensive evaluation has become a major challenge facing enterprise managers. Therefore, it is particularly important to develop a comprehensive evaluation system that can automatically collect, integrate and analyze data to provide enterprises with a basis for scientific decision-making.

[0003] The traditional enterprise management evaluation system includes human resource management module, scientific and technological innovation module, supply chain management module, and production management module. The human resource management module assists enterprises in recruiting suitable talents, managing employee files, and calculating and distributing salaries; the scientific and technological innovation module performs accounting, cost control, budget management, and fund management, and provides financial statements and analysis; the supply chain management module manages supplier information, conducts procurement and inventory management, and optimizes logistics, transportation, and warehousing management; the production management module formulates production plans, conducts production scheduling and control, and manages production equipment and raw materials.

[0004] However, in actual use, it still has some shortcomings, such as poor data integration capabilities. Traditional enterprise management evaluation systems often focus on data processing and analysis of a single module, lack cross-module data integration and comprehensive analysis; data prediction is inaccurate; traditional evaluation models are usually based on historical data, and predict future development trends by analyzing various corporate indicators over a period of time, and are unable to analyze and judge various corporate indicators in real time; data collection is not comprehensive, and various departments within the enterprise usually use different information systems. It is difficult to achieve seamless docking and sharing of data between these systems, resulting in the inability to fully obtain complete information on the overall operation of the enterprise during data collection, making it impossible for the evaluation results to fully reflect the real situation and potential risks faced by the enterprise.

[0005] Therefore, there is an urgent need to provide a comprehensive enterprise management evaluation system based on multi-dimensional analysis to solve the problems of poor data integration capabilities, inaccurate data prediction, and incomplete data collection in the existing enterprise management evaluation system. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an enterprise management comprehensive evaluation system based on multi-dimensional analysis, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a comprehensive enterprise management evaluation system based on multi-dimensional analysis, comprising: an operation database, a central processing unit and a user information terminal, and also comprising a management area determination module, an enterprise operation data collection module, an enterprise operation data processing module, an enterprise management data collection module, an enterprise management data processing module, a comprehensive data analysis module, a comprehensive evaluation module and a data interaction transmission module;

[0008] The operation database includes all data of a comprehensive enterprise management evaluation system based on multi-dimensional analysis, and collects information output by each module in real time. The central processor is used to centrally control the information instructions output by each module, and the user information terminal is an information output device for receiving a comprehensive enterprise management evaluation system based on multi-dimensional analysis;

[0009] Management area division module: used to determine the data in the target enterprise as the target management area, and divide it into sub-areas according to the equal time division method, and number the sub-areas in the target management area as 1, 2, ..., i, ..., n in sequence;

[0010] Enterprise operation data collection module: used to collect enterprise operation data from various information systems within the enterprise in real time and transmit it to the enterprise operation data processing module;

[0011] Enterprise operation data processing module: used to analyze and process the enterprise operation data collected by the enterprise operation data collection module to obtain the production data impact coefficient, supply chain data impact coefficient and sales data impact coefficient, and transmit them to the comprehensive analysis module;

[0012] Enterprise management data collection module: used to obtain and collect enterprise management data from the enterprise's internal system in real time and transmit it to the enterprise management data processing module;

[0013] Enterprise management data processing module: used to analyze and process the enterprise management data collected by the enterprise management data collection module to obtain the strategic management data influence coefficient, the scientific and technological innovation data influence coefficient and the human resource management data influence coefficient, and transmit them to the comprehensive analysis module;

[0014] Comprehensive data analysis module: used to import the production data impact coefficient value, supply chain data impact coefficient value, sales data impact coefficient value, strategic management data impact coefficient value, scientific and technological innovation data impact coefficient value and human resource management data impact coefficient value obtained by the enterprise operation data processing module and the enterprise management data processing module into the enterprise management mode rationality index mathematical model, obtain the enterprise management mode rationality index value, and transmit it to the comprehensive evaluation module;

[0015] Comprehensive evaluation module: used to compare the enterprise management mode rationality index value obtained by the comprehensive data analysis module with multiple preset enterprise management mode rationality index values, calculate the minimum value of the difference between the enterprise management mode rationality index value and the multiple preset enterprise management mode rationality index values, and when the difference value is less than the preset difference value, transmit the judgment result and the data in the target enterprise to the data interaction transmission module; when the difference value is greater than the preset difference value, transmit the judgment result and the data in the target enterprise to the data interaction transmission module;

[0016] Data interaction and transmission module: used to transmit the judgment results obtained by the comprehensive evaluation module and the data within the target enterprise to the user information terminal, providing reference data for the enterprise to make adjustment measures.

