CN114862339A - Attendance information automatic management system and method for human resources - Google Patents

Attendance information automatic management system and method for human resources Download PDF

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CN114862339A
CN114862339A CN202210372285.6A CN202210372285A CN114862339A CN 114862339 A CN114862339 A CN 114862339A CN 202210372285 A CN202210372285 A CN 202210372285A CN 114862339 A CN114862339 A CN 114862339A
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花应桃
李胜飞
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Wuxi Woqu Information Technology Co ltd
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Abstract

The invention discloses an attendance information automatic management system and method for human resources, which comprises the following steps: the attendance information acquisition module is used for acquiring attendance information of each employee, and the attendance information comprises attendance time periods; the attendance abnormal information acquisition module is used for acquiring attendance abnormal information corresponding to each employee according to the attendance information corresponding to each employee and the scheduling time corresponding to the corresponding employee; the intelligent scheduling module comprises an absent time period planning module, an exchange time period service influence value acquisition module, an exchange time period priority confirmation module and a scheduling planning determination module, wherein the absent time period planning module acquires each absent time period of each employee in a first time period respectively and acquires the corresponding exchange time period of the absent time period corresponding to each employee.

Description

Attendance information automatic management system and method for human resources
Technical Field
The invention relates to the technical field of attendance management, in particular to an attendance information automatic management system and method for human resources.
Background
With the rapid development of computer technology, people are more and more widely applied to the system, the role of the system in production and life of people is more and more important, and for enterprises, people can acquire attendance information of people through the computer technology, so that the enterprises can conveniently monitor the working time of employees.
In the existing attendance information management system, the attendance condition of the staff is simply monitored, and the scheduling condition of the staff cannot be changed according to the actual condition of the staff, so that the existing attendance information management system is not strong in intellectualization.
In view of the above, there is a need for an automatic attendance information management system and method for human resources.
Disclosure of Invention
The invention aims to provide an attendance information automatic management system and method for human resources, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: attendance information automated management system for manpower resources includes:
the attendance information acquisition module is used for acquiring attendance information of each employee, and the attendance information comprises attendance time periods;
the attendance abnormal information acquisition module is used for acquiring attendance abnormal information corresponding to each employee according to the attendance information corresponding to each employee and the scheduling time corresponding to the corresponding employee;
the intelligent scheduling module comprises an absent duty time period planning module, a time period exchange service influence value acquisition module, a time period exchange priority confirmation module and a scheduling planning determination module,
the absent time period planning module is used for respectively acquiring each absent time period of each employee in a first time period, and acquiring corresponding exchange time periods of the absent time periods corresponding to each employee;
the exchange time period business influence value acquisition module analyzes the influence value of the exchange time period of the staff relative to the absent time period on the business according to the corresponding posts of the staff;
the exchange time period priority confirming module is used for determining the priority of each corresponding employee in the same exchange time period;
and the scheduling plan determining module determines the scheduling result of each employee according to the priority condition of each employee in the exchange time period priority determining module.
The invention realizes the monitoring of staff attendance information through the cooperative cooperation of all modules, further analyzes the monitored staff attendance data, determines the staff absent time period and the corresponding exchange time period which are adjusted by the staff, analyzes the influence value of the exchange time period on the business, further obtains the priority of each corresponding staff in the same exchange time period, confirms the scheduling result of each staff and realizes the intelligent management of the scheduling condition of the staff.
Further, the attendance exception information acquisition module records the starting working time point of each day in the scheduling time corresponding to the staff as a first time point,
recording the starting off-duty time point of each day in the scheduling time corresponding to the employee as a second time point,
the attendance abnormity information acquisition module acquires the distance between each employee and the attendance point at the first time point and the distance between each employee and the attendance point at the second time respectively every day,
the attendance exception information comprises the absence time period, the distances between positions where the first time point and the second time point of the employee are located and the attendance points on the day of exception attendance, and the absence time period is the late arrival time period and the early exit time period of the employee.
The obtained absent time period refers to a time period corresponding to the late arrival of the staff on duty and a time period leaving ahead before work, namely the beginning and the end of each day of scheduling time are monitored, if the staff is on duty on schedule and absent on the way, but the returning condition before work is not in the monitoring range of the absent time period; the first time point and the second time point are set for monitoring the distance between the two time points and the attendance point, and further providing data reference for subsequently acquiring the average value of the moving speed of the staff in the process of going to and going from work.
Furthermore, the absent time period planning module respectively acquires each absent time period of each employee in a first time period, counts each absent time period corresponding to each employee in the first time period, numbers each employee,
obtaining a function fn1(t) of the attendance state of the nth 1 employee in the nth 2 th day of the first time period as a function of time n2 ) Wherein, fn1(t) n2 ) T in (1) n2 The value range of (a) is the shift scheduling time of the nth 1 employees in the nth 2 th day of the first time period,
when the n1 th employee is in the n2 th day t of the first time period n2 When the attendance status is absent, fn1 is at this time (t) n2 )＝1；
When the n1 th employee is in the first time period, the n2 th day t n2 When the attendance status is attendance, then fn1(t) n2 )＝0；
Integrating functions of the variation of the attendance states of the nth 1 employees along with the time when n2 is different values in the first time period to obtain a first attendance state function Fn1(t) of the nth 1 employees,
when n2 is obtained as different value, the n1 th employee is in the first time period t n2 The minimum value of (d), denoted as tmin,
obtaining n2 as different values, the n1 th employee in the first time period t n2 The maximum value of (d), denoted as tmax,
the value range of t in Fn1(t) is tmin is less than or equal to t and less than or equal to tmax;
for the n1 th employee, the first time period n2 corresponds to fn1(t n2 ) Middle t n2 Expands the value range of fn1(t) n2 ) The corresponding function after expansion is denoted as gn 1(t) n2 ) Wherein gn 1(t) n2 ) Middle t n2 The value range of tmin is less than or equal to t n2 ≤tmax，
When gn 1(t) n2 ) Middle t n2 And fn1(t) n2 ) T in (1) n2 When equal, gn 1(t) n2 )＝fn1(t n2 )，
When gn 1(t) n2 ) Middle t n2 And fn1(t) n2 ) T in (1) n2 When not equal, gn 1(t) n2 )＝0；
The described
Figure BDA0003589270520000031
Where n3 is the total number of days in the first time period.
The absent duty time period planning module acquires fn1(t) n2 ) Thereafter, gn1 is further acquired (t) n2 ) Then, for gn 1(t) n2 ) Middle t n2 The value range of (a) is expanded to obtain the maximum time span of working of the employee in the scheduling time of the employee, and if the scheduling time of a certain employee is divided into early shift, middle shift and late shift, gn 1(t) n2 ) Middle t n2 The expanded value range is a union set of time periods respectively corresponding to the early shift, the middle shift and the night of the staff; get gn 1(t) n2 ) Is to ensure gn 1(t) n2 ) Middle t n2 Is the same as the value range of t in Fn1(t), and then passes through
Figure BDA0003589270520000032
In the process of acquiring the Fn1(t), corresponding function values are meaningful when t is different in the Fn1 (t); setting t n2 In different attendance states, fn1(t) n2 ) 1 or 0, because the attendance status of the employee is differentiated by way of a function, and fn1(t) n2 ) The value of Fn1(t) is set to 0, so that the acquired Fn1(t) is not influenced by the total days in the first time period, and when the attendance states corresponding to the same time t in different days in the first time period are both attendance, the corresponding value of Fn1(t) is still 0.
