An intelligent enterprise management system

Abstract

The present invention discloses an intelligent enterprise management system, which relates to the technical field of enterprise management. The system collects and records attendance data information in a production workshop in multiple dimensions, monitors the list of leave personnel and related data information in real time; and reasonably classifies and marks new and old employees through a classification module, so as to prepare for the precise management of production lines and employee allocation; the system extracts features and analyzes the idle situation, workload and quota allocation of each production line through deep mining and computational learning of historical data, further helps the enterprise management to realize data-driven decision-making, scientifically evaluates the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees, and obtains the overtime time Jbsc through multiple data analysis and calculations such as the delay quota Ywed, the hourly workload Xsjz of new employees and the hourly workload Jsjz of experienced employees. At the same time, the idle situation of the production line is monitored and analyzed in real time to accurately determine the working time of each production line in the current workshop.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise management, and in particular to an intelligent enterprise management system. Background Art

[0002] In the context of the rapid development of information technology today, enterprise production workshop management, as an important part of physical manufacturing, has been facing many challenges. From a global perspective, enterprise production workshop management includes personnel transfer management, production planning and scheduling, production process management, resource management, quality control, and business management, etc. However, when it comes to enterprise production workshops, especially in terms of new and old employees and daily leave management, daily workload allocation and management often become key factors restricting production efficiency.

[0003] At this stage, when faced with employee leave, companies usually rely on manual experience to determine whether they need to send additional staff from outside to quickly fill job vacancies. In the short term, it may not be possible to argue whether daily or weekly work goals have been achieved, but in the long run, the company's production volume will not keep up with expectations, or excessive overtime will occur, which is not conducive to the company's long-term production operations, and will also affect employee work enthusiasm and the overall efficiency of the production workshop. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent enterprise management system that solves the problems in the above-mentioned background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent enterprise management system, including an attendance collection module, a classification module, a quota analysis module and an intelligent comparison module;

[0008] The attendance collection module is used to collect and record the list of leave personnel during the attendance process in the production workshop and the relevant data information of the workshop employees in the personnel department, and generate a first data group;

[0009] The classification module is used to classify the relevant data information of the enterprise workshop employees in the personnel department into new and old employees, and mark the new and old employees and each production line, collect and record the vacancy situation in each production line and the allocation arrangement and situation of new and old employees, so as to determine the allocation status of the leave personnel in the production line, and generate a second data group, and transmit the first data group and the second data group to the workshop data status set;

[0010] The quota analysis module is used to record the workload of new and old employees in history, and extract features from the relevant data information in the workshop data status set, and analyze and obtain: the total number of production lines n, the number of new employees taking leave Xqrs, the number of experienced employees taking leave Jqrs, and the length of idle time Kdsc, and obtain the first branch quota Fzed1, the second branch quota Fzed2, ..., the nth branch quota Dyed through deep mining and calculation learning. n , total work quota Zedz, delay quota Ywed and overtime duration Jbsc, after dimensionless processing, the overtime duration Jbsc is obtained by the following formula:

[0011]

[0012] In the formula, Ywed represents the delay amount, Xsjz represents the hourly workload of the new employee, and Xrr x It is represented by the number of new employees assigned to the x-th production line, Jsjz is the workload of experienced employees per hour, Jrr x It is expressed as the number of experienced personnel arranged in the xth production line;

[0013] By extracting the workload of new and old employees in the production workshop every day, every week or every month in the historical time axis, the historical data in the workshop is obtained, and the average value is calculated through statistical algorithms to obtain the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees;

[0014] The intelligent comparison module is used to count the idle time segments and idle duration Kdsc according to the idle conditions in each production line, and compare and analyze the idle duration Kdsc with the overtime duration Jbsc, to determine whether the idle duration Kdsc exceeds the overtime duration Jbsc, to determine whether there is a remaining quota value Syz, and to obtain a qualified assessment report in combination with a preset quota threshold Q.