[0017] Preferably, the enterprise operation data processing module includes a production data impact coefficient calculation unit, a supply chain data impact coefficient calculation unit and a sales data impact coefficient calculation unit; the enterprise management data processing module includes a strategic management data impact coefficient calculation unit, a scientific and technological innovation data impact coefficient calculation unit and a human resources management data impact coefficient calculation unit.

[0018] Preferably, the enterprise operation data includes production data influencing parameters, supply chain data influencing parameters and sales data influencing parameters;

[0019] Among them, the parameters affecting production data include enterprise production capacity, denoted by C; production efficiency, denoted by E; defective rate, denoted by D; production energy consumption, denoted by P; the parameters affecting supply chain data include total cost, denoted by Cs; procurement cost, denoted by p; number of suppliers, denoted by x; logistics cost, denoted by c; supply cycle, denoted by T; the parameters affecting sales data include sales revenue, denoted by S; sales volume, denoted by Q; sales cost, denoted by Ck, and sales price, denoted by Pk.

[0020] Preferably, the production data impact coefficient calculation unit is used to import the production data impact parameters into the production data impact coefficient mathematical model to obtain the production data impact coefficient value; the supply chain data impact coefficient calculation unit is used to import the supply chain data impact parameters into the supply chain data impact coefficient mathematical model to obtain the supply chain data impact coefficient value; the sales data impact coefficient calculation unit is used to import the sales data impact parameters into the sales data impact coefficient mathematical model to obtain the sales data impact coefficient value.

[0021] Preferably, the production data impact coefficient mathematical model is specifically:

[0022]

[0023] The mathematical model of supply chain data influencing parameters is as follows:

[0024]

[0025] The mathematical model of sales data impact coefficient is as follows:

[0026]

[0027] Among them C i represents the enterprise capacity in the i-th time period; C min Indicates the enterprise's minimum designed production capacity; E i represents the production efficiency in the i-th time period; E represents the average production efficiency of enterprises in the same industry; P i represents the production energy consumption in the i-th time period; P represents the average production energy consumption of enterprises in the same industry; D i represents the defective rate in the i-th time period; Cs i represents the total cost in the i-th time period; p i represents the purchase cost in the i-th time period; c i represents the logistics cost in the i-th time period; T i represents the supply cycle in the i-th time period; T represents the historical average supply cycle; S i represents the sales volume in the i-th time period; S i-1 represents the sales volume in the i-1th time period; Pk i Pk represents the sales price in the i-th time period; i-1 represents the sales price in the i-1th time period; Ck i represents the sales cost in the i-th time period; Q i represents the sales volume in the i-th time period; Q i-1 represents the sales volume in the i-1th time period.

[0028] Preferably, the enterprise management data includes strategic management data influencing parameters, scientific and technological innovation data influencing parameters and human resource management data influencing parameters;

[0029] Among them, the influencing parameters of strategic management data include the number of strategic goals, denoted by R; the frequency of strategic adjustments, denoted by f; strategic investment resources, denoted by Sci; and total enterprise resources, denoted by ScI; the influencing parameters of scientific and technological innovation data include R&D expenses, denoted by rdi; the proportion of R&D personnel, denoted by rdp; the technology achievement conversion rate, denoted by tcr; and the new technology contribution rate, denoted by ncir; the influencing parameters of human resource management data include employee training coverage rate, denoted by TCR; employee performance excellence rate, denoted by PER; employee performance improvement rate, denoted by ppr; and employee turnover rate, denoted by L.

[0030] Preferably, the strategic management data impact coefficient calculation unit is used to import the strategic management data impact parameters into the strategic management data impact coefficient mathematical model to obtain the strategic management data impact coefficient value; the scientific and technological innovation data impact coefficient calculation unit is used to import the scientific and technological innovation data impact parameters into the scientific and technological innovation data impact coefficient mathematical model to obtain the scientific and technological innovation data impact coefficient value; the human resource management data impact coefficient calculation unit is used to import the human resource management data impact parameters into the human resource management data impact coefficient mathematical model to obtain the human resource management data impact coefficient value.