Further, the absent duty time period planning module compares a first attendance state function Fn1(t) of the nth 1 th employee with a first threshold value, screens out a value range of t corresponding to the Fn1(t) being greater than or equal to the first threshold value, and records the value range as tn1,
acquiring each absent time period of the nth 1 employee in the first time period, which is coincident with the tn1, to obtain a first absent time period set corresponding to the nth 1 employee, adding each absent time period of the nth 1 employee in the first time period to a blank set one by one to obtain a second absent time period set,
obtaining the relation between the absent time periods corresponding to each element in the first absent time period set corresponding to the nth 1 staff, associating each element with the same day of corresponding time in the first time period, and obtaining the exchange time period corresponding to each element in the first absent time period set corresponding to the nth 1 staff.
The invention discloses an absent duty time period planning module which compares a first attendance state function Fn1(t) of an n1 th employee with a first threshold value so as to preliminarily screen out absent duty time period sets (a first absent duty time period set and a second absent duty time period set) of the employees; the first absent time period set is obtained for obtaining each regulated absent time period and corresponding exchange time period of the staff in the follow-up process; the first absent time period set is obtained for obtaining the corresponding exchange duration of each absent time period of the staff in the follow-up process.
Further, the method for acquiring the switching time period comprises the following steps:
s1.1, acquiring the m1 th element in a first absent period set corresponding to the n1 th employee;
s1.2, judging whether other elements exist in the first absent period set corresponding to the nth 1 employee or not and forming an association relationship with the m1 th element,
if no other element in the first absent period set corresponding to the nth 1 employee is in an association relationship with the m1 th element, the m1 th element is taken as a reference element for acquiring the swap period corresponding to the m1 th element,
if the association relationship between other elements and the m1 element exists in the first absence period set corresponding to the nth 1 employee, comparing the durations of the absence periods respectively corresponding to the m1 element and the element forming the association relationship with the m1 element, taking the element corresponding to the maximum duration as a reference element for acquiring the exchange period corresponding to the m1 element,
if the duration of the absent time period corresponding to the m1 th element and the element forming the association relationship with the element are equal, the integral value of Fn1(t) in the absent time period corresponding to the m1 th element and the element forming the association relationship with the element is compared,
if the obtained integral values are not equal, the element corresponding to the largest integral value is taken as a reference element for acquiring the transposition time period corresponding to the m1 th element,
if the obtained integral values are equal, randomly selecting one element from the m1 th element and the elements forming the association relation with the element as a reference element for obtaining the exchange time period corresponding to the m1 th element;
s1.3, acquiring a reference element of the transposition time period corresponding to the m1 th element, and recording the corresponding time length as Tm 1;
s1.4, obtaining the distance between the positions of the first time point and the second time point of the employee and the attendance point on the day of the abnormal attendance of the nth 1 workers, forming a data pair by the attendance duration corresponding to the abnormal attendance of the nth 1 workers and the maximum distance between the employee and the attendance point during the corresponding attendance,
dividing the difference between the maximum distance between the employee and the attendance point during the absence in each data pair and the attendance range threshold value L0 by the absence duration in the corresponding data pair to obtain the moving speed of the nth 1 th employee during the absence,
calculating the average value of the data corresponding to the nth 1 employee to the corresponding moving speed to obtain the average moving speed of the nth 1 employee, which is recorded as Vn1,
when the absent time period corresponding to the abnormal attendance of the employee is the late arrival time period of the employee, the maximum distance between the employee and the attendance point in the corresponding absent time is the distance between the position of the first time point of the employee and the attendance point on the abnormal attendance day,
when the absent time period corresponding to the abnormal attendance of the employee is the early exit time period of the employee, the maximum distance between the employee and the attendance point in the corresponding absent time is the distance between the position of the second time point of the employee and the attendance point on the abnormal attendance day;
s1.5, acquiring the absent time period corresponding to the reference element in the second absent time period set, acquiring the maximum distance L between the employee and the attendance point in the absent time period, and acquiring the exchange duration corresponding to the reference element
Figure BDA0003589270520000051
S1.6, recording the scheduling time corresponding to the current day of obtaining the reference element as T 1 ～T 2 ；
S1.7, when tmax-tmin ═ T 2 -T 1 When the time is needed, the absence time period corresponding to the reference element is further judged to be the late time period of the staff or the early time period of the staff,
if the absent time period corresponding to the reference element is the staff tardy time period, the scheduling time adjusted on the same day by the reference element in the first time period is
Figure BDA0003589270520000052
If the absent time period corresponding to the reference element is the early quit time period of the employee, the scheduling time adjusted on the same day in the first time period according to the reference element is
Figure BDA0003589270520000053
S1.8, when tmax-tmin > T 2 -T 1 When the time is needed, the absence time period corresponding to the reference element is further judged to be the late time period of the staff or the early time period of the staff,
if the absent time period corresponding to the reference element is the late arrival time period of the employee, comparing tmax-T 2 And
Figure BDA0003589270520000054
the size of (a) is (b),
if it is not
Figure BDA0003589270520000055
The shift schedule time adjusted on the day by reference to the elements in the first time period is
Figure BDA0003589270520000056
If it is not
Figure BDA0003589270520000057
The scheduling time adjusted on the day by the reference element in the first time period is tmax- (T) 2 -T 1 )～tmax，
If the absent time period corresponding to the reference element is the employee early-quit time period, and if the absent time period corresponding to the reference element is the absent time periodThe period is the time period of early quitting of the staff, and T is compared 1 Tmin and
Figure BDA0003589270520000058
the size of (a) is (b),
if it is not
Figure BDA0003589270520000059
The shift schedule time adjusted on the day by reference to the elements in the first time period is
Figure BDA00035892705200000510
If it is not
Figure BDA00035892705200000511
The scheduling time after the current day of the reference element in the first time period is tmin-tmin + (T) 2 -T 1 )；
S1.9, calculating the time difference between the scheduled time after adjustment and the scheduled time before adjustment, recording the time period which coincides with the corresponding reference element in the time difference as the absent duty time period of adjustment, recording the time period which does not coincide with the corresponding reference element in the time difference as the exchange time period corresponding to the reference element, and further obtaining the exchange time period corresponding to each element in the first absent duty time period set corresponding to the nth 1 staff.
In the process of acquiring the switching time periods, whether other elements in the first absent time period set form an association relationship with the m1 th element is judged, so as to determine a reference element corresponding to the m1 th element, and meanwhile, whether other elements in the first absent time period set form an association relationship with the m1 th element is judged, namely that absent time periods corresponding to the m1 th element and other elements in the first absent time period set belong to the same day; for the case that other elements in the first absent period set form an association relationship with the m1 th element, it is described that two absent periods exist on the day corresponding to the m1 th element, and when the reference elements are acquired, the reference elements corresponding to the two are required to be unified; the m1 th element and the absent time period corresponding to the element forming the association relation with the elementThe integral values of Fn1(t) in the absence period corresponding to the m1 th element and the element forming the association relation with the m1 th element are compared, because the integral values of Fn1(t) represent the area enclosed by the function Fn1(t) and the horizontal axis in the absence period, the m1 th element and the element forming the association relation with the m1 th element are equal to each other in duration of the absence period corresponding to the element forming the association relation with the m, namely, the length of the horizontal coordinate is equal, the vertical coordinate of Fn1(t) reflects the absence times of the n1 th employee in the first time period at the time point t, and further the integral value of Fn1(t) can visually reflect the severity of the absence corresponding to the employee in a certain absence period; the average moving speed Vn1 of the nth 1 employee is obtained so as to predict the theoretical duration of absence of work of the employee in the absence of work according to the maximum distance between the employee in the absence of work and the attendance point
Figure BDA0003589270520000061
Obtaining the corresponding exchange time length of the reference element
Figure BDA0003589270520000062
Is due to Tm1 and
Figure BDA0003589270520000063
the obtained theoretical time length is adopted, and in order to reduce the adjustment time length of the staff in the subsequent scheduling process as much as possible, Tm1 and Tm1 are selected
Figure BDA0003589270520000064
The minimum of these two theoretical durations; comparing tmax-tmin with T 2 -T 1 The comparison is carried out to distinguish the working modes of the staff, and when tmax-tmin is T 2 -T 1 When the time is used, the daily scheduling time of the staff is fixed, so that the staff can only adjust the time according to the scheduling time when time periods are changed; when tmax-tmin > T 2 -T 1 In the time, the situation that the work attendance of the staff is fluctuating is explained, and the situation is more suitable for adaptive adjustment during the scheduling.