[0015] Preferably, the attendance collection module includes a leave status unit, a personnel management unit and a historical data collection unit;

[0016] The leave status unit is used to collect and count the data information of the list of leavers and the relevant data information of the workshop employees of the enterprise, wherein the data information of the list of leavers includes the personal information of the leavers, the length of leave, the time point of leave, the reason for leave and the time point of the leave application form;

[0017] The personnel management unit is used to register the relevant data information of the employees in the enterprise workshop with the personnel department, including collecting the personal identity information of the employees in the enterprise workshop, the information of the corresponding job types, and the classification of temporary workers and regular employees, and uploading it to the personnel department database;

[0018] The historical data collection unit is used to collect and calculate the historical workload of new and old employees, and obtain the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees.

[0019] Preferably, the classification module includes a personnel management classification unit and a workshop allocation unit;

[0020] The personnel management classification unit is used to classify the relevant data information in the attendance collection module into new and old employees to distinguish between new employees and experienced employees, and mark each production line in the production workshop to obtain the first production line, the second production line, ..., the nth production line;

[0021] The workshop allocation unit is used to combine the relevant data information in the personnel management unit and the personnel management classification unit, arrange the differentiated enterprise workshop employees to the corresponding production workshops and production lines, obtain the arrangement results, and record the arrangement results in the attendance collection module, wherein the arrangement results include the work points, working time nodes, idle time nodes and idle time length Kdsc arranged for each employee.

[0022] Preferably, the first branch credit limit Fzed1, the second branch credit limit Fzed2, ..., the nth branch credit limit Dyed n They are obtained by the following formulas:

[0023] Fzed1=Xrjz*Xrr1+Jrjz*Jrr1;

[0024] Fzed2=Xrjz*Xrr2+Jrjz*Jrr2; ...

[0026] Fzed n =Xrjz*Xrr n +Jrjz*Jrr n ;

[0027] In the above formula, Xrjz represents the average daily workload of new employees, Jrjz represents the average daily workload of experienced employees, and Xrr1, Xrr2, ..., Xrr n They are respectively represented as the number of newcomers in the first production line, the number of newcomers in the second production line, ..., the number of newcomers in the nth production line, Jrr1, Jrr2, ..., Jrr n They are respectively represented as the number of experienced employees in the first production line, the number of experienced employees in the second production line, ..., the number of experienced employees in the nth production line.

[0028] Preferably, a statistical algorithm is used to obtain the total work quota Zedz, and the total work quota Zedz is obtained by the following formula:

[0029] Zedz=Fzed1+Fzed2+...+Fzed n ;

[0030] The significance of the formula is to clarify the total daily work goals in the company's production workshop in real time.

[0031] Preferably, according to the data information of the list of leave personnel in the attendance process in the production workshop, the delay amount Ywed is analyzed and obtained, and the delay amount Ywed is obtained by the following formula:

[0032] Ywed=Xrjz*Xqrs+Jrjz*Jqrs;

[0033] In the formula, Xqrs represents the number of new employees taking leave, and Jqrs represents the number of experienced employees taking leave.

[0034] Preferably, the intelligent comparison module includes a gap analysis unit and a threshold comparison unit;

[0035] The idle time analysis unit is used to calculate and analyze the idle time length Kdsc according to the idle time situation in each production line, and compare and analyze the idle time length Kdsc with the overtime time length Jbsc to determine whether the idle time length Kdsc exceeds the overtime time length Jbsc;

[0036] If the idle time Kdsc is greater than or equal to the overtime time Jbsc, that is, Kdsc ≥ Jbsc, the first instruction notification is obtained, indicating that the current enterprise workshop can complete the total daily work target through the overtime strategy, and there is no remaining quota value Syz at this time;

[0037] If the idle time Kdsc is less than the overtime time Jbsc, that is, Kdsc<Jbsc, a second instruction notification is obtained, indicating that the current enterprise workshop cannot complete the total daily work target through the overtime strategy, and there is a remaining quota value Syz at this time.

[0038] Preferably, when the second instruction notification is obtained, the idle time Kdsc is added and subtracted from the overtime time Jbsc to obtain the remaining time Sysc, and the remaining amount Syz is obtained by the following formula:

[0039] Sysc=Jbsc-Kdsc;

[0040] Syz=Sysc*(Xsjz*Xrr x +Jsjz*Jrr x ).