[0031] Preferably, the mathematical model of the strategic management data influence coefficient is specifically:

[0032]

[0033] The mathematical model of the impact coefficient of scientific and technological innovation data is as follows:

[0034]

[0035] The mathematical model of the impact coefficient of human resource management data is as follows:

[0036]

[0037] Where R i represents the number of strategic goals in the i-th time period, represents the number of planned strategic objectives, f i represents the frequency of strategic adjustment in the i-th time period; Sci i represents the strategic investment resources in the i-th time period, ScI i represents the total resources of the strategic investment resources enterprise in the i-th time period; rdi i represents the R&D expenditure in the i-th time period, rdp i represents the proportion of R&D personnel in the i-th time period, tcr i represents the technology achievement conversion rate in the i-th time period, ncir i represents the contribution rate of new technology in the i-th time period, ncir i-1 Indicates the contribution rate of new technology in the i-1th time period, TCR i represents the employee training coverage rate in the i-th time period, PER i represents the excellent performance rate of employees in the i-th time period, ppr i represents the employee performance improvement rate in the i-th time period; L i represents the employee turnover rate in the i-th time period, and L represents the average employee turnover rate of enterprises in the same industry.

[0038] Preferably, the mathematical model of the enterprise management mode rationality index is specifically:

[0039]

[0040] Preferably, a comprehensive enterprise management evaluation method based on multi-dimensional analysis specifically includes:

[0041] S1, management area division, used to determine the data in the target enterprise as the target management area, and divide it into sub-areas according to the equal time division method, and number the sub-areas in the target management area as 1, 2, ..., i, ..., n in sequence;

[0042] S2, enterprise operation data collection, used to obtain and collect enterprise operation data from various information systems within the enterprise in real time and transmit it to the enterprise operation data processing step;

[0043] S3, enterprise operation data processing, is used to analyze and process the enterprise operation data collected in S2 to obtain the production data impact coefficient, supply chain data impact coefficient and sales data impact coefficient, and transmit them to the comprehensive analysis step;

[0044] S4, enterprise management data collection, used to collect enterprise management data from the enterprise's internal system in real time and transmit it to the enterprise management data processing step;

[0045] S5, enterprise management data processing, is used to analyze and process the enterprise management data collected in S4 to obtain the strategic management data influence coefficient, the scientific and technological innovation data influence coefficient and the human resource management data influence coefficient, and transmit them to the comprehensive analysis step;

[0046] S6, comprehensive data analysis, for importing the production data influence coefficient value, supply chain data influence coefficient value, sales data influence coefficient value, strategic management data influence coefficient value, scientific and technological innovation data influence coefficient value and human resource management data influence coefficient value obtained in S3 and S5 into the enterprise management mode rationality index mathematical model, to obtain the enterprise management mode rationality index value, and transmit it to the comprehensive evaluation step;

[0047] S7, comprehensive evaluation, for comparing the enterprise management mode rationality index value obtained in S6 with a plurality of preset enterprise management mode rationality index values, calculating the minimum value of the difference between the enterprise management mode rationality index value and the plurality of preset enterprise management mode rationality index values, when the difference value is less than the preset difference value, transmitting the judgment result and the target enterprise internal data to the data interactive transmission step, when the difference value is greater than the preset difference value, transmitting the judgment result and the target enterprise internal data to the data interactive transmission step;

[0048] S8, data interaction transmission, is used to transmit the judgment results obtained in S7 and the data within the target enterprise to the user information terminal, and provide reference data for the enterprise to make adjustment measures.

[0049] Technical effects and advantages of the present invention:

[0050] 1. The present invention analyzes and judges the enterprise situation by simultaneously analyzing the enterprise operation data and enterprise management data, emphasizing cross-module data integration and comprehensive analysis, and realizing a more comprehensive and in-depth evaluation of enterprise management;

[0051] 2. The present invention is not only based on historical data, but also pays attention to various indicators of the enterprise in real time. It judges the development status of the enterprise through real-time analysis of current data, and realizes real-time insight and evaluation of the enterprise status;

[0052] 3. The present invention adopts a unified information platform, and the data between these platforms are seamlessly connected and efficiently shared, ensuring that data collection can fully cover all aspects of the overall operation of the enterprise, so that the evaluation results can accurately reflect the real situation and potential risks faced by the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0054] Figure 2 It is a schematic diagram of the structure of the method of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] As attached Figure 1 The enterprise management comprehensive evaluation system based on multi-dimensional analysis shown includes an operation database, a central processing unit and a user information terminal, and also includes a management area determination module, an enterprise operation data collection module, an enterprise operation data processing module, an enterprise management data collection module, an enterprise management data processing module, a comprehensive data analysis module, a comprehensive evaluation module and a data interaction transmission module.