Further, the exchange time period service influence value acquisition module divides one day into e time nodes,
respectively obtaining the total number of the traffics received by the nth 1 employee from the beginning of each day to the p-th time node of the day in the historical data, calculating the average value of the total traffics received by the nth 1 employee from the beginning of the day to the p-th time node of the day in the historical data,
further obtaining the average value of the total number of the traffics received by the nth 1 employees from the beginning of the day to the pth time node of the day when p is different values
Figure BDA0003589270520000065
And form traffic data pairs
Figure BDA0003589270520000066
Marking the corresponding points of the traffic data corresponding to different p values in the rectangular plane coordinate system one by one according to the sequence from small to large, fitting the marked points in the rectangular plane coordinate system according to a preset linear fitting model in a database to obtain a traffic fitting function Qn1(t1) corresponding to the nth 1 employee, wherein t1 is more than or equal to 0 and less than 24,
the horizontal coordinate in the plane rectangular coordinate system represents the time length of each time node in a day from a day starting point, and the unit is hour,
the vertical coordinate in the rectangular plane coordinate system is the total number of the received services within the corresponding time length of each time node in one day from the starting point in one day,
the derivation of Qn1(t1) resulted in a time-varying function Wn1(t1) of traffic at the nth 1 employee unit time, said
Figure BDA0003589270520000071
The switching time period service influence value acquisition module obtains each adjusted absent duty time period and corresponding switching time period of the nth 1 employees, further obtains the absent duty time period corresponding to each switching time period corresponding to the nth 1 employees, and records the influence value of the d-th switching time period corresponding to the nth 1 employees as Rn1 relative to the corresponding adjusted absent duty time period on the service d 。
In the process of acquiring the traffic fitting function Qn1(t1) corresponding to the nth 1 employee, the business influence value acquisition module further performs linear fitting according to the traffic acquired from different time periods in one day, and then performs linear fitting according to the traffic acquired from different time periods in one day
Figure BDA0003589270520000072
Further acquiring a derivative function Wn1(t1) of the Qn1(t1), and combining each adjusted absent time period and the corresponding exchange time period, the influence value of each exchange time period on the service relative to the corresponding adjusted absent time period can be respectively predicted; different traffic data pairs during the linear fitting
Figure BDA0003589270520000073
The more the reference points are different reference points for linear fitting, the more accurate the corresponding linear fitting result is; qn1(t1) corresponds to the average value of the total number of the traffics received by the nth 1 employee from the beginning of the day to the time node t1 of the day, which is equivalent to an accumulated value, and the accumulated value is differentiated to obtain the instantaneous change value of the traffics, namely, the function Wn1(t1) of the traffics of the nth 1 employee unit time along with the change of the traffics; and then according to each adjusted absent duty time period and the corresponding exchange time period of each of the n1 th employees, service values corresponding to each adjusted absent duty time period and the corresponding exchange time period can be predicted respectively.
Further, the module for acquiring the service impact value of the switching time period obtains the service impact value Rn1 d The method comprises the following steps:
s2.1, predicting the received traffic corresponding to the nth 1 employee in the d-th adjusted absent period, and recording the traffic as
Figure BDA0003589270520000074
The above-mentioned
Figure BDA0003589270520000075
Wherein d1 represents an adjusted absenteeism time periodD2 denotes the end point of the adjusted absent period of time;
s2.2, predicting the received traffic corresponding to the nth 1 employee in the d-th exchange time period, and recording the traffic as
Figure BDA0003589270520000081
The above-mentioned
Figure BDA0003589270520000082
Wherein d3 denotes a start time point of the zapping period and d4 denotes an end time point of the zapping period;
s2.3, calculating Rn1 d ，
When in use
Figure BDA0003589270520000083
And is
Figure BDA0003589270520000084
Then, the Rn1 d ＝0，
When in use
Figure BDA0003589270520000085
And is
Figure BDA0003589270520000086
When is in use, the
Figure BDA0003589270520000087
The method for exchanging the time period business influence value acquisition module obtains the business influence value Rn1 d In the process of (1), calculate
Figure BDA0003589270520000088
The difference between the received traffic corresponding to the exchange time period and the corresponding absent time period can be intuitively reflected, when Rn1 d When the time period is equal to 0, the difference does not exist between the received traffic volumes respectively corresponding to the exchange time period and the corresponding adjusted absent time period; when Rn1 d When the pressure is greater than 0, the regulation is illustratedThe received traffic corresponding to the time change period is more than the received traffic corresponding to the correspondingly adjusted absent time period, and the time change period can bring more benefits to enterprises; when Rn1 d If < 0, it means that the received traffic volume corresponding to the switching time period is less than the received traffic volume corresponding to the correspondingly adjusted absenteeism time period, and the enterprise benefit is damaged by the switching time period.
Further, the method for determining the priority of each corresponding employee in the same exchange time period by the exchange time period priority confirmation module includes the following steps:
s3.1, respectively acquiring the number of each corresponding employee in the same exchange time period and the business influence value corresponding to each employee in the exchange time period;
s3.2, respectively acquiring the absent duty time period corresponding to the exchange time period and the integral value of the first attendance state function in the corresponding absent duty time period;
s3.3, calculating the product of the business influence value corresponding to each employee in the exchange time period and the integral value of the corresponding first attendance state function;
and S3.4, sequencing the obtained products in a descending order, wherein the sequencing serial number of each product is the priority of the staff corresponding to the product in the exchange time period.
Further, the scheduling plan determining module acquires each exchanged absent duty time period and corresponding exchanged time period corresponding to each employee,
judging that the same exchange time period is normal under the condition that the same exchange time period corresponds to one employee;
for the condition that the same exchange time period corresponds to a plurality of employees, acquiring the number of the employees corresponding to the exchange time period and the priority of each employee, comparing the number of the employees corresponding to the exchange time period with the exchange number threshold,
when the number of staff corresponding to the exchange time period is less than or equal to the exchange number threshold value, judging that the exchange time period is normal;
when the number of the staff corresponding to the exchange time period is larger than the threshold value of the number of the staff, the priority of each staff corresponding to the exchange time period is selected one by one from high to low, the exchange time period corresponding to the staff with the number equal to the threshold value of the number of the staff with the exchange number and the high priority is judged to be normal, the staff with the number equal to the difference of the number of the staff corresponding to the exchange time period minus the threshold value of the number of the staff with the low priority is judged, the corresponding exchange time period is abnormal,
in the process of the shift arrangement of the staff,
when the swap period is abnormal, the swap period is not changed,
when the swap period is normal, the adjusted absent period is replaced with the swap period.
An attendance information automatic management method for human resources comprises the following steps:
s1, obtaining attendance information of each employee through an attendance information obtaining module, wherein the attendance information comprises attendance time periods;
s2, the attendance abnormal information acquisition module acquires attendance abnormal information corresponding to each employee according to the attendance information corresponding to each employee and the scheduling time corresponding to the corresponding employee;
s3, respectively acquiring each absent time period of each employee in a first time period through an absent time period planning module, counting corresponding employees in the same or partially overlapped absent time periods, and acquiring corresponding exchange time periods of the absent time periods corresponding to the employees;
s4, analyzing the influence value of the staff on the service relative to the absent time period by the exchange time period according to the corresponding posts of the staff by the exchange time period service influence value acquisition module;
s5, determining the priority of each corresponding employee in the same exchanging time period through an exchanging time period priority confirming module;
and S6, the scheduling plan determining module determines the scheduling result of each employee according to the priority condition of each employee in the exchange time period priority determining module.
