CN117455181A - Intelligent enterprise management system - Google Patents
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Abstract
The invention discloses an intelligent enterprise management system, which relates to the technical field of enterprise management, wherein the system collects and records attendance data information in a production workshop through multiple dimensions and monitors a leave-request personnel list and related data information in real time; the new staff and the old staff are reasonably classified and marked through the classification module, so that preparation is made for realizing accurate management of production line and staff allocation; the system extracts characteristics and analyzes neutral conditions, workload and quota allocation conditions of each production line through deep mining and calculation learning of historical data, further helps an enterprise management layer to realize data driving decision making, scientifically evaluates new people daily average workload Xrjz and experienced people daily average workload Jrjz, and obtains the overtime time length Jbsc through analysis and calculation of a plurality of data such as delay quota Ywed, new people daily workload Xsjz and experienced people daily workload Jsjz, and meanwhile, monitors and analyzes the neutral conditions of the production lines in real time to accurately determine the working time of each production line in a current workshop.
Description
Technical Field
The invention relates to the technical field of enterprise management, in particular to an intelligent enterprise management system.
Background
In the current context of rapid development of information technology, enterprise production shop management is an important link of entity manufacturing, and many challenges are always faced. From a global perspective, enterprise production plant management includes personnel deployment management, production planning and scheduling, production flow management, resource management, quality control, and business management, among others. However, the implementation into an enterprise production plant, especially in terms of staff involved in the new and old and daily leave-on management, daily workload distribution and management often become key factors limiting production efficiency.
In the current stage, when the enterprise is faced with the leave of staff, the enterprise generally depends on manual experience to judge whether to increase hands from the outside, so as to quickly compensate for the problem of station vacancy, and the problem that whether the work target is reached every day or every week cannot be argued for a short time, but the enterprise production capacity cannot keep up with the expected state or the situation of excessive overtime occurs in the long time, which is unfavorable for the long-term production operation of the enterprise, and also affects the work enthusiasm of the staff and the overall efficiency of a production workshop.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an intelligent enterprise management system, which solves the problems in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: an intelligent enterprise management system comprises an attendance collection module, a classification module, a limit analysis module and an intelligent comparison module;
the attendance collection module is used for collecting and recording the data information of the list of the leave-requesting personnel in the attendance process in the production workshop and the related data information of the enterprise workshop staff in the personnel department, and generating a first data set;
the classification module is used for classifying new and old staff related data information of enterprise workshop staff in personnel departments, marking the new and old staff and each production line, collecting and recording the allocation arrangement and conditions of the new and old staff in each production line to determine the allocation state of the leave requesting staff in the production line, generating a second data set, and transmitting the first data set and the second data set to a workshop data state set;
the limit analysis module is used for recording the workload of historic old and new staff, extracting the characteristics of relevant data information in the workshop data state set, and analyzing and obtaining: the total number n of production lines, the number Xqrs of new persons, the number Jqrs of experiential persons and the neutral time Kdsc are subjected to deep mining, calculation and learning to obtain the first stepOne-branch credit Fzed 1 Second branch limit Fzed 2 Third, nth branch credit d n The total work amount Zedz, the delay amount Ywed and the overtime length JBsc are subjected to dimensionless treatment, and the overtime length JBsc is calculated by the following formula:
in the formula, ywed is expressed as delay amount, and Xsjz is expressed as workload of new people every time, xrr x Expressed as the number of new people scheduled in the x-th line, jsjz expressed as the workload per time of experienced person, jrr x Expressed as the number of experienced personnel arranged in the x-th line;
the method comprises the steps of obtaining historical data in a workshop by extracting respective workload of new and old staff in a production workshop every day, every week or every month in a historical time axis, and calculating an average value through a statistical algorithm to obtain daily average workload Xrjz of new staff and daily average workload Jrjz of experienced staff;
the intelligent comparison module is used for counting a neutral time section and a neutral time length Kdsc according to the idle gear condition of each production line, comparing and analyzing the neutral time length Kdsc with the overtime time length JBsc, judging whether the neutral time length Kdsc exceeds the overtime time length JBsc, determining whether a residual value Syz exists or not, and acquiring a qualified evaluation report by combining a preset limit threshold Q.