[0041] Preferably, the threshold comparison unit is used to compare and analyze the remaining credit value Syz with the credit threshold Q to obtain a conformity assessment report:

[0042] If the remaining quota value Syz is greater than the quota threshold value Q, that is, Syz>Q, it means that the current enterprise production workshop has not achieved the total work target and is in an unqualified state. At this time, the production plan will be adjusted and human resources will be added from other factories;

[0043] If the remaining quota value Syz is equal to the quota threshold value Q, that is, Syz=Q, it means that the current enterprise production workshop has not achieved the total work target, but is in a qualified state. At this time, new employees will continue to be accepted in the daily recruitment work;

[0044] If the remaining quota value Syz is less than the quota threshold Q, that is, Syz<Q, it means that the current enterprise production workshop has not yet achieved the total work target, but compared with the total work quota Zedz, the remaining quota value Syz can be ignored. At this time, an intermittent recruitment work method will be adopted.

[0045] (III) Beneficial effects

[0046] The present invention provides an intelligent enterprise management system, which has the following beneficial effects:

[0047] (1) An intelligent enterprise management system that collects and records attendance data information in the production workshop through multiple dimensions, monitors the list of leave personnel and related data information in real time; and reasonably classifies and marks new and old employees through the classification module to prepare for the precise management of production lines and employee allocation; the system extracts features and analyzes the idle situation, workload and quota allocation of each production line through deep mining and computational learning of historical data, further helping the enterprise management to achieve data-driven decision-making and scientifically evaluate the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced personnel, And through the analysis and calculation of multiple data such as the delay quota Ywed, the hourly workload of new employees Xsjz, and the hourly workload of experienced personnel Jsjz, the overtime duration Jbsc is obtained. At the same time, the idle situation of the production line is monitored and analyzed in real time to accurately determine the working time period and rest time period on each production line in the current workshop, so as to prepare for the subsequent reasonable overtime work, and prevent the change of leave personnel from causing the workshop to work in a low state, affecting the large-scale development of the enterprise; finally, through the generation of the qualified evaluation report, the enterprise management can quickly understand the working status of the production workshop and take corresponding solutions. In short, the use of this intelligent enterprise management system indirectly determines the working ability of new and old employees by distinguishing between new and old employees and combining historical data. At the same time, for the situation of employee leave, the degree of workload decline caused by leave is analyzed, the delay quota Ywed is obtained, and the overtime duration Jbsc is determined according to the idle situation of the production line, and whether there is a remaining quota value Syz is determined. Finally, it is compared and analyzed with the quota threshold Q to obtain the qualified evaluation report, which further brings efficient personnel management to the enterprise.

[0048] (2) This intelligent enterprise management system can help enterprises flexibly adjust their recruitment strategies based on the comparative analysis results of the remaining quota value Syz and the quota threshold Q. It can also take appropriate recruitment methods in advance according to the actual needs of the production workshop, so as to further ensure the rational allocation of human resources and the stable operation of the production workshop. In short, the application of this intelligent enterprise management system will further bring about optimized production plan adjustment and human resource management, improve the work efficiency and management level of the production workshop, and provide strong support for the long-term development and sustainable growth of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 The present invention is a flowchart diagram of an intelligent enterprise management system. DETAILED DESCRIPTION

[0050] 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.

[0051] In the context of the rapid development of information technology today, enterprise production workshop management, as an important part of physical manufacturing, has been facing many challenges. From a global perspective, enterprise production workshop management includes personnel transfer management, production planning and scheduling, production process management, resource management, quality control, and business management, etc. However, when it comes to enterprise production workshops, especially in terms of new and old employees and daily leave management, daily workload allocation and management often become key factors restricting production efficiency.

[0052] At this stage, when faced with employee leave, companies usually rely on manual experience to determine whether they need to send additional staff from outside to quickly fill job vacancies. In the short term, it may not be possible to argue whether daily or weekly work goals have been achieved, but in the long run, the company's production volume will not keep up with expectations, or excessive overtime will occur, which is not conducive to the company's long-term production operations, and will also affect employee work enthusiasm and the overall efficiency of the production workshop.