Compared with the prior art, the invention has the following beneficial effects: the invention not only realizes the monitoring of staff attendance information, but also further analyzes the monitored staff attendance data, determines the staff-absent time period and the corresponding exchange time period which are adjusted by the staff, analyzes the influence value of the exchange time period on the business, further obtains the corresponding priority of each staff in the same exchange time period, confirms the scheduling result of each staff, realizes the intelligent management of the scheduling condition of the staff, ensures that the scheduling result of the staff is more fit with the life habit of the staff, and ensures the working efficiency of the staff.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of an attendance information automatic management system for human resources according to the present invention;
FIG. 2 is a diagram illustrating a service impact value Rn1 obtained by a time slot exchange service impact value acquisition module in the attendance information automatic management system for human resources according to the present invention d A schematic flow diagram of the method of (1);
fig. 3 is a schematic flowchart of a method for determining priorities of corresponding employees in the same exchange time period by an exchange time period priority confirmation module in the attendance information automatic management system for human resources according to the present invention;
fig. 4 is a schematic flow chart of the attendance information automatic management method for human resources according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: attendance information automated management system for manpower resources includes:
the attendance information acquisition module is used for acquiring attendance information of each employee, and the attendance information comprises attendance time periods;
the attendance abnormal information acquisition module is used for acquiring attendance abnormal information corresponding to each employee according to attendance information corresponding to each employee and scheduling time corresponding to the corresponding employee;
the intelligent scheduling module comprises an absent duty time period planning module, a time period exchange service influence value acquisition module, a time period exchange priority confirmation module and a scheduling planning determination module,
the absent time period planning module is used for respectively acquiring each absent time period of each employee in a first time period and acquiring corresponding exchange time periods of the absent time periods corresponding to each employee;
the exchange time period business influence value acquisition module analyzes the influence value of the exchange time period of the staff relative to the absent time period on the business according to the corresponding posts of the staff;
the exchange time period priority confirming module is used for determining the priority of each corresponding employee in the same exchange time period;
and the scheduling plan determining module determines the scheduling result of each employee according to the priority condition of each employee in the exchange time period priority determining module.
The invention realizes the monitoring of staff attendance information through the cooperative cooperation of all modules, further analyzes the monitored staff attendance data, determines the staff absent time period and the corresponding exchange time period which are adjusted by the staff, analyzes the influence value of the exchange time period on the business, further obtains the priority of each corresponding staff in the same exchange time period, confirms the scheduling result of each staff and realizes the intelligent management of the scheduling condition of the staff.
The attendance exception information acquisition module records the starting work-in time point of each day in the work-scheduling time corresponding to the staff as a first time point,
recording the starting off-duty time point of each day in the scheduling time corresponding to the employee as a second time point,
the attendance abnormity information acquisition module acquires the distance between each employee and the attendance point at the first time point and the distance between each employee and the attendance point at the second time respectively every day,
the attendance exception information comprises the absence time period, the distances between positions where the first time point and the second time point of the employee are located and the attendance points on the day of exception attendance, and the absence time period is the late arrival time period and the early exit time period of the employee.
The obtained absent time period refers to a time period corresponding to the late arrival of the staff on duty and a time period leaving ahead before work, namely the beginning and the end of each day of scheduling time are monitored, if the staff is on duty on schedule and absent on the way, but the returning condition before work is not in the monitoring range of the absent time period; the first time point and the second time point are set for monitoring the distance between the two time points and the attendance point, and further providing data reference for subsequently acquiring the average value of the moving speed of the staff in the process of going to and going from work.
The absent time period planning module respectively acquires each absent time period of each employee in a first time period, counts each absent time period corresponding to each employee in the first time period, numbers each employee,
obtaining a function fn1(t) of the attendance state of the nth 1 employee in the nth 2 th day of the first time period as a function of time n2 ) Wherein, fn1(t) n2 ) T in (1) n2 The value range of (a) is the shift scheduling time of the nth 1 employees in the nth 2 th day of the first time period,
when the n1 th employee is in the first time period, the n2 th day t n2 When the attendance status is absent, fn1 is at this time (t) n2 )＝1；
When the n1 th employee is in the first time period, the n2 th day t n2 When the attendance status is attendance, then fn1(t) n2 )＝0；
Integrating functions of the variation of the attendance states of the nth 1 employees along with the time when n2 is different values in the first time period to obtain a first attendance state function Fn1(t) of the nth 1 employees,
obtaining n2 as different values, the n1 th employee in the first time period t n2 The minimum value of (d), denoted as tmin,
obtaining n2 as different values, the n1 th employee in the first time period t n2 The maximum value of (d), denoted as tmax,
the value range of t in Fn1(t) is tmin is less than or equal to t and less than or equal to tmax;
for the n1 th employee, the first time period n2 corresponds to fn1(t n2 ) Middle t n2 Expands the value range of fn1(t) n2 ) The corresponding function after expansion is denoted as gn 1(t) n2 ) Wherein gn 1(t) n2 ) Middle t n2 The value range of tmin is less than or equal to t n2 ≤tmax，
When gn 1(t) n2 ) Middle t n2 And fn1(t) n2 ) T in (1) n2 When equal, gn 1(t) n2 )＝fn1(t n2 )，
When gn 1(t) n2 ) Middle t n2 And fn1(t) n2 ) T in (1) n2 When not equal, gn 1(t) n2 )＝0；
The above-mentioned
Figure BDA0003589270520000121
Where n3 is the total number of days in the first time period.
The first time period in this embodiment comprises two days,
function of attendance state of employee # 01 in first day as a function of time
Figure BDA0003589270520000122
Function of attendance status of employee # 01 on the next day as a function of time
Figure BDA0003589270520000123
Then
Figure BDA0003589270520000124
Figure BDA0003589270520000125
Then the first attendance status function of employee # 01
Figure BDA0003589270520000126
The absent duty time period planning module acquires fn1(t) n2 ) Thereafter, gn1 is further acquired (t) n2 ) Then, for gn 1(t) n2 ) Middle t n2 The value range of (a) is expanded to obtain the maximum time span of working of the employee in the scheduling time of the employee, and if the scheduling time of a certain employee is divided into early shift, middle shift and late shift, gn 1(t) n2 ) Middle t n2 The expanded value range is a union set of time periods respectively corresponding to the early shift, the middle shift and the night of the staff; get gn 1(t) n2 ) Is to ensure gn 1(t) n2 ) Middle t n2 Is the same as the value range of t in Fn1(t), and then passes through
Figure BDA0003589270520000127
In the process of acquiring the Fn1(t), corresponding function values are meaningful when t is different in the Fn1 (t); setting t n2 In different attendance states, fn1(t) n2 ) 1 or 0, because the attendance status of the employee is differentiated by way of a function, and fn1(t) n2 ) The value of Fn1(t) is set to 0, so that the acquired Fn1(t) is not influenced by the total days in the first time period, and when the attendance states corresponding to the same time t in different days in the first time period are both attendance, the corresponding value of Fn1(t) is still 0.
The absent duty time period planning module compares a first attendance state function Fn1(t) of the nth 1 employees with a first threshold value, screens out a value range of t corresponding to the Fn1(t) which is more than or equal to the first threshold value, and records the value range as tn1,
acquiring each absent time period of the nth 1 employee in the first time period, which is coincident with the tn1, to obtain a first absent time period set corresponding to the nth 1 employee, adding each absent time period of the nth 1 employee in the first time period to a blank set one by one to obtain a second absent time period set,
and acquiring the relation between the absent time periods corresponding to each element in the first absent time period set corresponding to the nth 1 employee, associating each element with the same day of the corresponding time in the first time period, and acquiring the exchange time period corresponding to each element in the first absent time period set corresponding to the nth 1 employee.