Preferably, the attendance collection module comprises an leave-out state unit, a personnel management unit and a historical data collection unit;
the leave-out state unit is used for collecting and counting leave-out personnel list data information and related data information of enterprise workshop staff, wherein the leave-out personnel list data information comprises personal information of the leave-out personnel, leave-out time point, leave-out event and time nodes for applying a leave-out list for statistics and recording;
the personnel management unit is used for registering related data information of staff in the enterprise workshop by utilizing personnel departments, wherein the personnel management unit comprises the steps of collecting personal identity information of the staff in the enterprise workshop, responsible corresponding work information and classification of temporary staff and formal staff, and uploading the collected personal identity information and the classification of temporary staff and formal staff to a personnel department database;
the history data acquisition unit is used for acquiring and calculating the workload of the old and new historical staff and acquiring the daily average workload Xrjz of the new staff and the daily average workload Jrjz of the experienced staff.
Preferably, the classification module comprises a personnel management classification unit and a workshop distribution unit;
the personnel management classification unit is used for classifying new and old personnel according to the related data information in the attendance collection module so as to distinguish the new personnel from experienced personnel, and marking each production line in a production workshop to obtain a first production line, a second production line, a third and an nth production line;
the workshop distribution unit is used for combining the personnel management unit and the relevant data information in the personnel management classification unit, arranging the distinguished enterprise workshop staff into corresponding production workshops and production lines, obtaining arrangement results, and recording the arrangement results into the attendance collection module, wherein the arrangement results comprise work points, work time nodes, neutral time nodes and neutral time Kdsc arranged by the staff.
Preferably, the first branch credit Fzed 1 The second branch limit Fzed 2 The n-th branch credit d. n The method is obtained by the following formulas:
Fzed 1 ＝Xrjz*Xrr 1 +Jrjz*Jrr 1 ；
Fzed 2 ＝Xrjz*Xrr 2 +Jrjz*Jrr 2 ；
...
Fzed n ＝Xrjz*Xrr n +Jrjz*Jrr n ；
in the above formula, xrjz is represented as the new people's daily average workload, and Jrjz is represented as the experienced people's daily average workload, xrr 1 、Xrr 2 、...、Xrr n Expressed as number of new people in the first production line, number of new people in the second production line, respectivelyNumber of new people in nth production line Jrr 1 、Jrr 2 、...、Jrr n Expressed as the number of experienced employees in the first line, the number of experienced employees in the second line, the number of experienced employees in the nth line, respectively.
Preferably, the total work volume Zedz is obtained using a statistical algorithm, said total work volume Zedz being obtained by the following formula:
Zedz＝Fzed 1 +Fzed 2 +...+Fzed n ；
the meaning of the formula is: the daily total work target in the enterprise production workshop is clear in real time.
Preferably, according to the list data information of the leave-leave staff in the attendance process in the production workshop, analyzing and obtaining the delay line Ywed, wherein the delay line Ywed is obtained through the following formula:
Ywed＝Xrjz*Xqrs+Jrjz*Jqrs；
wherein Xqrs is expressed as the number of new persons and Jqrs is expressed as the number of experienced persons.
Preferably, the intelligent comparison module comprises a neutral analysis unit and a threshold comparison unit;
the neutral position analysis unit is used for calculating, analyzing and obtaining a neutral position time Kdsc according to the idle position conditions of each production line, comparing and analyzing the neutral position time Kdsc with the overtime time Jbsc, and judging whether the neutral position time Kdsc exceeds the overtime time Jbsc or not;
if the neutral time Kdsc is greater than or equal to the overtime time Jbsc, namely when Kdsc is greater than or equal to Jbsc, a first instruction notification is obtained, wherein the first instruction notification indicates that the current enterprise workshop can complete a daily total work target through an overtime strategy, and no limit remaining value Syz exists at the moment;
if the neutral time Kdsc is smaller than the overtime time Jbsc, that is, kdsc is smaller than Jbsc, a second instruction notification is obtained, which indicates that the current enterprise workshop cannot complete the daily total work objective through the overtime strategy, and at the moment, a limit remaining value Syz exists.