[0053] Example 1

[0054] See also Figure 1 , the present invention provides an intelligent enterprise management system, including an attendance collection module, a classification module, a quota analysis module and an intelligent comparison module;

[0055] The attendance collection module is used to collect and record the list of leave personnel during the attendance process in the production workshop and the relevant data information of the workshop employees in the personnel department, and generate a first data group;

[0056] The classification module is used to classify the relevant data information of the enterprise workshop employees in the personnel department into new and old employees, and mark the new and old employees and each production line, collect and record the vacancy situation in each production line and the allocation arrangement and situation of new and old employees, so as to determine the allocation status of the leave personnel in the production line, and generate a second data group, and transmit the first data group and the second data group to the workshop data status set;

[0057] The quota analysis module is used to record the workload of new and old employees in history, and extract features from the relevant data information in the workshop data status set, and analyze and obtain: the total number of production lines n, the number of new employees taking leave Xqrs, the number of experienced employees taking leave Jqrs, and the length of idle time Kdsc, and obtain the first branch quota Fzed1, the second branch quota Fzed2, ..., the nth branch quota Dyed through deep mining and calculation learning. n , total work quota Zedz, delay quota Ywed and overtime duration Jbsc, after dimensionless processing, the overtime duration Jbsc is obtained by the following formula:

[0058]

[0059] In the formula, Ywed represents the delay amount, Xsjz represents the hourly workload of the new employee, and Xrr x It is represented by the number of new employees assigned to the x-th production line, Jsjz is the workload of experienced employees per hour, Jrr x It is expressed as the number of experienced personnel arranged in the xth production line;

[0060] The xth production line refers to the production line with a gap in the data, and x<n;

[0061] By extracting the workload of new and old employees in the production workshop every day, every week or every month in the historical time axis, the historical data in the workshop is obtained, and the average value is calculated through statistical algorithms to obtain the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees;

[0062] The intelligent comparison module is used to count the idle time segments and idle duration Kdsc according to the idle conditions in each production line, and compare and analyze the idle duration Kdsc with the overtime duration Jbsc, to determine whether the idle duration Kdsc exceeds the overtime duration Jbsc, to determine whether there is a remaining quota value Syz, and to obtain a qualified assessment report in combination with a preset quota threshold Q.

[0063] During the operation of this system, the system collects and records attendance data information in the production workshop through multiple dimensions, monitors the list of leave personnel and related data information in real time; and reasonably classifies and marks new and old employees through the classification module, in preparation for the precise management of production lines and employee allocation; the system extracts features and analyzes the idle situation, workload and quota allocation of each production line through deep mining and computational learning of historical data, scientifically evaluates the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced personnel, and obtains the overtime time Jbsc through multiple data analysis and calculations such as delay quota Ywed, hourly workload Xsjz of new employees and hourly workload Jsjz of experienced personnel. At the same time, the idle situation of the production line is monitored and analyzed in real time to accurately determine the working time period and rest time period on each production line in the current workshop; finally, through the generation of qualified evaluation reports, it helps the management of the enterprise quickly understand the working status of the production workshop and take corresponding solutions.

[0064] Example 2

[0065] Please refer to Figure 1 ,Specifically: the attendance collection module includes a leave status unit, a personnel management unit and a historical data collection unit;

[0066] The leave status unit is used to collect and count the data information of the list of leavers and the relevant data information of the workshop employees of the enterprise, wherein the data information of the list of leavers includes the personal information of the leavers, the length of leave, the time point of leave, the reason for leave and the time point of the leave application form;

[0067] The personnel management unit is used to register the relevant data information of the employees in the enterprise workshop with the personnel department, including collecting the personal identity information of the employees in the enterprise workshop, the information of the corresponding job types, and the classification of temporary workers and regular employees, and uploading it to the personnel department database;

[0068] The historical data collection unit is used to collect and calculate the historical workload of new and old employees, and obtain the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees.

[0069] In this embodiment, the leave status unit can count and record the relevant information of the leave personnel in real time, including the length of leave, the time of leave and the reason for leave, etc. Through real-time monitoring of leave, the system can help the enterprise management to arrange subsequent production work more efficiently and reduce the possibility of production line vacancies and work delays caused by leave; through the use of historical data collection units, the system can analyze historical data to further help enterprises evaluate and adjust the workload distribution of production workshops, so that production efficiency and resource utilization are at normal levels.