The invention discloses an absent duty time period planning module which compares a first attendance state function Fn1(t) of an n1 th employee with a first threshold value so as to preliminarily screen out absent duty time period sets (a first absent duty time period set and a second absent duty time period set) of the employees; the first absent time period set is obtained for obtaining each regulated absent time period and corresponding exchange time period of the staff in the follow-up process; the first absent time period set is obtained for obtaining the corresponding time length of the corresponding absent time period of the staff in the follow-up process.
The method for acquiring the switching time period comprises the following steps:
s1.1, acquiring the m1 th element in a first absent period set corresponding to the n1 th employee;
s1.2, judging whether other elements exist in the first absent period set corresponding to the nth 1 employee or not and forming an association relationship with the m1 th element,
if no other element in the first absent period set corresponding to the nth 1 employee is in an association relationship with the m1 th element, the m1 th element is taken as a reference element for acquiring the swap period corresponding to the m1 th element,
if the association relationship between other elements and the m1 element exists in the first absence period set corresponding to the nth 1 employee, comparing the durations of the absence periods respectively corresponding to the m1 element and the element forming the association relationship with the m1 element, taking the element corresponding to the maximum duration as a reference element for acquiring the exchange period corresponding to the m1 element,
if the duration of the absent time period corresponding to the m1 th element and the element forming the association relationship with the element are equal, the integral value of Fn1(t) in the absent time period corresponding to the m1 th element and the element forming the association relationship with the element is compared,
if the obtained integral values are not equal, the element corresponding to the largest integral value is taken as a reference element for acquiring the transposition time period corresponding to the m1 th element,
if the obtained integral values are equal, randomly selecting one element from the m1 th element and the elements forming the association relation with the element as a reference element for obtaining the exchange time period corresponding to the m1 th element;
s1.3, acquiring a reference element of the transposition time period corresponding to the m1 th element, and recording the corresponding time length as Tm 1;
s1.4, obtaining the distance between the positions of the first time point and the second time point of the employee and the attendance point on the day of the abnormal attendance of the nth 1 workers, forming a data pair by the attendance duration corresponding to the abnormal attendance of the nth 1 workers and the maximum distance between the employee and the attendance point during the corresponding attendance,
dividing the difference between the maximum distance between the employee and the attendance point during the absence in each data pair and the attendance range threshold value L0 by the absence duration in the corresponding data pair to obtain the moving speed of the nth 1 th employee during the absence,
calculating the average value of the corresponding moving speed of each data pair corresponding to the nth 1 staff to obtain the average moving speed of the nth 1 staff, which is recorded as Vn1,
when the absent time period corresponding to the abnormal attendance of the employee is the late arrival time period of the employee, the maximum distance between the employee and the attendance point in the corresponding absent time is the distance between the position of the first time point of the employee and the attendance point on the abnormal attendance day,
when the absent time period corresponding to the abnormal attendance of the employee is the early quit time period of the employee, the maximum distance between the employee and the attendance point in the corresponding absent time is the distance between the position of the second time point of the employee and the attendance point on the abnormal attendance day;
s1.5, acquiring the absent time period corresponding to the reference element in the second absent time period set, andobtaining the maximum distance L between the employee and the attendance point in the absent duty time period, and obtaining the exchange duration corresponding to the reference element
Figure BDA0003589270520000141
S1.6, obtaining the corresponding scheduling time of the reference element on the day and recording the corresponding scheduling time as T 1 ～T 2 ；
S1.7, when tmax-tmin ═ T 2 -T 1 When the time is needed, the absence time period corresponding to the reference element is further judged to be the late time period of the staff or the early time period of the staff,
if the absent time period corresponding to the reference element is the late arrival time period of the employee, the scheduling time adjusted on the same day in the first time period according to the reference element is
Figure BDA0003589270520000142
If the absent time period corresponding to the reference element is the early quit time period of the employee, the scheduling time adjusted on the same day in the first time period according to the reference element is
Figure BDA0003589270520000143
S1.8, when tmax-tmin > T 2 -T 1 When the time is needed, the absence time period corresponding to the reference element is further judged to be the late time period of the staff or the early time period of the staff,
if the absent time period corresponding to the reference element is the late arrival time period of the employee, comparing tmax-T 2 And
Figure BDA0003589270520000144
the size of (a) is (b),
if it is not
Figure BDA0003589270520000151
The shift schedule time adjusted on the day by reference to the elements in the first time period is
Figure BDA0003589270520000152
If it is not
Figure BDA0003589270520000153
The scheduling time adjusted on the day by the reference element in the first time period is tmax- (T) 2 -T 1 )～tmax，
If the absent duty time period corresponding to the reference element is the employee early-quit time period, and if the absent duty time period corresponding to the reference element is the employee early-quit time period, comparing T 1 Tmin and
Figure BDA0003589270520000154
the size of (a) is (b),
if it is not
Figure BDA0003589270520000155
The shift schedule time adjusted on the day by reference to the elements in the first time period is
Figure BDA0003589270520000156
If it is not
Figure BDA0003589270520000157
The scheduling time after the current day of the reference element in the first time period is tmin-tmin + (T) 2 -T 1 )；
S1.9, calculating the time difference between the scheduled time after adjustment and the scheduled time before adjustment, recording the time period which coincides with the corresponding reference element in the time difference as the absent duty time period of adjustment, recording the time period which does not coincide with the corresponding reference element in the time difference as the exchange time period corresponding to the reference element, and further obtaining the exchange time period corresponding to each element in the first absent duty time period set corresponding to the nth 1 staff.
In the process of acquiring the time slot for exchanging, judging whether other elements in the first absent time slot set form an association relation with the m1 th element or not, wherein the purpose is to determine a reference element corresponding to the m1 th element; for the case that other elements in the first absent period set are in association with the m1 th element, the day of the date corresponding to the m1 th element is explained, and two absent periods existWhen the reference elements are obtained, the reference elements respectively corresponding to the two elements need to be unified; the m1 th element and the elements forming the association relationship with the element are respectively equal in duration of the absent time period, the integral value of Fn1(t) in the absent time period corresponding to the m1 th element and the elements forming the association relationship with the element is set and compared, because the integral value of Fn1(t) represents the area enclosed by the function Fn1(t) in the corresponding absent time period and the horizontal axis, and the m1 th element and the elements forming the association relationship with the element are respectively equal in duration of the absent time period corresponding to the element forming the association relationship with the element, namely the length of the horizontal axis is equal, and the vertical coordinate of Fn1(t) reflects the absent times of the n1 th employee in the first time period at the time point t, so that the integral value of Fn1(t) can visually reflect the severity of the absent time corresponding to a certain absent time period; the average moving speed Vn1 of the nth 1 employee is obtained so as to predict the theoretical duration of absence of work of the employee in the absence of work according to the maximum distance between the employee in the absence of work and the attendance point
Figure BDA0003589270520000158
Obtaining the corresponding exchange time length of the reference element
Figure BDA0003589270520000159
Is due to Tm1 and
Figure BDA00035892705200001510
the obtained theoretical time length is adopted, and in order to reduce the adjustment time length of the staff in the subsequent scheduling process as much as possible, Tm1 and Tm1 are selected
Figure BDA00035892705200001511
The minimum of these two theoretical durations; comparing tmax-tmin with T 2 -T 1 The comparison is carried out to distinguish the working modes of the staff, and when tmax-tmin is T 2 -T 1 When the time is used, the daily scheduling time of the staff is fixed, so that the staff can only adjust the time according to the scheduling time when time periods are changed; when tmax-tmin > T 2 -T 1 In the time, the situation that the work attendance of the staff is fluctuating is explained, and the situation is more suitable for adaptive adjustment during the scheduling.