Preferably, when the second instruction notification is obtained, the neutral time Kdsc and the overtime time Jbsc are subjected to addition and subtraction operation, so as to obtain a remaining time Sysc, and the remaining value Syz of the quota is obtained by the following formula:
Sysc＝Jbsc-Kdsc；
Syz＝Sysc*(Xsjz*Xrr x +Jsjz*Jrr x )。
preferably, the threshold comparison unit is configured to compare and analyze the remaining value Syz with the threshold Q of the quota, and obtain a qualified evaluation report:
if the remaining value Syz is greater than the threshold value Q, namely Syz > Q, the current enterprise production shop does not reach the total work target and is in a disqualified state, and the production plan is adjusted at this time, and human resources are increased from the outsource;
if the remaining value Syz is equal to the threshold value Q, namely Syz =q, it indicates that the current production shop of the enterprise does not reach the total work target, but is in a qualified state, and new people will be continuously admitted in the daily recruitment work;
if the remaining value Syz is less than the threshold Q, i.e., syz is less than Q, it indicates that the current production shop of the enterprise still does not reach the total work target, but the remaining value Syz of the remaining value can be ignored compared with the total work limit Zedz, and at this time, a spaced recruitment mode will be adopted.
(III) beneficial effects
The invention provides an intelligent enterprise management system, which has the following beneficial effects:
(1) The intelligent enterprise management system collects and records attendance data information in a production workshop through multiple dimensions and monitors a leave-request personnel list and related data information in real time; the new staff and the old staff are reasonably classified and marked through the classification module, so that preparation is made for realizing accurate management of production line and staff allocation; the system extracts characteristics and analyzes neutral conditions, workload and quota allocation conditions of each production line through deep mining and calculation learning of historical data, further helps an enterprise management layer to realize data driving decision making, scientifically evaluates new people daily average workload Xrjz and experienced people daily average workload Jrjz, obtains a shift-over time length Jbsc through analysis and calculation of a plurality of data such as delay quota Ywed, new people daily workload Xsjz and experienced people daily workload Jsjz, and simultaneously monitors and analyzes neutral conditions of the production lines in real time to accurately determine working time periods and rest time periods on each production line in a current workshop, prepares for subsequent reasonable shift-over, and prevents low workshop working states caused by fluctuation of false personnel from influencing large-scale development of enterprises; and finally, through the generation of the qualification evaluation report, helping an enterprise management layer to quickly know the working condition of the production workshop and taking corresponding solving measures. In a word, the intelligent enterprise management system is used for indirectly judging the working capacity of new and old staff by distinguishing the new and old staff and combining the historical data, meanwhile, analyzing the work load backward degree caused by the leave for the staff leave, acquiring delay line Ywed, determining the overtime time JBsc according to the neutral condition of the production line, determining whether a residual value Syz exists or not, finally comparing and analyzing the residual value with a threshold value Q of the line to acquire a qualified evaluation report, and further bringing high-efficiency personnel management for enterprises.
(2) According to the intelligent enterprise management system, according to the comparison and analysis result of the limit remaining value Syz and the limit threshold value Q, the system can help enterprises to flexibly adjust recruitment work strategies, and according to actual demand conditions of production workshops, appropriate recruitment modes are adopted in advance, so that reasonable allocation of human resources and stable operation of the production workshops are further ensured; in a word, the application of the intelligent enterprise management system further brings optimized production plan adjustment and human resource management, improves the working efficiency and management level of a production workshop, and provides powerful support for the long-term development and sustainable growth of enterprises.
Drawings
FIG. 1 is a block diagram of an intelligent enterprise management system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the current context of rapid development of information technology, enterprise production shop management is an important link of entity manufacturing, and many challenges are always faced. From a global perspective, enterprise production plant management includes personnel deployment management, production planning and scheduling, production flow management, resource management, quality control, and business management, among others. However, the implementation into an enterprise production plant, especially in terms of staff involved in the new and old and daily leave-on management, daily workload distribution and management often become key factors limiting production efficiency.
In the current stage, when the enterprise is faced with the leave of staff, the enterprise generally depends on manual experience to judge whether to increase hands from the outside, so as to quickly compensate for the problem of station vacancy, and the problem that whether the work target is reached every day or every week cannot be argued for a short time, but the enterprise production capacity cannot keep up with the expected state or the situation of excessive overtime occurs in the long time, which is unfavorable for the long-term production operation of the enterprise, and also affects the work enthusiasm of the staff and the overall efficiency of a production workshop.