[0070] Example 3

[0071] Please refer to Figure 1 ,Specifically: the classification module includes a personnel management classification unit and a workshop allocation unit;

[0072] The personnel management classification unit is used to classify the relevant data information in the attendance collection module into new and old employees to distinguish between new employees and experienced employees, and mark each production line in the production workshop to obtain the first production line, the second production line, ..., the nth production line;

[0073] The workshop allocation unit is used to combine the relevant data information in the personnel management unit and the personnel management classification unit, arrange the differentiated enterprise workshop employees to the corresponding production workshops and production lines, obtain the arrangement results, and record the arrangement results in the attendance collection module, wherein the arrangement results include the work points, working time nodes, idle time nodes and idle time length Kdsc arranged for each employee.

[0074] In this embodiment, the personnel management classification unit and workshop allocation unit in the classification module can realize dynamic management and allocation of enterprise workshop employees; according to the employee classification and production line marking, employees can be quickly and accurately arranged to corresponding jobs and production lines to ensure that work in the production workshop continues to operate efficiently.

[0075] Example 4

[0076] Please refer to Figure 1 Specifically: the first branch quota Fzed1, the second branch quota Fzed2, ..., the nth branch quota Dyed n They are obtained by the following formulas:

[0077] Fzed1=Xrjz*Xrr1+Jrjz*Jrr1;

[0078] Fzed2=Xrjz*Xrr2+Jrjz*Jrr2; ...

[0080] Fzed n =Xrjz*Xrr n +Jrjz*Jrr n ;

[0081] In the above formula, Xrjz represents the average daily workload of new employees, Jrjz represents the average daily workload of experienced employees, and Xrr1, Xrr2, ..., Xrr n They are respectively represented as the number of newcomers in the first production line, the number of newcomers in the second production line, ..., the number of newcomers in the nth production line, Jrr1, Jrr2, ..., Jrrn They are respectively represented as the number of experienced employees in the first production line, the number of experienced employees in the second production line, ..., the number of experienced employees in the nth production line.

[0082] The number of new employees in the first production line Xrr1, the number of new employees in the second production line Xrr2, ..., the number of new employees in the nth production line Xrr n All of them are collected through infrared cameras in the production workshop;

[0083] The number of experienced employees in the first production line Jrr1, the number of experienced employees in the second production line Jrr2, ..., the number of experienced employees in the nth production line Jrr n All of them are collected through infrared cameras in the production workshop;

[0084] The total work quota Zedz is obtained by using a statistical algorithm. The total work quota Zedz is obtained by the following formula:

[0085] Zedz=Fzed1+Fzed2+...+Fzed n ;

[0086] The significance of the formula is to clarify the total daily work goals in the company's production workshop in real time.

[0087] According to the data information of the list of leave personnel in the attendance process in the production workshop, the delay amount Ywed is analyzed and obtained. The delay amount Ywed is obtained by the following formula:

[0088] Ywed=Xrjz*Xqrs+Jrjz*Jqrs;

[0089] In the formula, Xqrs represents the number of new employees taking leave, and Jqrs represents the number of experienced employees taking leave.

[0090] The above-mentioned number of new employees taking leave Xqrs and the number of experienced employees taking leave Jqrs are both collected through infrared camera instruments in the production workshop.

[0091] In this embodiment, by evaluating the workload on each production line, obtaining the branch quota of each production line, and then performing statistical calculations to obtain the total workload quota Zedz, the system can further provide accurate production targets and workload allocation references for enterprises, helping enterprises to reasonably arrange production tasks in production workshops and maximize production efficiency and resource utilization. By analyzing the delay quota Ywed in real time, the work progress that has been left behind on the day is analyzed and calculated based on the number of people who take leave each day and whether the person taking leave is a new employee or an experienced employee, so as to conduct reasonable overtime management for idle personnel in the future.