[0057] The operation database includes all data of a comprehensive enterprise management evaluation system based on multi-dimensional analysis, and collects information output by each module in real time. The central processor is used to control the information instructions output by each module. The user information terminal is an information output device for receiving a comprehensive enterprise management evaluation system based on multi-dimensional analysis.

[0058] The management area division module is used to determine the data in the target enterprise as the target management area, and divide it into sub-areas according to an equal time division method, and number the sub-areas in the target management area as 1, 2, ..., i, ..., n in sequence.

[0059] The enterprise operation data acquisition module is used to acquire and collect enterprise operation data from various information systems within the enterprise in real time, and transmit it to the enterprise operation data processing module.

[0060] In this embodiment, it should be specifically explained that the enterprise operation data includes production data influencing parameters, supply chain data influencing parameters and sales data influencing parameters.

[0061] In this embodiment, it should be specifically explained that the production data influencing parameters include enterprise production capacity, denoted by C; production efficiency, denoted by E; defective rate, denoted by D; production energy consumption, denoted by P; supply chain data influencing parameters include total cost, denoted by Cs; procurement cost, denoted by p; number of suppliers, denoted by x; logistics cost, denoted by c; supply cycle, denoted by T; sales data influencing parameters include sales volume, denoted by S; sales volume, denoted by Q; sales cost, denoted by Ck, and sales price, denoted by Pk.

[0062] The enterprise operation data processing module is used to analyze and process the enterprise operation data collected by the enterprise operation data collection module to obtain the production data impact coefficient, the supply chain data impact coefficient and the sales data impact coefficient, and transmit them to the comprehensive analysis module.

[0063] In this embodiment, it should be specifically explained that the enterprise operation data processing module includes a production data impact coefficient calculation unit, a supply chain data impact coefficient calculation unit and a sales data impact coefficient calculation unit.

[0064] In this embodiment, it is specifically necessary to explain that the production data impact coefficient calculation unit is used to import the production data impact parameters into the production data impact coefficient mathematical model to obtain the production data impact coefficient value; the supply chain data impact coefficient calculation unit is used to import the supply chain data impact parameters into the supply chain data impact coefficient mathematical model to obtain the supply chain data impact coefficient value; the sales data impact coefficient calculation unit is used to import the sales data impact parameters into the sales data impact coefficient mathematical model to obtain the sales data impact coefficient value.

[0065] In this embodiment, it should be specifically explained that the mathematical model of the production data influence coefficient is specifically:

[0066]

[0067] The mathematical model of supply chain data influencing parameters is as follows:

[0068]

[0069] The mathematical model of sales data impact coefficient is as follows:

[0070]

[0071] Among them C i represents the enterprise capacity in the i-th time period; C min Indicates the enterprise's minimum designed production capacity; E i represents the production efficiency in the i-th time period; E represents the average production efficiency of enterprises in the same industry; P i represents the production energy consumption in the i-th time period; P represents the average production energy consumption of enterprises in the same industry; D i represents the defective rate in the i-th time period; Cs i represents the total cost in the i-th time period; p i represents the purchase cost in the i-th time period; c i represents the logistics cost in the i-th time period; T i represents the supply cycle in the i-th time period; T represents the historical average supply cycle; S i represents the sales volume in the i-th time period; S i-1 represents the sales volume in the i-1th time period; Pk i Pk represents the sales price in the i-th time period; i-1 represents the sales price in the i-1th time period; Ck i represents the sales cost in the i-th time period; Q i represents the sales volume in the i-th time period; Q i-1 represents the sales volume in the i-1th time period.

[0072] The enterprise management data acquisition module is used to acquire and collect enterprise management data from the enterprise's internal system in real time and transmit it to the enterprise management data processing module.

[0073] In this embodiment, it should be specifically explained that the enterprise management data includes strategic management data influencing parameters, scientific and technological innovation data influencing parameters and human resource management data influencing parameters.

