CN115271372B - Human resource scheduling management system and method based on regional linkage - Google Patents

Human resource scheduling management system and method based on regional linkage Download PDF

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CN115271372B
CN115271372B CN202210777769.9A CN202210777769A CN115271372B CN 115271372 B CN115271372 B CN 115271372B CN 202210777769 A CN202210777769 A CN 202210777769A CN 115271372 B CN115271372 B CN 115271372B
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CN115271372A (en
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张海龙
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Wuxi Woqu Information Technology Co ltd
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    • G06Q10/10—Office automation; Time management
    • G06Q10/105—Human resources

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Abstract

The invention discloses a human resource scheduling management system and method based on regional linkage, and relates to the technical field of big data; the system comprises a scheduling people number determining module, a scheduling change updating module, a change processing module and a people number management module; the shift change updating module is used for acquiring first staff information causing abnormality of the shift table after the shift table is formulated, analyzing the familiarity of the first staff to the service, searching a second staff with the same service familiarity as the first staff, and updating the shift table; the change processing module helps the first staff to complete work by calling a second staff meeting the conditions, wherein the second staff arrives at the dispatched store from the original store at the optimal departure time point; the invention combines big data and machine learning, thereby being capable of timely acquiring the problem of peak passenger flow in the store where the first staff and the second staff are located, and greatly improving the working efficiency of the two stores.