Example 1
Referring to fig. 1, the present invention provides an intelligent enterprise management system, which includes an attendance collection module, a classification module, a credit analysis module and an intelligent comparison module;
the attendance collection module is used for collecting and recording the data information of the list of the leave-requesting personnel in the attendance process in the production workshop and the related data information of the enterprise workshop staff in the personnel department, and generating a first data set;
the classification module is used for classifying new and old staff related data information of enterprise workshop staff in personnel departments, marking the new and old staff and each production line, collecting and recording the allocation arrangement and conditions of the new and old staff in each production line to determine the allocation state of the leave requesting staff in the production line, generating a second data set, and transmitting the first data set and the second data set to a workshop data state set;
the limit analysis module is used for recording the workload of historic old and new staff, extracting the characteristics of relevant data information in the workshop data state set, and analyzing and obtaining: the total number n of production lines, the number Xqrs of new persons, the number Jqrs of experiential persons and the neutral time Kdsc are subjected to deep mining and calculation learning, and a first branch limit Fzed is obtained 1 Second branch limit Fzed 2 Third, nth branch credit d n The total work amount Zedz, the delay amount Ywed and the overtime length JBsc are subjected to dimensionless treatment, and the overtime length JBsc is calculated by the following formula:
in the formula, ywed is expressed as delay amount, and Xsjz is expressed as workload of new people every time, xrr x Expressed as the number of new people scheduled in the x-th line, jsjz expressed as the workload per time of experienced person, jrr x Expressed as the number of experienced personnel arranged in the x-th line;
wherein, the x-th production line refers to a production line with a neutral position, and x is less than n;
the method comprises the steps of obtaining historical data in a workshop by extracting respective workload of new and old staff in a production workshop every day, every week or every month in a historical time axis, and calculating an average value through a statistical algorithm to obtain daily average workload Xrjz of new staff and daily average workload Jrjz of experienced staff;
the intelligent comparison module is used for counting a neutral time section and a neutral time length Kdsc according to the idle gear condition of each production line, comparing and analyzing the neutral time length Kdsc with the overtime time length JBsc, judging whether the neutral time length Kdsc exceeds the overtime time length JBsc, determining whether a residual value Syz exists or not, and acquiring a qualified evaluation report by combining a preset limit threshold Q.
In the operation of the system, the system collects and records the attendance data information in the production workshop through multiple dimensions and monitors the leave-request personnel list and related data information in real time; the new staff and the old staff are reasonably classified and marked through the classification module, so that preparation is made for realizing accurate management of production line and staff allocation; the system extracts characteristics and analyzes neutral conditions, workload and quota allocation conditions of each production line through deep mining and calculation learning of historical data, scientifically evaluates new people daily average workload Xrjz and experienced personnel daily average workload Jrjz, and obtains overtime time Jbsc through analysis and calculation of a plurality of data such as delay quota Ywed, new people daily workload Xsjz and experienced personnel daily workload Jsjz, and simultaneously monitors and analyzes the neutral conditions of the production lines in real time so as to accurately determine working time periods and rest time periods on each production line in a current workshop; and finally, through the generation of the qualification evaluation report, helping an enterprise management layer to quickly know the working condition of the production workshop and taking corresponding solving measures.
Example 2
Referring to fig. 1, the following details are: the attendance checking and collecting module comprises an attendance checking state unit, a personnel management unit and a historical data collecting unit;
the leave-out state unit is used for collecting and counting leave-out personnel list data information and related data information of enterprise workshop staff, wherein the leave-out personnel list data information comprises personal information of the leave-out personnel, leave-out time point, leave-out event and time nodes for applying a leave-out list for statistics and recording;
the personnel management unit is used for registering related data information of staff in the enterprise workshop by utilizing personnel departments, wherein the personnel management unit comprises the steps of collecting personal identity information of the staff in the enterprise workshop, responsible corresponding work information and classification of temporary staff and formal staff, and uploading the collected personal identity information and the classification of temporary staff and formal staff to a personnel department database;
the history data acquisition unit is used for acquiring and calculating the workload of the old and new historical staff and acquiring the daily average workload Xrjz of the new staff and the daily average workload Jrjz of the experienced staff.