The exchange time period service impact value acquisition module divides a day into e time nodes,
respectively obtaining the total number of the traffics received by the nth 1 employee from the beginning of each day to the p-th time node of the day in the historical data, calculating the average value of the total traffics received by the nth 1 employee from the beginning of the day to the p-th time node of the day in the historical data,
further obtaining the average value of the total number of the traffics received by the nth 1 employees from the beginning of the day to the pth time node of the day when p is different values
Figure BDA0003589270520000161
And form traffic data pairs
Figure BDA0003589270520000162
Marking the corresponding points of the traffic data corresponding to different p values in the rectangular plane coordinate system one by one according to the sequence from small to large, fitting the marked points in the rectangular plane coordinate system according to a preset linear fitting model in a database to obtain a traffic fitting function Qn1(t1) corresponding to the nth 1 employee, wherein t1 is more than or equal to 0 and less than 24,
the horizontal coordinate in the plane rectangular coordinate system represents the time length of each time node in a day from a day starting point, and the unit is hour,
the vertical coordinate in the rectangular plane coordinate system is the total number of the received services within the corresponding time length of each time node in one day from the starting point in one day,
the derivation of Qn1(t1) resulted in a time-varying function Wn1(t1) of traffic at the nth 1 employee unit time, said
Figure BDA0003589270520000163
Each adjusted absent time period and corresponding exchange time period in the n1 th employee of the exchange time period business influence value acquisition module further obtain each exchange time period corresponding to the n1 th employee relative to the corresponding adjusted absent time period, and the business dealing processThe influence value of the service is recorded as Rn1 according to the d-th switching time period corresponding to the n1 th employee relative to the corresponding adjusted absent duty time period d 。
In this embodiment, if the traffic fitting function Q02(t1) corresponding to employee No. 02 is 5 × t1,
since the result of the derivation of the function y 5 x is y' 5,
the function W02(t1) of the time-dependent change in the traffic volume of employee No. 02 per unit time becomes 5.
In the process of acquiring the traffic fitting function Qn1(t1) corresponding to the nth 1 employee, the business influence value acquisition module further performs linear fitting according to the traffic acquired from different time periods in one day, and then performs linear fitting according to the traffic acquired from different time periods in one day
Figure BDA0003589270520000171
Further acquiring a derivative function Wn1(t1) of Qn1(t1), and combining each adjusted absent time period and its corresponding swap time period, the influence value of each swap time period on the service relative to the corresponding adjusted absent time period can be predicted respectively.
Further, the module for acquiring the service impact value of the switching time period obtains the service impact value Rn1 d The method comprises the following steps:
s2.1, predicting the received traffic corresponding to the nth 1 employee in the d-th adjusted absent period, and recording the traffic as
Figure BDA0003589270520000172
The above-mentioned
Figure BDA0003589270520000173
Wherein d1 denotes a starting point in time of the adjusted absent time period and d2 denotes an ending point in time of the adjusted absent time period;
s2.2, predicting the received traffic corresponding to the nth 1 employee in the d-th exchange time period, and recording the traffic as
Figure BDA0003589270520000174
The above-mentioned
Figure BDA0003589270520000175
Wherein d3 denotes a start time point of the zapping period and d4 denotes an end time point of the zapping period;
s2.3, calculating Rn1 d ，
When in use
Figure BDA0003589270520000176
And is
Figure BDA0003589270520000177
Then, the Rn1 d ＝0，
When in use
Figure BDA0003589270520000178
And is
Figure BDA0003589270520000179
When is in use, the
Figure BDA00035892705200001710
In this embodiment, if the traffic fitting function Q02(t1) corresponding to employee No. 02 is 5 × t1,
the starting time point of the No. 02 employee corresponding to the 3 rd adjusted absent period is 8, the ending time point of the 3 rd adjusted absent period is 8.5,
the starting time point of the No. 02 employee in the No. 3 switching time period is 13.5, and the ending time point of the No. 3 switching time period is 14;
then
Figure BDA00035892705200001711
Figure BDA00035892705200001712
Since 2.5 > 0, then R02 3 ＝(2.5-2.5)/(2.5+2.5)＝0。
The method for exchanging the time period business influence value acquisition module obtains the business influence value Rn1 d In the process of (1), calculate
Figure BDA00035892705200001713
The difference between the received traffic corresponding to the exchange time period and the corresponding absent time period can be intuitively reflected, when Rn1 d When the time period is equal to 0, the difference does not exist between the received traffic volumes respectively corresponding to the exchange time period and the corresponding adjusted absent time period; when Rn1 d When the number of the lost time periods is more than 0, the received service volume corresponding to the exchange time period is more than the received service volume corresponding to the correspondingly adjusted absent time period, and the exchange time period can bring more benefits to enterprises; when Rn1 d If < 0, it means that the received traffic volume corresponding to the switching time period is less than the received traffic volume corresponding to the correspondingly adjusted absenteeism time period, and the enterprise benefit is damaged by the switching time period.
The method for determining the priority of each corresponding employee in the same exchange time period by the exchange time period priority confirmation module comprises the following steps:
s3.1, respectively acquiring the number of each corresponding employee in the same exchange time period and the business influence value corresponding to each employee in the exchange time period;
s3.2, respectively acquiring the absent duty time period corresponding to the exchange time period and the integral value of the first attendance state function in the corresponding absent duty time period;
s3.3, calculating the product of the business influence value corresponding to each employee in the exchange time period and the integral value of the corresponding first attendance state function;
and S3.4, sequencing the obtained products in a descending order, wherein the sequencing serial number of each product is the priority of the staff corresponding to the product in the exchange time period.
The scheduling plan determining module acquires the absenteeism time period and the corresponding exchange time period of each exchange corresponding to each employee,
judging that the same exchange time period is normal under the condition that the same exchange time period corresponds to one employee;
for the condition that the same exchange time period corresponds to a plurality of employees, acquiring the number of the employees corresponding to the exchange time period and the priority of each employee, comparing the number of the employees corresponding to the exchange time period with the exchange number threshold,
when the number of staff corresponding to the exchange time period is less than or equal to the exchange number threshold value, judging that the exchange time period is normal;
when the number of the staff corresponding to the exchange time period is larger than the threshold value of the number of the staff, the priority of each staff corresponding to the exchange time period is selected one by one from high to low, the exchange time period corresponding to the staff with the number equal to the threshold value of the number of the staff with the exchange number and the high priority is judged to be normal, the staff with the number equal to the difference of the number of the staff corresponding to the exchange time period minus the threshold value of the number of the staff with the low priority is judged, the corresponding exchange time period is abnormal,
in the process of the shift arrangement of the staff,
when the swap period is abnormal, the swap period is not changed,
when the swap period is normal, the adjusted absent period is replaced with the swap period.
An attendance information automatic management method for human resources comprises the following steps:
s1, acquiring attendance information of each employee through an attendance information acquisition module, wherein the attendance information comprises attendance time periods;
s2, the attendance abnormal information acquisition module acquires attendance abnormal information corresponding to each employee according to the attendance information corresponding to each employee and the scheduling time corresponding to the corresponding employee;
s3, respectively acquiring each absent time period of each employee in a first time period through an absent time period planning module, counting corresponding employees in the same or partially overlapped absent time periods, and acquiring corresponding exchange time periods of the absent time periods corresponding to the employees;
s4, analyzing the influence value of the staff on the service relative to the absent time period by the exchange time period according to the corresponding posts of the staff by the exchange time period service influence value acquisition module;
s5, determining the priority of each corresponding employee in the same exchanging time period through an exchanging time period priority confirming module;
s6, the scheduling plan determining module determines the scheduling result of each employee according to the priority condition of each employee in the exchange time period priority confirming module
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. Attendance information automated management system for manpower resources, its characterized in that includes:
the attendance information acquisition module is used for acquiring attendance information of each employee, and the attendance information comprises attendance time periods;
the attendance abnormal information acquisition module is used for acquiring attendance abnormal information corresponding to each employee according to the attendance information corresponding to each employee and the scheduling time corresponding to the corresponding employee;
the intelligent scheduling module comprises an absent duty time period planning module, a time period exchange service influence value acquisition module, a time period exchange priority confirmation module and a scheduling planning determination module,
the absent time period planning module is used for respectively acquiring each absent time period of each employee in a first time period and acquiring corresponding exchange time periods of the absent time periods corresponding to each employee;
the exchange time period business influence value acquisition module analyzes the influence value of the exchange time period of the staff relative to the absent time period on the business according to the corresponding posts of the staff;
the exchange time period priority confirming module is used for determining the priority of each corresponding employee in the same exchange time period;
and the scheduling plan determining module determines the scheduling result of each employee according to the priority condition of each employee in the exchange time period priority determining module.