Description

Human resource scheduling management system and method based on regional linkage
Technical Field
The invention relates to the technical field of big data, in particular to a human resource scheduling management system and method based on regional linkage.
Background
The scheduling management refers to reasonably arranging the work tasks and the work time of all workers on duty, so that the accurate arrangement of work is realized; the good scheduling management can not only improve the smooth work of the staff, but also improve the working efficiency of the staff;
the current scheduling management means that the past sales data in the store are obtained to obtain the passenger flow conditions in the store today, and the working time and the shift-off time of the staff are arranged according to the corresponding time when the passenger flow is high, so that the emergency situation of the passenger flow peak can be received; the currently arranged scheduling table can perform one-key scheduling, so that the time for a manager to check in real time can be reduced, the personal work efficiency of the manager is improved, and the work load is reduced for the manager; however, the existing scheduling management cannot solve the problem of urgent need of leave when the staff is in emergency, and once the staff leaves at peak time of passenger flow, the staff is insufficient and the problem of customers cannot be solved in time, so that the customers are dissatisfied with the impression of the store, and the sales data of the store are reduced; therefore, improvement of this problem is required.
Disclosure of Invention
The invention aims to provide a human resource scheduling management system and method based on regional linkage, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the human resource scheduling management system based on regional linkage comprises a scheduling people number determining module, a scheduling change updating module, a change processing module and a people number management module;
the scheduling person number determining module is used for acquiring sales data in the store and managing scheduling of staff with values in the store according to the sales information in the store;
the shift change updating module is used for acquiring first staff information causing abnormality of the shift table after the shift table is formulated, analyzing the familiarity of the first staff to the service, searching a second staff with the same service familiarity as the first staff, and updating the shift table;
the change processing module helps the first staff to complete work by calling a second staff meeting the conditions, wherein the second staff arrives at the dispatched store from the original store at the optimal departure time point, so that the second staff is ensured not to delay the gold selling time of the two stores;
the people number management module is used for acquiring sales information and passenger flow information of all stores and adjusting the number of positions in the stores according to the information;
the shift number determining module is connected with the shift change updating module; the change processing module is connected with the people number management module, and the shift change updating module is connected with the change processing module.
Further, the scheduling people number determining module comprises a sales data obtaining unit, a sales people number distribution unit and a scheduling table determining unit;
the sales data acquisition unit is used for acquiring sales data in all shops, determining sales peak time points of all shops according to the sales data, and transmitting the sales peak time points to the sales number distribution unit;
the sales number distribution unit arranges different positions and the corresponding numbers of the positions according to the sales peak time points, and transmits the arranged numbers and position data to the scheduling table determining unit;
the scheduling table determining unit makes a scheduling table according to the positions and the corresponding people number;
the output end of the sales data acquisition unit is connected with the input end of the sales number distribution unit; the output end of the sales number distribution unit is connected with the input end of the scheduling table determining unit.
Further, the shift change update module comprises an abnormal change reporting unit, a business familiarity determining unit, a job position capability matching unit, a shift table update unit and a change prompting unit;
the abnormal change reporting unit is used for receiving a reporting instruction of staff leave after the scheduling table is formulated and issued, and transmitting the reporting instruction to the business familiarity determining unit;
the business familiarity determining unit is used for analyzing the business familiarity information of the staff of the applicant and transmitting the business familiarity information to the position capability matching unit;
the job capability matching unit is used for searching staff with the same business familiarity as the staff requesting the false staff in distributed stores and showing the staff in parallel;
the scheduling table updating unit is used for updating the formulated scheduling table to obtain an updated scheduling table;
the change prompting unit is used for prompting information that the staff scheduling table changes;
the output end of the abnormal variation reporting unit is connected with the input end of the business familiarity determining unit; the output end of the business familiarity determining unit is connected with the input end of the position capability matching unit; the output end of the job capability matching unit is connected with the input ends of the scheduling table updating unit and the change prompting unit.
Further, the change processing module comprises a region mobilizing unit and an optimal time point unit;
the regional mobilizing unit is used for mobilizing staff meeting the conditions in all distributed stores to help the staff with the change in the scheduling list complete work; the meeting condition means that the distance between the store position where the mobilized staff is originally located and the store position which changes in the scheduling table is smaller than a preset distance;
the optimal time point unit is used for acquiring optimal departure time point information of staff receiving the mobilization instruction.
Further, the people number management module comprises a traffic comprehensive determination unit and a job position people number optimization unit;
the business volume comprehensive determining unit is used for acquiring different sales information and passenger flow volume information in distributed stores and transmitting the sales information to the job head number optimizing unit;
the job number optimizing unit is used for managing the number of the job positions in the store according to the passenger flow information of the store;
the output end of the traffic comprehensive determination unit is connected with the input end of the job head number optimization unit.
A human resource scheduling management method based on regional linkage comprises the following steps:
z01: acquiring store information and corresponding sales information distributed in the same place, performing scheduling management on staff of the store according to the sales information, and making a scheduling table;
z02: if the first staff leave information is received after the scheduling table is formulated, the leave time of the first staff is obtained, if the leave time of the first staff is the peak period of the passenger flow volume of the store, the familiarity of the first staff to the service is obtained, if the familiarity of the first staff to the service is greater than the preset familiarity, a second staff meeting the conditions is called from the store to help the first staff to work, and the step Z02 is skipped; if the familiarity of the first staff to the business is lower than the preset familiarity, a second staff does not need to be called from a store;
z03: acquiring the original store sales information of the second staff, and if the passenger flow entering the original store where the second staff is located is larger than or equal to the passenger flow of the store where the first staff is located, arranging the optimal departure time point of the second staff; if the passenger flow of the second staff in the original store is smaller than the passenger flow of the first staff, the second staff needs to leave after asking for the first staff;
z04: and acquiring passenger flow information and sales information in the same-place distribution store, and managing positions and position quantity in the store according to the passenger flow information and the sales information.