In this embodiment, the leave-out status unit can count and record relevant information of the leave-out personnel in real time, including leave-out duration, leave-out time point, leave-out event, etc., and through real-time monitoring of the leave-out condition, the system can help the enterprise management layer to more efficiently arrange subsequent production work, and reduce possibility of production line vacancy and work delay caused by leave-out; through the utilization of the historical data acquisition unit, the system can analyze historical data, further help enterprises evaluate and adjust workload distribution of production workshops, and enable production efficiency and resource utilization rate to be at normal levels.
Example 3
Referring to fig. 1, the following details are: the classification module comprises a personnel management classification unit and a workshop distribution unit;
the personnel management classification unit is used for classifying new and old personnel according to the related data information in the attendance collection module so as to distinguish the new personnel from experienced personnel, and marking each production line in a production workshop to obtain a first production line, a second production line, a third and an nth production line;
the workshop distribution unit is used for combining the personnel management unit and the relevant data information in the personnel management classification unit, arranging the distinguished enterprise workshop staff into corresponding production workshops and production lines, obtaining arrangement results, and recording the arrangement results into the attendance collection module, wherein the arrangement results comprise work points, work time nodes, neutral time nodes and neutral time Kdsc arranged by the staff.
In the embodiment, the personnel management classification unit and the workshop distribution unit in the classification module can realize dynamic management and distribution of enterprise workshop staff; according to the classification condition of staff and the mark of the production line, the staff is rapidly and accurately arranged on the corresponding work stations and the production line, and the work in the production workshop is ensured to continuously and efficiently run.
Example 4
Referring to fig. 1, the following details are: the first branch limit Fzed 1 The second branch limit Fzed 2 The n-th branch credit d. n The method is obtained by the following formulas:
Fzed 1 ＝Xrjz*Xrr 1 +Jrjz*Jrr 1 ；
Fzed 2 ＝Xrjz*Xrr 2 +Jrjz*Jrr 2 ；
...
Fzed n ＝Xrjz*Xrr n +Jrjz*Jrr n ；
in the above formula, xrjz is represented as the new people's daily average workload, and Jrjz is represented as the experienced people's daily average workload, xrr 1 、Xrr 2 、...、Xrr n Expressed as number of new people in the first production line, number of new people in the second production line, number of new people in the nth production line, jrr, respectively 1 、Jrr 2 、...、Jrr n Expressed as the number of experienced employees in the first line, the number of experienced employees in the second line, the number of experienced employees in the nth line, respectively.
The number of new people Xrr in the first production line 1 Number of new people Xrr in second production line 2 Number of new people Xrr in the n-th line n All are acquired by an infrared camera instrument in a production workshop;
jrr number of experienced employees in first production line 1 Jrr of experienced staff in the second line 2 Jrr the number of experienced employees in the nth line n All are acquired by an infrared camera instrument in a production workshop;
using a statistical algorithm, a total work order Zedz is obtained, which is obtained by the following formula:
Zedz＝Fzed 1 +Fzed 2 +...+Fzed n ；
the meaning of the formula is: the daily total work target in the enterprise production workshop is clear in real time.
Analyzing and acquiring delay line Ywed according to the data information of the other staff list in the attendance process in the production workshop, wherein the delay line Ywed is acquired through the following formula:
Ywed＝Xrjz*Xqrs+Jrjz*Jqrs；
wherein Xqrs is expressed as the number of new persons and Jqrs is expressed as the number of experienced persons.
The new person number Xqrs and the experience person number Jqrs are acquired through infrared camera instruments in the production workshop.
In this embodiment, by evaluating the workload on each production line, the branching limit of each production line is obtained, and then the branching limit is statistically calculated to obtain the total work limit Zedz, and the system can further provide accurate production targets and workload distribution references for enterprises, help the enterprises reasonably arrange the production tasks of the production workshops, and maximally improve the production efficiency and the resource utilization rate. By analyzing the delay line Ywed in real time, aiming at the number of the applicant and whether the applicant is a new person or an experienced employee, the working progress falling on the same day is analyzed and calculated, so that reasonable overtime management work is carried out on the next-day personnel.