[0074] In this embodiment, it should be specifically explained that the strategic management data influencing parameters include the number of strategic goals, denoted by R; the frequency of strategic adjustments, denoted by f; the strategic input resources, denoted by Sci; the total resources of the enterprise, denoted by ScI; the scientific and technological innovation data influencing parameters include R&D expenses, denoted by rdi; the proportion of R&D personnel, denoted by rdp; the technology achievement conversion rate, denoted by tcr; the new technology contribution rate, denoted by ncir; the human resource management data influencing parameters include employee training coverage rate, denoted by TCR; the employee performance excellence rate, denoted by PER; the employee performance improvement rate, denoted by ppr; the employee turnover rate, denoted by L.

[0075] The enterprise management data processing module is used to analyze and process the enterprise management data collected by the enterprise management data collection module to obtain the strategic management data influence coefficient, the scientific and technological innovation data influence coefficient and the human resource management data influence coefficient, and transmit them to the comprehensive analysis module.

[0076] In this embodiment, it should be specifically explained that the enterprise management data processing module includes a strategic management data influence coefficient calculation unit, a scientific and technological innovation data influence coefficient calculation unit and a human resource management data influence coefficient calculation unit.

[0077] In this embodiment, it should be specifically explained that the strategic management data impact coefficient calculation unit is used to import the strategic management data impact parameters into the strategic management data impact coefficient mathematical model to obtain the strategic management data impact coefficient value; the scientific and technological innovation data impact coefficient calculation unit is used to import the scientific and technological innovation data impact parameters into the scientific and technological innovation data impact coefficient mathematical model to obtain the scientific and technological innovation data impact coefficient value; the human resources management data impact coefficient calculation unit is used to import the human resources management data impact parameters into the human resources management data impact coefficient mathematical model to obtain the human resources management data impact coefficient value.

[0078] In this embodiment, it should be specifically explained that the mathematical model of the strategic management data influence coefficient is specifically:

[0079]

[0080] The mathematical model of the impact coefficient of scientific and technological innovation data is as follows:

[0081]

[0082] The mathematical model of the impact coefficient of human resource management data is as follows:

[0083]

[0084] Where R i represents the number of strategic goals in the i-th time period, R represents the number of planned strategic goals, and f irepresents the frequency of strategic adjustment in the i-th time period; Sci i represents the strategic investment resources in the i-th time period, ScI i represents the total resources of the strategic investment resources enterprise in the i-th time period; rdi i represents the R&D expenditure in the i-th time period, rdp i represents the proportion of R&D personnel in the i-th time period, tcr i represents the technology achievement conversion rate in the i-th time period, ncir i represents the contribution rate of new technology in the i-th time period, ncir i-1 Indicates the contribution rate of new technology in the i-1th time period, TCR i represents the employee training coverage rate in the i-th time period, PER i represents the excellent performance rate of employees in the i-th time period, ppr i represents the employee performance improvement rate in the i-th time period; L i represents the employee turnover rate in the i-th time period, and L represents the average employee turnover rate of enterprises in the same industry.

[0085] The comprehensive data analysis module is used to import the production data impact coefficient values, supply chain data impact coefficient values, sales data impact coefficient values, strategic management data impact coefficient values, scientific and technological innovation data impact coefficient values ​​and human resource management data impact coefficient values ​​obtained by the enterprise operation data processing module and the enterprise management data processing module into the enterprise management mode rationality index mathematical model, obtain the enterprise management mode rationality index value, and transmit it to the comprehensive evaluation module.

[0086] In this embodiment, it should be specifically explained that the mathematical model of the enterprise management mode rationality index is specifically:

[0087]

[0088] The comprehensive evaluation module is used to compare the enterprise management method rationality index value obtained by the comprehensive data analysis module with multiple preset enterprise management method rationality index values, calculate the minimum value of the difference between the enterprise management method rationality index value and multiple preset enterprise management method rationality index values, and when the difference value is less than the preset difference value, transmit the judgment result and the data within the target enterprise to the data interaction transmission module; when the difference value is greater than the preset difference value, transmit the judgment result and the data within the target enterprise to the data interaction transmission module.

[0089] In the present embodiment, it is specifically necessary to explain that the preset enterprise management method rationality index value is the average of the enterprise management method rationality index values ​​under different historical standards; the preset difference value is the average of the difference values ​​between the enterprise management method rationality index value and multiple preset enterprise management method rationality index values; when the difference value is less than the preset difference value, the judgment result is that the company's comprehensive management evaluation is high and is in a safe and healthy state; when the difference value is greater than the preset difference value, the judgment result is that the company's comprehensive management evaluation is low and is in a safe and dangerous state.