[0092] Example 5

[0093] Please refer to Figure 1 ,Specifically: the intelligent comparison module includes a gap analysis unit and a threshold comparison unit;

[0094] The idle time analysis unit is used to calculate and analyze the idle time length Kdsc according to the idle time situation in each production line, and compare and analyze the idle time length Kdsc with the overtime time length Jbsc to determine whether the idle time length Kdsc exceeds the overtime time length Jbsc;

[0095] If the idle time Kdsc is greater than or equal to the overtime time Jbsc, that is, Kdsc ≥ Jbsc, the first instruction notification is obtained, indicating that the current enterprise workshop can complete the total daily work target through the overtime strategy, and there is no remaining quota value Syz at this time;

[0096] If the idle time Kdsc is less than the overtime time Jbsc, that is, Kdsc<Jbsc, a second instruction notification is obtained, indicating that the current enterprise workshop cannot complete the total daily work target through the overtime strategy, and there is a remaining quota value Syz at this time.

[0097] When the second instruction notification is obtained, the idle time Kdsc is added and subtracted from the overtime time Jbsc to obtain the remaining time Sysc. The remaining amount Syz is obtained by the following formula:

[0098] Sysc=Jbsc-Kdsc;

[0099] Syz=Sysc*(Xsjz*Xrr x +Jsjz*Jrr x ).

[0100] The threshold comparison unit is used to compare and analyze the remaining credit value Syz with the credit threshold Q to obtain a conformity assessment report:

[0101] If the remaining quota value Syz is greater than the quota threshold value Q, that is, Syz>Q, it means that the current enterprise production workshop has not achieved the total work target and is in an unqualified state. At this time, the production plan will be adjusted and human resources will be added from other factories;

[0102] If the remaining quota value Syz is equal to the quota threshold value Q, that is, Syz=Q, it means that the current enterprise production workshop has not achieved the total work target, but is in a qualified state. At this time, new employees will continue to be accepted in the daily recruitment work;

[0103] If the remaining quota value Syz is less than the quota threshold Q, that is, Syz<Q, it means that the current enterprise production workshop has not yet achieved the total work target, but compared with the total work quota Zedz, the remaining quota value Syz can be ignored. At this time, an intermittent recruitment work method will be adopted.

[0104] In this embodiment, through comparative analysis of idle time Kdsc and overtime time Jbsc, the system can help the enterprise management to timely judge the working status of the production workshop, and provide different instruction notifications for different comparison results, flexibly adjust the production strategy according to the situation, and reasonably arrange overtime work, and further develop towards the daily total work goal; the threshold comparison unit provides a comparative analysis of the quota remaining value Syz and the quota threshold Q. The system can help the enterprise management to timely understand the work pressure and risks of the production workshop, adjust the production plan and increase human resources, and ensure the normal operation of the production workshop and the effective realization of the total work goal.

[0105] Example: A workshop of a certain enterprise. The engineering factory introduced an intelligent enterprise management system. The following is an example of a workshop of a certain enterprise:

[0106] Data collection: The average daily workload of new employees Xrjz is 5; the average daily workload of experienced employees Jrjz is 9; the number of production lines n is 4; the number of new employees in the first production line Xrr1 is 3; the number of new employees in the second production line Xrr2 is 4; the number of new employees in the third production line Xrr3 is 2; the number of new employees in the fourth production line Xrr4 is 3; the number of experienced employees in the first production line Jrr1 is 2; the number of experienced employees in the second production line Jrr2 is 5; the number of experienced employees in the third production line Jrr3 is 3; the number of experienced employees in the fourth production line Jrr4 is 2; the number of new employees taking leave Xqrs is 3; the number of experienced employees taking leave Jqrs is 1; the idle time Kdsc is 3; the hourly workload of new employees Xsjz is 0.42; the number of new employees arranged in the second production line Xrr2 is 4; the hourly workload of experienced employees Jsjz is 0.75; the number of experienced employees arranged in the xth production line Jrr2 is 5;

[0107] With the above data, the following calculations can be performed:

[0108] The first branch quota Fzed1 = 5*3 + 9*2 = 33;

[0109] The second branch quota Fzed2 = 5*4 + 9*5 = 65;

[0110] The third branch quota Fzed3 = 5*2 + 9*3 = 37;

[0111] The fourth branch amount Fzed4 = 5*3 + 9*2 = 33;

[0112] Total work quota Zedz = 33 + 65 + 37 + 33 = 168;