Example 5
Referring to fig. 1, the following details are: the intelligent comparison module comprises a neutral position analysis unit and a threshold value comparison unit;
the neutral position analysis unit is used for calculating, analyzing and obtaining a neutral position time Kdsc according to the idle position conditions of each production line, comparing and analyzing the neutral position time Kdsc with the overtime time Jbsc, and judging whether the neutral position time Kdsc exceeds the overtime time Jbsc or not;
if the neutral time Kdsc is greater than or equal to the overtime time Jbsc, namely when Kdsc is greater than or equal to Jbsc, a first instruction notification is obtained, wherein the first instruction notification indicates that the current enterprise workshop can complete a daily total work target through an overtime strategy, and no limit remaining value Syz exists at the moment;
if the neutral time Kdsc is smaller than the overtime time Jbsc, that is, kdsc is smaller than Jbsc, a second instruction notification is obtained, which indicates that the current enterprise workshop cannot complete the daily total work objective through the overtime strategy, and at the moment, a limit remaining value Syz exists.
When the second instruction notification is acquired, adding and subtracting the neutral time Kdsc and the overtime time JBsc to acquire a residual time Sysc, wherein the residual value Syz is acquired by the following formula:
Sysc＝Jbsc-Kdsc；
Syz＝Sysc*(Xsjz*Xrr x +Jsjz*Jrr x )。
the threshold comparison unit is configured to perform a comparison analysis on the remaining value Syz and the threshold Q to obtain a qualified evaluation report:
if the remaining value Syz is greater than the threshold value Q, namely Syz > Q, the current enterprise production shop does not reach the total work target and is in a disqualified state, and the production plan is adjusted at this time, and human resources are increased from the outsource;
if the remaining value Syz is equal to the threshold value Q, namely Syz =q, it indicates that the current production shop of the enterprise does not reach the total work target, but is in a qualified state, and new people will be continuously admitted in the daily recruitment work;
if the remaining value Syz is less than the threshold Q, i.e., syz is less than Q, it indicates that the current production shop of the enterprise still does not reach the total work target, but the remaining value Syz of the remaining value can be ignored compared with the total work limit Zedz, and at this time, a spaced recruitment mode will be adopted.
In the embodiment, through the comparative analysis of the space time length Kdsc and the overtime time length JBsc, the system can help an enterprise management layer to judge the working state of a production workshop in time, provide different instruction notices aiming at different comparative results, flexibly adjust the production strategy according to the situation, reasonably arrange overtime work and further develop towards a daily total work target; the threshold value comparison unit provides comparison analysis on the remaining value Syz and the threshold value Q, and the system can help an enterprise management layer to know the working pressure and risk of a production workshop in time, adjust a production plan and increase and allocate human resources, so that the normal operation of the production workshop and the effective realization of a total working target are ensured.
Examples: an enterprise workshop, the engineering plant introduces an intelligent enterprise management system, and the following are examples of the enterprise workshop:
and (3) data acquisition: the daily average workload Xrjz of the new person is 5; daily work of experienced personnelThe amount Jrjz is 9; the number n of the production lines is 4; number of new people Xrr in first production line 1 3; number of new people Xrr in second production line 2 4; number of new people Xrr in third production line 3 Is 2; number of new people Xrr in fourth production line 4 3; jrr number of experienced employees in first production line 1 Is 2; jrr experienced staff in the second line 2 5; jrr experienced staff in third line 3 3; jrr experienced staff in fourth line 4 Is 2; the number of new people asking for the false, xqrs, is 3; the number of experiential persons to ask for the false is 1; the neutral time Kdsc is 3; the workload of new people per hour, xsjz, is 0.42; number of new people Xrr arranged in production line 2 2 4; the workload Jsjz of the experienced person per hour is 0.75; number of experienced personnel Jrr arranged in the x-th line 2 5;
from the above data, the following calculations can be made:
first branch credit Fzed 1 ＝5*3+9*2＝33；
Second branch limit Fzed 2 ＝5*4+9*5＝65；
Third branch credit Fzed 3 ＝5*2+9*3＝37；
Fourth branch limit Fzed 4 ＝5*3+9*2＝33；
Total work amount zedz=33+65+37+33=168;
delay amount ywed=5×3+9×1=24;
overtime period
The remaining amount value Syz =1.42 (0.42×4+0.75×5) =7.71;
at this time, the neutral time Kdsc is smaller than the overtime time Jbsc, that is, kdsc is smaller than Jbsc, and a second instruction notification is obtained, which indicates that the current enterprise workshop cannot complete the daily total work objective through the overtime strategy, and at this time, a limit remaining value Syz exists;