2. The attendance information automatic management system for human resources according to claim 1, characterized in that: the attendance exception information acquisition module records the starting work-in time point of each day in the work-scheduling time corresponding to the staff as a first time point,
recording the starting off-duty time point of each day in the scheduling time corresponding to the employee as a second time point,
the attendance abnormity information acquisition module acquires the distance between each employee and the attendance point at the first time point and the distance between each employee and the attendance point at the second time respectively every day,
the attendance exception information comprises the absence time period, the distances between positions where the first time point and the second time point of the employee are located and the attendance points on the day of exception attendance, and the absence time period is the late arrival time period and the early exit time period of the employee.
3. The attendance information automatic management system for human resources according to claim 2, characterized in that: the absent time period planning module respectively acquires each absent time period of each employee in a first time period, counts each absent time period corresponding to each employee in the first time period, numbers each employee,
obtaining a function fn1(t) of the attendance state of the nth 1 employee in the nth 2 th day of the first time period as a function of time n2 ) Wherein, fn1(t) n2 ) T in (1) n2 The value range of (a) is the shift scheduling time of the nth 1 employees in the nth 2 th day of the first time period,
when the n1 th employee is in the first time period, the n2 th day t n2 When the attendance status is absent, fn1 is at this time (t) n2 )＝1；
When the n1 th employee is in the first time period, the n2 th day t n2 When the attendance status is attendance, then fn1(t) n2 )＝0；
Integrating functions of the variation of the attendance states of the nth 1 employees along with the time when n2 is different values in the first time period to obtain a first attendance state function Fn1(t) of the nth 1 employees,
obtaining n2 as different values, the n1 th employee in the first time period t n2 The minimum value of (d), denoted as tmin,
obtaining n2 as different values, the n1 th employee in the first time period t n2 The maximum value of (d), denoted as tmax,
the value range of t in Fn1(t) is tmin is less than or equal to t and less than or equal to tmax;
for the n1 th employee, the first time period n2 corresponds to fn1(t n2 ) Middle t n2 Expands the value range of fn1(t) n2 ) The corresponding function after expansion is denoted as gn 1(t) n2 ) Wherein gn 1(t) n2 ) Middle t n2 The value range of tmin is less than or equal to t n2 ≤tmax，
When gn 1(t) n2 ) Middle t n2 And fn1(t) n2 ) T in (1) n2 When equal, gn 1(t) n2 )＝fn1(t n2 )，
When gn1(t n2 ) Middle t n2 And fn1(t) n2 ) T in (1) n2 When not equal, gn 1(t) n2 )＝0；
The above-mentioned
Figure FDA0003589270510000021
Where n3 is the total number of days in the first time period.
4. The attendance information automatic management system for human resources according to claim 3, characterized in that: the absent duty time period planning module compares a first attendance state function Fn1(t) of the nth 1 employees with a first threshold value, screens out a value range of t corresponding to the Fn1(t) which is more than or equal to the first threshold value, and records the value range as tn1,
acquiring each absent duty time period of the nth 1 staff in the first time period and each time period overlapped with the tn1 to obtain a first absent duty time period set corresponding to the nth 1 staff, adding the absent duty time periods of the nth 1 staff in the first time period one by one into a blank set to obtain a second absent duty time period set,
obtaining the relation between the absent time periods corresponding to each element in the first absent time period set corresponding to the nth 1 staff, associating each element with the same day of corresponding time in the first time period, and obtaining the exchange time period corresponding to each element in the first absent time period set corresponding to the nth 1 staff.
5. The attendance information automatic management system for human resources according to claim 4, characterized in that: the method for acquiring the switching time period comprises the following steps:
s1.1, acquiring the m1 th element in a first absent period set corresponding to the n1 th employee;
s1.2, judging whether other elements exist in the first absent period set corresponding to the nth 1 employee or not and forming an association relationship with the m1 th element,
if no other element in the first absent period set corresponding to the nth 1 employee is in an association relationship with the m1 th element, the m1 th element is taken as a reference element for acquiring the swap period corresponding to the m1 th element,
if the association relationship between other elements and the m1 element exists in the first absence period set corresponding to the nth 1 employee, comparing the durations of the absence periods respectively corresponding to the m1 element and the element forming the association relationship with the m1 element, taking the element corresponding to the maximum duration as a reference element for acquiring the exchange period corresponding to the m1 element,
if the duration of the absent time period corresponding to the m1 th element and the element forming the association relationship with the element are equal, the integral value of Fn1(t) in the absent time period corresponding to the m1 th element and the element forming the association relationship with the element is compared,
if the obtained integral values are not equal, the element corresponding to the largest integral value is taken as a reference element for acquiring the transposition time period corresponding to the m1 th element,
if the obtained integral values are equal, randomly selecting one element from the m1 th element and the elements forming the association relation with the element as a reference element for obtaining the exchange time period corresponding to the m1 th element;
s1.3, acquiring a reference element of the transposition time period corresponding to the m1 th element, and recording the corresponding time length as Tm 1;
s1.4, obtaining the distance between the positions of the first time point and the second time point of the employee and the attendance point on the day of the abnormal attendance of the nth 1 workers, forming a data pair by the attendance duration corresponding to the abnormal attendance of the nth 1 workers and the maximum distance between the employee and the attendance point during the corresponding attendance,
dividing the difference between the maximum distance between the employee and the attendance point during the absence in each data pair and the attendance range threshold value L0 by the absence duration in the corresponding data pair to obtain the moving speed of the nth 1 th employee during the absence,
calculating the average value of the data corresponding to the nth 1 employee to the corresponding moving speed to obtain the average moving speed of the nth 1 employee, which is recorded as Vn1,
when the absent time period corresponding to the abnormal attendance of the employee is the late arrival time period of the employee, the maximum distance between the employee and the attendance point in the corresponding absent time is the distance between the position of the first time point of the employee and the attendance point on the abnormal attendance day,
when the absent time period corresponding to the abnormal attendance of the employee is the early exit time period of the employee, the maximum distance between the employee and the attendance point in the corresponding absent time is the distance between the position of the second time point of the employee and the attendance point on the abnormal attendance day;
s1.5, acquiring the absent time period corresponding to the reference element in the second absent time period set, acquiring the maximum distance L between the employee and the attendance point in the absent time period, and acquiring the exchange duration corresponding to the reference element
Figure FDA0003589270510000041
S1.6, obtaining the corresponding scheduling time of the reference element on the day and recording the corresponding scheduling time as T 1 ～T 2 ；
S1.7, when tmax-tmin ═ T 2 -T 1 When the time is needed, the absence time period corresponding to the reference element is further judged to be the late time period of the staff or the early time period of the staff,
if the absent time period corresponding to the reference element is the late arrival time period of the employee, the scheduling time adjusted on the same day in the first time period according to the reference element is
Figure FDA0003589270510000042
If the absent time period corresponding to the reference element is the early quit time period of the employee, the scheduling time adjusted on the same day in the first time period according to the reference element is
Figure FDA0003589270510000043
S1.8, when tmax-tmin > T 2 -T 1 When the time is needed, the absence time period corresponding to the reference element is further judged to be the late time period of the staff or the early time period of the staff,
if the absent time period corresponding to the reference element is the late arrival time period of the employee, comparing tmax-T 2 And
Figure FDA0003589270510000044
the size of (a) is (b),
if it is not
Figure FDA0003589270510000045
The shift schedule time adjusted on the day by reference to the elements in the first time period is
Figure FDA0003589270510000046
If it is not
Figure FDA0003589270510000047
The scheduling time adjusted on the day by the reference element in the first time period is tmax- (T) 2 -T 1 )～tmax，
If the absent duty time period corresponding to the reference element is the employee early-quit time period, and if the absent duty time period corresponding to the reference element is the employee early-quit time period, comparing T 1 Tmin and
Figure FDA0003589270510000048
the size of (a) is (b),
if it is not
Figure FDA0003589270510000049
The shift schedule time adjusted on the day by reference to the elements in the first time period is
Figure FDA00035892705100000410
If it is not
Figure FDA00035892705100000411
The scheduling time after the current day adjustment of the reference element in the first time period is tmin-tmin + (T) 2 -T 1 )；
S1.9, calculating the time difference between the scheduled time after adjustment and the scheduled time before adjustment, recording the time period which coincides with the corresponding reference element in the time difference as the absent duty time period of adjustment, recording the time period which does not coincide with the corresponding reference element in the time difference as the exchange time period corresponding to the reference element, and further obtaining the exchange time period corresponding to each element in the first absent duty time period set corresponding to the nth 1 staff.