[0090] The data interaction transmission module is used to transmit the judgment results obtained by the comprehensive evaluation module and the data within the target enterprise to the user information terminal, providing reference data for the enterprise to make adjustment measures.

[0091] As attached Figure 2 As shown, this embodiment provides a comprehensive enterprise management evaluation method based on multi-dimensional analysis, including the following steps:

[0092] S1, management area division, used to determine the data in the target enterprise as the target management area, and divide it into sub-areas according to the equal time division method, and number the sub-areas in the target management area as 1, 2, ..., i, ..., n in sequence;

[0093] S2, enterprise operation data collection, used to obtain and collect enterprise operation data from various information systems within the enterprise in real time and transmit it to the enterprise operation data processing step;

[0094] S3, enterprise operation data processing, is used to analyze and process the enterprise operation data collected in S2 to obtain the production data impact coefficient, supply chain data impact coefficient and sales data impact coefficient, and transmit them to the comprehensive analysis step;

[0095] S4, enterprise management data collection, used to collect enterprise management data from the enterprise's internal system in real time and transmit it to the enterprise management data processing step;

[0096] S5, enterprise management data processing, is used to analyze and process the enterprise management data collected in S4 to obtain the strategic management data influence coefficient, the scientific and technological innovation data influence coefficient and the human resource management data influence coefficient, and transmit them to the comprehensive analysis step;

[0097] S6, comprehensive data analysis, for importing the production data influence coefficient value, supply chain data influence coefficient value, sales data influence coefficient value, strategic management data influence coefficient value, scientific and technological innovation data influence coefficient value and human resource management data influence coefficient value obtained in S3 and S5 into the enterprise management mode rationality index mathematical model, to obtain the enterprise management mode rationality index value, and transmit it to the comprehensive evaluation step;

[0098] S7, comprehensive evaluation, for comparing the enterprise management mode rationality index value obtained in S6 with a plurality of preset enterprise management mode rationality index values, calculating the minimum value of the difference between the enterprise management mode rationality index value and the plurality of preset enterprise management mode rationality index values, when the difference value is less than the preset difference value, transmitting the judgment result and the target enterprise internal data to the data interactive transmission step, when the difference value is greater than the preset difference value, transmitting the judgment result and the target enterprise internal data to the data interactive transmission step;

[0099] S8, data interaction transmission, is used to transmit the judgment results obtained in S7 and the data within the target enterprise to the user information terminal, and provide reference data for the enterprise to make adjustment measures.

[0100] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0101] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A comprehensive enterprise management evaluation system based on multi-dimensional analysis, characterized in that: include: The operation database, the central processing unit and the user information terminal also include a management area determination module, an enterprise operation data collection module, an enterprise operation data processing module, an enterprise management data collection module, an enterprise management data processing module, a comprehensive data analysis module, a comprehensive evaluation module and a data interaction transmission module; The operation database includes all data of a comprehensive enterprise management evaluation system based on multi-dimensional analysis, and collects information output by each module in real time. The central processor is used to centrally control the information instructions output by each module, and the user information terminal is an information output device for receiving a comprehensive enterprise management evaluation system based on multi-dimensional analysis; Management area division module: used to determine the data in the target enterprise as the target management area, and divide it into sub-areas according to the equal time division method, and number the sub-areas in the target management area as 1, 2, ..., i, ..., n in sequence; Enterprise operation data collection module: used to collect enterprise operation data from various information systems within the enterprise in real time and transmit it to the enterprise operation data processing module; Enterprise operation data processing module: used to analyze and process the enterprise operation data collected by the enterprise operation data collection module to obtain the production data impact coefficient, supply chain data impact coefficient and sales data impact coefficient, and transmit them to the comprehensive analysis module; Enterprise management data collection module: used to obtain and collect enterprise management data from the enterprise's internal system in real time and transmit it to the enterprise management data processing module; Enterprise management data processing module: used to analyze and process the enterprise management data collected by the enterprise management data collection module to obtain the strategic management data influence coefficient, the scientific and technological innovation data influence coefficient and the human resource management data influence coefficient, and transmit them to the comprehensive analysis module; Comprehensive data analysis module: used to import the production data impact coefficient value, supply chain data impact coefficient value, sales data impact coefficient value, strategic management data impact coefficient value, scientific and technological innovation data impact coefficient value and human resource management data impact coefficient value obtained by the enterprise operation data processing module and the enterprise management data processing module into the enterprise management mode rationality index mathematical model, obtain the enterprise management mode rationality index value, and transmit it to the comprehensive evaluation module; Comprehensive evaluation module: used to compare the enterprise management mode rationality index value obtained by the comprehensive data analysis module with multiple preset enterprise management mode rationality index values, calculate the minimum value of the difference between the enterprise management mode rationality index value and the multiple preset enterprise management mode rationality index values, and when the difference value is less than the preset difference value, transmit the judgment result and the data in the target enterprise to the data interaction transmission module; when the difference value is greater than the preset difference value, transmit the judgment result and the data in the target enterprise to the data interaction transmission module; Data interaction and transmission module: used to transmit the judgment results obtained by the comprehensive evaluation module and the data within the target enterprise to the user information terminal, providing reference data for the enterprise to make adjustment measures.