when the limit threshold Q is 5, the limit remaining value Syz is greater than the limit threshold Q, i.e., syz > Q, which indicates that the current enterprise production shop does not reach the total work target and is in a disqualified state, and the production plan is adjusted to increase human resources from the outsource.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. An intelligent enterprise management system, characterized in that: the system comprises an attendance collection module, a classification module, a credit analysis module and an intelligent comparison module;
the attendance collection module is used for collecting and recording the data information of the list of the leave-requesting personnel in the attendance process in the production workshop and the related data information of the enterprise workshop staff in the personnel department, and generating a first data set;
the classification module is used for classifying new and old staff related data information of enterprise workshop staff in personnel departments, marking the new and old staff and each production line, collecting and recording the allocation arrangement and conditions of the new and old staff in each production line to determine the allocation state of the leave requesting staff in the production line, generating a second data set, and transmitting the first data set and the second data set to a workshop data state set;
the limit analysis module is used for recording the workload of historic old and new staff, extracting the characteristics of relevant data information in the workshop data state set, and analyzing and obtaining: the total number n of production lines, the number Xqrs of new persons, the number Jqrs of experiential persons and the neutral time Kdsc are subjected to deep mining and calculation learning, and a first branch limit Fzed is obtained 1 Second branch limit Fzed 2 Third, nth branch credit d n The total work amount Zedz, the delay amount Ywed and the overtime length JBsc are subjected to dimensionless treatment, and the overtime length JBsc is calculated by the following formula:
in the formula, ywed is expressed as delay amount, and Xsjz is expressed as workload of new people every time, xrr x Expressed as the number of new people scheduled in the x-th line, jsjz expressed as the workload per time of experienced person, jrr x Expressed as the number of experienced personnel arranged in the x-th line;
the method comprises the steps of obtaining historical data in a workshop by extracting respective workload of new and old staff in a production workshop every day, every week or every month in a historical time axis, and calculating an average value through a statistical algorithm to obtain daily average workload Xrjz of new staff and daily average workload Jrjz of experienced staff;
the intelligent comparison module is used for counting a neutral time section and a neutral time length Kdsc according to the idle gear condition of each production line, comparing and analyzing the neutral time length Kdsc with the overtime time length JBsc, judging whether the neutral time length Kdsc exceeds the overtime time length JBsc, determining whether a residual value Syz exists or not, and acquiring a qualified evaluation report by combining a preset limit threshold Q.
2. An intelligent enterprise management system according to claim 1 wherein: the attendance checking and collecting module comprises an attendance checking state unit, a personnel management unit and a historical data collecting unit;
the leave-out state unit is used for collecting and counting leave-out personnel list data information and related data information of enterprise workshop staff, wherein the leave-out personnel list data information comprises personal information of the leave-out personnel, leave-out time point, leave-out event and time nodes for applying a leave-out list for statistics and recording;
the personnel management unit is used for registering related data information of staff in the enterprise workshop by utilizing personnel departments, wherein the personnel management unit comprises the steps of collecting personal identity information of the staff in the enterprise workshop, responsible corresponding work information and classification of temporary staff and formal staff, and uploading the collected personal identity information and the classification of temporary staff and formal staff to a personnel department database;
the history data acquisition unit is used for acquiring and calculating the workload of the old and new historical staff and acquiring the daily average workload Xrjz of the new staff and the daily average workload Jrjz of the experienced staff.
3. An intelligent enterprise management system according to claim 2 wherein: the classification module comprises a personnel management classification unit and a workshop distribution unit;
the personnel management classification unit is used for classifying new and old personnel according to the related data information in the attendance collection module so as to distinguish the new personnel from experienced personnel, and marking each production line in a production workshop to obtain a first production line, a second production line, a third and an nth production line;
the workshop distribution unit is used for combining the personnel management unit and the relevant data information in the personnel management classification unit, arranging the distinguished enterprise workshop staff into corresponding production workshops and production lines, obtaining arrangement results, and recording the arrangement results into the attendance collection module, wherein the arrangement results comprise work points, work time nodes, neutral time nodes and neutral time Kdsc arranged by the staff.