[0113] Delay amount Ywed = 5*3+9*1 = 24;

[0114] Overtime hours

[0115] The remaining value of the credit limit Syz = 1.42*(0.42*4+0.75*5) = 7.71;

[0116] At this time, the idle time Kdsc is less than the overtime time Jbsc, that is, Kdsc<Jbsc, and a second instruction notification is obtained, indicating that the current enterprise workshop cannot complete the total daily work target through the overtime strategy, and there is a remaining quota value Syz at this time;

[0117] When the quota threshold Q is 5, the remaining quota value Syz is greater than the quota threshold Q, that is, Syz>Q, indicating that the current enterprise production workshop has not achieved the total work target and is in an unqualified state. At this time, the production plan will be adjusted and human resources will be added from other factories.

[0118] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent enterprise management system, characterized in that: Including attendance collection module, classification module, quota analysis module and intelligent comparison module; The attendance collection module is used to collect and record the list of leave personnel during the attendance process in the production workshop and the relevant data information of the workshop employees in the personnel department, and generate a first data group; The classification module is used to classify the relevant data information of the enterprise workshop employees in the personnel department into new and old employees, and mark the new and old employees and each production line, collect and record the vacancy situation in each production line and the allocation arrangement and situation of new and old employees, so as to determine the allocation status of the leave personnel in the production line, and generate a second data group, and transmit the first data group and the second data group to the workshop data status set; The quota analysis module is used to record the workload of new and old employees in history, and extract features from the relevant data information in the workshop data status set, and analyze and obtain: the total number of production lines n, the number of new employees taking leave Xqrs, the number of experienced employees taking leave Jqrs, and the length of idle time Kdsc, and obtain the first branch quota Fzed1, the second branch quota Fzed2, ..., the nth branch quota Dyed through deep mining and calculation learning. n , total work quota Zedz, delay quota Ywed and overtime duration Jbsc, after dimensionless processing, the overtime duration Jbsc is obtained by the following formula: In the formula, Ywed represents the delay amount, Xsjz represents the hourly workload of the new employee, and Xrr x It is represented by the number of new employees assigned to the x-th production line, Jsjz is the workload of experienced employees per hour, Jrr x It is expressed as the number of experienced personnel arranged in the xth production line; The first branch quota Fzed1, the second branch quota Fzed2, ..., the nth branch quota Dyed n Obtained by the following formulas: Fzed1=Xrjz*Xrr1+Jrjz*Jrr1; Fzed2=Xrjz*Xrr2+Jrjz*Jrr2; ... <h2 style=";text-align:left;direction:ltr">Fzed<h2 style=";text-align:left;direction:ltr"> n <h2 style=";text-align:left;direction:ltr"> =Xrjz*Xrr<h2 style=";text-align:left;direction:ltr"> n <h2 style=";text-align:left;direction:ltr"> +Jrjz*Jrr<h2 style=";text-align:left;direction:ltr"> n <h2 style=";text-align:left;direction:ltr"> ; In the above formula, Xrjz represents the average daily workload of new employees, Jrjz represents the average daily workload of experienced employees, and Xrr1, Xrr2, ..., Xrr n They are respectively represented as the number of newcomers in the first production line, the number of newcomers in the second production line, ..., the number of newcomers in the nth production line, Jrr1, Jrr2, ..., Jrr n They are respectively represented as the number of experienced employees in the first production line, the number of experienced employees in the second production line, ..., the number of experienced employees in the nth production line; The total work quota Zedz is obtained by using a statistical algorithm. The total work quota Zedz is obtained by the following formula: Zedz=Fzed1+Fzed2+...+Fzed n ; The significance of the formula is: to clarify the total daily work target of the enterprise's production workshop in real time; According to the data information of the list of leave personnel in the attendance process in the production workshop, the delay amount Ywed is analyzed and obtained. The delay amount Ywed is obtained by the following formula: Ywed=Xrjz*Xqrs+Jrjz*Jqrs; In the formula, Xqrs represents the number of new employees taking leave, and Jqrs represents the number of experienced employees taking leave; By extracting the workload of new and old employees in the production workshop every day, every week or every month in the historical time axis, the historical data in the workshop is obtained, and the average value is calculated through statistical algorithms to obtain the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees; The intelligent comparison module is used to count the idle time segments and idle duration Kdsc according to the idle conditions in each production line, and compare and analyze the idle duration Kdsc with the overtime duration Jbsc, to determine whether the idle duration Kdsc exceeds the overtime duration Jbsc, to determine whether there is a remaining quota value Syz, and to obtain a qualified assessment report in combination with a preset quota threshold Q.