6. The attendance information automatic management system for human resources according to claim 5, characterized in that: the exchange time period service impact value acquisition module divides a day into e time nodes,
respectively obtaining the total number of the traffics received by the nth 1 employee from the beginning of each day to the p-th time node of the day in the historical data, calculating the average value of the total traffics received by the nth 1 employee from the beginning of the day to the p-th time node of the day in the historical data,
further obtaining the average value of the total number of the traffics received by the nth 1 employees from the beginning of the day to the pth time node of the day when p is different values
Figure FDA0003589270510000051
And form traffic data pairs
Figure FDA0003589270510000052
Marking the corresponding points of the traffic data corresponding to different p values in the rectangular plane coordinate system one by one according to the sequence from small to large, fitting the marked points in the rectangular plane coordinate system according to a preset linear fitting model in a database to obtain a traffic fitting function Qn1(t1) corresponding to the nth 1 employee, wherein t1 is more than or equal to 0 and less than 24,
the horizontal coordinate in the plane rectangular coordinate system represents the time length of each time node in a day from a day starting point, and the unit is hour,
the vertical coordinate in the rectangular plane coordinate system is the total number of the received services within the corresponding time length of each time node in one day from the starting point in one day,
the derivation of Qn1(t1) resulted in a time-varying function Wn1(t1) of traffic at the nth 1 employee unit time, said
Figure FDA0003589270510000053
The switching time period service influence value acquisition module obtains each adjusted absent duty time period and corresponding switching time period of the nth 1 employees, further obtains the absent duty time period corresponding to each switching time period corresponding to the nth 1 employees, and records the influence value of the d-th switching time period corresponding to the nth 1 employees as Rn1 relative to the corresponding adjusted absent duty time period on the service d 。
7. The attendance information automatic management system for human resources according to claim 6, characterized in that: the exchange time period service influence value acquisition module obtains a service influence value Rn1 d The method comprises the following steps:
s2.1, predicting the received traffic corresponding to the nth 1 employee in the d-th adjusted absent period, and recording the traffic as
Figure FDA0003589270510000054
The above-mentioned
Figure FDA0003589270510000055
Wherein d1 denotes a starting point in time of the adjusted absent time period and d2 denotes an ending point in time of the adjusted absent time period;
s2.2, predicting the received traffic corresponding to the nth 1 employee in the d-th exchange time period, and recording the traffic as
Figure FDA0003589270510000061
The above-mentioned
Figure FDA0003589270510000062
Wherein d3 denotes a start time point of the zapping period and d4 denotes an end time point of the zapping period;
s2.3, calculating Rn1 d ，
When in use
Figure FDA0003589270510000063
And is
Figure FDA0003589270510000064
Then, the Rn1 d ＝0，
When in use
Figure FDA0003589270510000065
And is
Figure FDA0003589270510000066
When is in use, the
Figure FDA0003589270510000067
8. The attendance information automatic management system for human resources according to claim 7, characterized in that: the method for determining the priority of each corresponding employee in the same exchange time period by the exchange time period priority confirmation module comprises the following steps:
s3.1, respectively acquiring the number of each corresponding employee in the same exchange time period and the business influence value corresponding to each employee in the exchange time period;
s3.2, respectively acquiring the absent duty time period corresponding to the exchange time period and the integral value of the first attendance state function in the corresponding absent duty time period;
s3.3, calculating the product of the business influence value corresponding to each employee in the exchange time period and the integral value of the corresponding first attendance state function;
and S3.4, sequencing the obtained products in a descending order, wherein the sequencing serial number of each product is the priority of the staff corresponding to the product in the exchange time period.
9. The attendance information automatic management system for human resources according to claim 8, characterized in that: the scheduling plan determining module acquires the absenteeism time period and the corresponding exchange time period of each exchange corresponding to each employee,
judging that the same exchange time period is normal under the condition that the same exchange time period corresponds to one employee;
for the condition that the same exchange time period corresponds to a plurality of employees, acquiring the number of the employees corresponding to the exchange time period and the priority of each employee, comparing the number of the employees corresponding to the exchange time period with the exchange number threshold,
when the number of staff corresponding to the exchange time period is less than or equal to the exchange number threshold value, judging that the exchange time period is normal;
when the number of the staff corresponding to the exchange time period is larger than the threshold value of the number of the staff, the priority of each staff corresponding to the exchange time period is selected one by one from high to low, the exchange time period corresponding to the staff with the number equal to the threshold value of the number of the staff with the exchange number and the high priority is judged to be normal, the staff with the number equal to the difference of the number of the staff corresponding to the exchange time period minus the threshold value of the number of the staff with the low priority is judged, the corresponding exchange time period is abnormal,
in the process of the shift arrangement of the staff,
when the swap period is abnormal, the swap period is not changed,
when the swap period is normal, the adjusted absent period is replaced with the swap period.
10. The attendance information automatic management method for human resources, which applies the attendance information automatic management system for human resources according to any one of claims 1 to 9, characterized in that: the method comprises the following steps:
s1, acquiring attendance information of each employee through an attendance information acquisition module, wherein the attendance information comprises attendance time periods;
s2, the attendance abnormal information acquisition module acquires attendance abnormal information corresponding to each employee according to the attendance information corresponding to each employee and the scheduling time corresponding to the corresponding employee;
s3, respectively acquiring each absent time period of each employee in a first time period through an absent time period planning module, counting corresponding employees in the same or partially overlapped absent time periods, and acquiring corresponding exchange time periods of the absent time periods corresponding to the employees;
s4, analyzing the influence value of the staff on the service relative to the absent time period by the exchange time period according to the corresponding posts of the staff by the exchange time period service influence value acquisition module;
s5, determining the priority of each corresponding employee in the same exchanging time period through an exchanging time period priority confirming module;
and S6, the scheduling plan determining module determines the scheduling result of each employee according to the priority condition of each employee in the exchange time period priority determining module.
CN202210372285.6A 2022-04-11 2022-04-11 Attendance information automatic management system and method for human resources Pending CN114862339A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117495329A (en) * 2024-01-03 2024-02-02 齐心商用设备(深圳)有限公司 Attendance machine data information management method based on Internet of things

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117495329A (en) * 2024-01-03 2024-02-02 齐心商用设备(深圳)有限公司 Attendance machine data information management method based on Internet of things
CN117495329B (en) * 2024-01-03 2024-05-07 齐心商用设备(深圳)有限公司 Attendance machine data information management method based on Internet of things

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