4. An intelligent enterprise management system according to claim 3 wherein: the first branch limit Fzed 1 The second branch limit Fzed 2 The n-th branch credit d. n The method is obtained by the following formulas:
Fzed 1 ＝Xrjz*Xrr 1 +Jrjz*Jrr 1 ；
Fzed 2 ＝Xrjz*Xrr 2 +Jrjz*Jrr 2 ；
...
Fzed n ＝Xrjz*Xrr n +Jrjz*Jrr n ；
in the above formula, xrjz is represented as the new people's daily average workload, and Jrjz is represented as the experienced people's daily average workload, xrr 1 、Xrr 2 、...、Xrr n Respectively expressed as the number of new people in the first production line and the number of new people in the second production lineNumber of people, number of new people in nth production line, jrr 1 、Jrr 2 、...、Jrr n Expressed as the number of experienced employees in the first line, the number of experienced employees in the second line, the number of experienced employees in the nth line, respectively.
5. The intelligent enterprise management system of claim 4, wherein: using a statistical algorithm, a total work order Zedz is obtained, which is obtained by the following formula:
Zedz＝Fzed 1 +Fzed 2 +...+Fzed n ；
the meaning of the formula is: the daily total work target in the enterprise production workshop is clear in real time.
6. An intelligent enterprise management system as claimed in claim 5, wherein: analyzing and acquiring delay line Ywed according to the data information of the other staff list in the attendance process in the production workshop, wherein the delay line Ywed is acquired through the following formula:
Ywed＝Xrjz*Xqrs+Jrjz*Jqrs；
wherein Xqrs is expressed as the number of new persons and Jqrs is expressed as the number of experienced persons.
7. The intelligent enterprise management system of claim 6, wherein: the intelligent comparison module comprises a neutral position analysis unit and a threshold value comparison unit;
the neutral position analysis unit is used for calculating, analyzing and obtaining a neutral position time Kdsc according to the idle position conditions of each production line, comparing and analyzing the neutral position time Kdsc with the overtime time Jbsc, and judging whether the neutral position time Kdsc exceeds the overtime time Jbsc or not;
if the neutral time Kdsc is greater than or equal to the overtime time Jbsc, namely when Kdsc is greater than or equal to Jbsc, a first instruction notification is obtained, wherein the first instruction notification indicates that the current enterprise workshop can complete a daily total work target through an overtime strategy, and no limit remaining value Syz exists at the moment;
if the neutral time Kdsc is smaller than the overtime time Jbsc, that is, kdsc is smaller than Jbsc, a second instruction notification is obtained, which indicates that the current enterprise workshop cannot complete the daily total work objective through the overtime strategy, and at the moment, a limit remaining value Syz exists.
8. An intelligent enterprise management system as claimed in claim 7, wherein: when the second instruction notification is acquired, adding and subtracting the neutral time Kdsc and the overtime time JBsc to acquire a residual time Sysc, wherein the residual value Syz is acquired by the following formula:
Sysc＝Jbsc-Kdsc；
Syz＝Sysc*(Xsjz*Xrr x +Jsjz*Jrr x )。
9. an intelligent enterprise management system as claimed in claim 8, wherein: the threshold comparison unit is configured to perform a comparison analysis on the remaining value Syz and the threshold Q to obtain a qualified evaluation report:
if the remaining value Syz is greater than the threshold value Q, namely Syz > Q, the current enterprise production shop does not reach the total work target and is in a disqualified state, and the production plan is adjusted at this time, and human resources are increased from the outsource;
if the remaining value Syz is equal to the threshold value Q, namely Syz =q, it indicates that the current production shop of the enterprise does not reach the total work target, but is in a qualified state, and new people will be continuously admitted in the daily recruitment work;
if the remaining value Syz is less than the threshold Q, i.e., syz is less than Q, it indicates that the current production shop of the enterprise still does not reach the total work target, but the remaining value Syz of the remaining value can be ignored compared with the total work limit Zedz, and at this time, a spaced recruitment mode will be adopted.
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