2. The intelligent enterprise management system according to claim 1, characterized in that: The attendance collection module includes a leave status unit, a personnel management unit and a historical data collection unit; The leave status unit is used to collect and count the data information of the list of leavers and the relevant data information of the workshop employees of the enterprise, wherein the data information of the list of leavers includes the personal information of the leavers, the length of leave, the time point of leave, the reason for leave and the time point of the leave application form; The personnel management unit is used to register the relevant data information of the employees in the enterprise workshop with the personnel department, including collecting the personal identity information of the employees in the enterprise workshop, the information of the corresponding job types, and the classification of temporary workers and regular employees, and uploading it to the personnel department database; The historical data collection unit is used to collect and calculate the historical workload of new and old employees, and obtain the average daily workload Xrjz of new employees and the average daily workload Jrjz of experienced employees.

3. The intelligent enterprise management system according to claim 2, characterized in that: The classification module includes a personnel management classification unit and a workshop allocation unit; The personnel management classification unit is used to classify the relevant data information in the attendance collection module into new and old employees to distinguish between new employees and experienced employees, and mark each production line in the production workshop to obtain the first production line, the second production line, ..., the nth production line; The workshop allocation unit is used to combine the relevant data information in the personnel management unit and the personnel management classification unit, arrange the differentiated enterprise workshop employees to the corresponding production workshops and production lines, obtain the arrangement results, and record the arrangement results in the attendance collection module, wherein the arrangement results include the work points, working time nodes, idle time nodes and idle time length Kdsc arranged for each employee.

4. The intelligent enterprise management system according to claim 3, characterized in that: The intelligent comparison module includes a gap analysis unit and a threshold comparison unit; The idle time analysis unit is used to calculate and analyze the idle time length Kdsc according to the idle time situation in each production line, and compare and analyze the idle time length Kdsc with the overtime time length Jbsc to determine whether the idle time length Kdsc exceeds the overtime time length Jbsc; If the idle time Kdsc is greater than or equal to the overtime time Jbsc, that is, Kdsc ≥ Jbsc, the first instruction notification is obtained, indicating that the current enterprise workshop can complete the total daily work target through the overtime strategy, and there is no remaining quota value Syz at this time; If the idle time Kdsc is less than the overtime time Jbsc, that is, Kdsc<Jbsc, a second instruction notification is obtained, indicating that the current enterprise workshop cannot complete the total daily work target through the overtime strategy, and there is a remaining quota value Syz at this time.

5. The intelligent enterprise management system according to claim 4, characterized in that: When the second instruction notification is obtained, the idle time Kdsc is added and subtracted from the overtime time Jbsc to obtain the remaining time Sysc. The remaining amount Syz is obtained by the following formula: Sysc=Jbsc-Kdsc; Syz=Sysc*(Xsjz*Xrr x +Jsjz*Jrr x )。 6. An intelligent enterprise management system according to claim 5, characterized in that: The threshold comparison unit is used to compare and analyze the remaining credit value Syz with the credit threshold Q to obtain a conformity assessment report: If the remaining quota value Syz is greater than the quota threshold value Q, that is, Syz>Q, it means that the current enterprise production workshop has not achieved the total work target and is in an unqualified state. At this time, the production plan will be adjusted and human resources will be added from other factories; If the remaining quota value Syz is equal to the quota threshold value Q, that is, Syz=Q, it means that the current enterprise production workshop has not achieved the total work target, but is in a qualified state. At this time, new employees will continue to be accepted in the daily recruitment work; If the remaining quota value Syz is less than the quota threshold Q, that is, Syz<Q, it means that the current enterprise production workshop has not yet achieved the total work target, but compared with the total work quota Zedz, the remaining quota value Syz can be ignored. At this time, an intermittent recruitment work method will be adopted.

Images