2. According to claim 1, a comprehensive enterprise management evaluation system based on multi-dimensional analysis is characterized by: The enterprise operation data processing module includes a production data influence coefficient calculation unit, a supply chain data influence coefficient calculation unit and a sales data influence coefficient calculation unit; the enterprise management data processing module includes a strategic management data influence coefficient calculation unit, a scientific and technological innovation data influence coefficient calculation unit and a human resource management data influence coefficient calculation unit.

3. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 1 is characterized by: The enterprise operation data includes production data influencing parameters, supply chain data influencing parameters and sales data influencing parameters; The parameters affecting production data include enterprise capacity, denoted by C; production efficiency, denoted by E; defective rate, denoted by D; production energy consumption, denoted by P; The parameters affecting supply chain data include total cost, denoted as Cs; Purchase cost, denoted as p; The number of suppliers is denoted as x; the logistics cost is denoted as c; Supply cycle, denoted as T; sales data influencing parameters include sales volume, denoted as S; sales volume, denoted as Q; The cost of sales is denoted as Ck, and the sales price is denoted as Pk.

4. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 2 is characterized by: The production data impact coefficient calculation unit is used to import the production data impact parameter into the production data impact coefficient mathematical model to obtain the production data impact coefficient value; The supply chain data impact coefficient calculation unit is used to import the supply chain data impact parameters into the supply chain data impact coefficient mathematical model to obtain the supply chain data impact coefficient value; the sales data impact coefficient calculation unit is used to import the sales data impact parameters into the sales data impact coefficient mathematical model to obtain the sales data impact coefficient value.

5. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 4 is characterized by: The mathematical model of the production data influence coefficient is specifically: The mathematical model of supply chain data influencing parameters is as follows: The mathematical model of sales data impact coefficient is as follows: Among them C i represents the enterprise capacity in the i-th time period; C min Indicates the enterprise's minimum designed production capacity; E i represents the production efficiency in the i-th time period; represents the average production efficiency of enterprises in the same industry; P i represents the production energy consumption in the i-th time period; It represents the average production energy consumption of enterprises in the same industry; D i represents the defective rate in the i-th time period; Cs i represents the total cost in the i-th time period; p i represents the purchase cost in the i-th time period; c i represents the logistics cost in the i-th time period; T i represents the supply cycle in the i-th time period; represents the historical average supply cycle; S i represents the sales volume in the i-th time period; S i-1 represents the sales volume in the i-1th time period; Pk i represents the sales price in the i-th time period; Pk i-1 represents the sales price in the i-1th time period; Ck i represents the sales cost in the i-th time period; Q i represents the sales volume in the i-th time period; Q i-1 represents the sales volume in the i-1th time period.

6. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 1 is characterized by: The enterprise management data includes strategic management data influencing parameters, technological innovation data influencing parameters and human resource management data influencing parameters; Among them, the influencing parameters of strategic management data include the number of strategic goals, denoted by R; the frequency of strategic adjustments, denoted by f; strategic investment resources, denoted by Sci; and total enterprise resources, denoted by ScI; the influencing parameters of scientific and technological innovation data include R&D expenses, denoted by rdi; the proportion of R&D personnel, denoted by rdp; the technology achievement conversion rate, denoted by tcr; and the new technology contribution rate, denoted by ncir; the influencing parameters of human resource management data include employee training coverage rate, denoted by TCR; employee performance excellence rate, denoted by PER; employee performance improvement rate, denoted by ppr; and employee turnover rate, denoted by L.

7. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 2 is characterized by: The strategic management data impact coefficient calculation unit is used to import the strategic management data impact parameters into the strategic management data impact coefficient mathematical model to obtain the strategic management data impact coefficient value; the scientific and technological innovation data impact coefficient calculation unit is used to import the scientific and technological innovation data impact parameters into the scientific and technological innovation data impact coefficient mathematical model to obtain the scientific and technological innovation data impact coefficient value; the human resource management data impact coefficient calculation unit is used to import the human resource management data impact parameters into the human resource management data impact coefficient mathematical model to obtain the human resource management data impact coefficient value.

8. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 7 is characterized by: The mathematical model of the strategic management data impact coefficient is specifically: The mathematical model of the impact coefficient of scientific and technological innovation data is as follows: The mathematical model of the impact coefficient of human resource management data is as follows: Where R i represents the number of strategic goals in the i-th time period, represents the number of planned strategic objectives, f i represents the frequency of strategic adjustment in the i-th time period; Sci i represents the strategic investment resources in the i-th time period, ScI i represents the total resources of the strategic investment resources enterprise in the i-th time period; rdi i represents the R&D expenditure in the i-th time period, rdp i represents the proportion of R&D personnel in the i-th time period, tcr i represents the technology achievement conversion rate in the i-th time period, ncir i represents the contribution rate of new technology in the i-th time period, ncir i-1 Indicates the contribution rate of new technology in the i-1th time period, TCR i represents the employee training coverage rate in the i-th time period, PER i represents the excellent performance rate of employees in the i-th time period, ppr i represents the employee performance improvement rate in the i-th time period; L i represents the employee turnover rate in the i-th time period, Represents the average employee turnover rate of companies in the same industry.

9. The enterprise management comprehensive evaluation system based on multi-dimensional analysis according to claim 1 is characterized by: The mathematical model of the enterprise management mode rationality index is specifically:

10. A comprehensive enterprise management evaluation method based on multi-dimensional analysis, characterized by: A system for implementing a comprehensive enterprise management evaluation system based on multi-dimensional analysis as described in any one of claims 1 to 9 above comprises the following steps: S1, management area division, used to determine the data in the target enterprise as the target management area, and divide it into sub-areas according to the equal time division method, and number the sub-areas in the target management area as 1, 2, ..., i, ..., n in sequence; S2, enterprise operation data collection, used to obtain and collect enterprise operation data from various information systems within the enterprise in real time and transmit it to the enterprise operation data processing step; S3, enterprise operation data processing, is used to analyze and process the enterprise operation data collected in S2 to obtain the production data impact coefficient, supply chain data impact coefficient and sales data impact coefficient, and transmit them to the comprehensive analysis step; S4, enterprise management data collection, used to collect enterprise management data from the enterprise's internal system in real time and transmit it to the enterprise management data processing step; S5, enterprise management data processing, is used to analyze and process the enterprise management data collected in S4 to obtain the strategic management data influence coefficient, the scientific and technological innovation data influence coefficient and the human resource management data influence coefficient, and transmit them to the comprehensive analysis step; S6, comprehensive data analysis, for importing the production data influence coefficient value, supply chain data influence coefficient value, sales data influence coefficient value, strategic management data influence coefficient value, scientific and technological innovation data influence coefficient value and human resource management data influence coefficient value obtained in S3 and S5 into the enterprise management mode rationality index mathematical model, to obtain the enterprise management mode rationality index value, and transmit it to the comprehensive evaluation step; S7, comprehensive evaluation, for comparing the enterprise management mode rationality index value obtained in S6 with a plurality of preset enterprise management mode rationality index values, calculating the minimum value of the difference between the enterprise management mode rationality index value and the plurality of preset enterprise management mode rationality index values, when the difference value is less than the preset difference value, transmitting the judgment result and the target enterprise internal data to the data interactive transmission step, when the difference value is greater than the preset difference value, transmitting the judgment result and the target enterprise internal data to the data interactive transmission step; S8, data interaction transmission, is used to transmit the judgment results obtained in S7 and the data within the target enterprise to the user information terminal, and provide reference data for the enterprise to make adjustment measures.

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