In the step Z02, acquiring the working time s and the working post information of the first staff in the store; acquiring the number h of clients received by a first employee in a fixed time period G and evaluation information c of the received clients on the first employee to obtain a capacity value L of the first employee, wherein L=alpha 1 *h+α 2 *c+α 3 *s；α 1 、α 2 、α 3 Refers to the capability coefficient value of the first employee, and obtains the familiarity degree of the first employee with the business, u=u 0 +β×l; beta is the familiarity coefficient value, U 0 Refers to the initial familiarity of the first worker with the business; if the familiarity difference between the familiarity of the first staff with the business and the familiarity of the second staff with the business is within a preset error difference range, and the first staff and the second staff are on the same post, the second staff can assist the first staff to work; otherwise, the second employee cannot assist the first employee in working until a qualified second employee is found.
The passenger flow volume entering the original store where the second staff is located and the passenger flow volume entering the store where the first staff is located are calculated by the following method: the passenger flow numbers of the stores where the first staff and the second staff are located in the same time period in the historical time point are obtained to be K1= {1,2,3, …, n } and K2= {1,2,3, …, n }; analyzing to obtain that the passenger flow entering the store where the first staff and the second staff are located is increased along with the increase of the time point; setting K as the passenger flow volume, i as the time point in the set time period, and setting the linear equation as k=γ+i×λ; gamma is the intercept in the linear equation and lambda is the slope in the linear equation; and calculating gamma and lambda values, and outputting a linear equation to respectively obtain the results of the passenger flow of the original store where the second staff is located and the passenger flow of the store where the first staff is located.
In step Z03, in order to ensure that the second employee does not delay the normal sales of the store where the second employee is located, the second employee is selected to satisfy the following conditions in addition to considering familiarity with the business:
P AO <P A′O ；
wherein A refers to the position coordinates of the store where the second employee is located; a' refers to the position coordinates of a store where staff meeting familiarity conditions except A is located; o refers to the position coordinates of the store where the first employee is located; p (P) AO Refers to the distance, p, between the store where the first staff and the second staff are located A′O Refers to the distance from the store where the employee satisfying the familiarity condition except a is located to the first store;
obtaining second staff and store position information of the second staff according to the conditions, wherein the passenger flow of the store of the second staff is larger than or equal to that of the store of the first staff; the optimal departure time point of the second employee is achieved by:
z031: pair functionInitializing, and calculating a function value to obtain a historical optimal position of particles and a global optimal position of a population;
z032: updating the speed and position of the particles;
z033: evaluating the fitness function value of the particles so that S is equal to the peak start time of the passenger flow volume of the store where the first worker is located, and returning to the step Z032 to continue execution if S is not equal to the peak start time of the passenger flow volume of the store where the first worker is located after the second worker arrives at the store where the first worker is located;
wherein: t is the starting time point of the peak of the passenger flow volume of the store where the second staff is located, and V is the store where the second staff is locatedPeak end time of passenger flow, T AO The time spent by the second staff from the store where the second staff is located to the store where the first staff is located is referred to as the time point of the peak passenger flow volume of the store where the first staff is located.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the departure time of the second staff from the store is optimized through the change processing module, the system obtains the optimal departure time of the second staff, so that the situation that the second staff leaves the store can not be processed, the second staff is busy when the second staff leaves the store is avoided, and the problem of peak passenger flow of the store where the first staff is located can be solved in time when the second staff arrives at the store where the first staff is ensured; the invention combines big data and machine learning, thereby being capable of timely acquiring the problem of peak passenger flow in the store where the first staff and the second staff are located, and greatly improving the working efficiency of the two stores.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the module composition of a human resources scheduling management system based on regional linkage;
fig. 2 is a schematic diagram of steps of a human resource scheduling management method based on regional linkage.
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.
Referring to fig. 1-2, the present invention provides the following technical solutions:
the human resource scheduling management system based on regional linkage comprises a scheduling people number determining module, a scheduling change updating module, a change processing module and a people number management module;
the scheduling person number determining module is used for acquiring sales data in the store and managing scheduling of staff with values in the store according to the sales information in the store;
the shift change updating module is used for acquiring first staff information causing abnormality of the shift table after the shift table is formulated, analyzing the familiarity of the first staff to the service, searching a second staff with the same service familiarity as the first staff, and updating the shift table;
the change processing module helps the first staff to complete work by calling a second staff meeting the conditions, wherein the second staff arrives at the dispatched store from the original store at the optimal departure time point, so that the second staff is ensured not to delay the gold selling time of the two stores;
the people number management module is used for acquiring sales information and passenger flow information of all stores and adjusting the number of positions in the stores according to the information;
the shift number determining module is connected with the shift change updating module; the change processing module is connected with the people number management module, and the shift change updating module is connected with the change processing module.
Further, the scheduling people number determining module comprises a sales data obtaining unit, a sales people number distribution unit and a scheduling table determining unit;
the sales data acquisition unit is used for acquiring sales data in all shops, determining sales peak time points of all shops according to the sales data, and transmitting the sales peak time points to the sales number distribution unit;
the sales number distribution unit arranges different positions and the corresponding numbers of the positions according to the sales peak time points, and transmits the arranged numbers and position data to the scheduling table determining unit;
the scheduling table determining unit makes a scheduling table according to the positions and the corresponding people number;
the output end of the sales data acquisition unit is connected with the input end of the sales number distribution unit; the output end of the sales number distribution unit is connected with the input end of the scheduling table determining unit.
Further, the shift change update module comprises an abnormal change reporting unit, a business familiarity determining unit, a job position capability matching unit, a shift table update unit and a change prompting unit;
the abnormal change reporting unit is used for receiving a reporting instruction of staff leave after the scheduling table is formulated and issued, and transmitting the reporting instruction to the business familiarity determining unit;
the business familiarity determining unit is used for analyzing the business familiarity information of the staff of the applicant and transmitting the business familiarity information to the position capability matching unit;
the job capability matching unit is used for searching staff with the same business familiarity as the staff requesting the false staff in distributed stores and showing the staff in parallel;
the scheduling table updating unit is used for updating the formulated scheduling table to obtain an updated scheduling table;
the change prompting unit is used for prompting information that the staff scheduling table changes;
the output end of the abnormal variation reporting unit is connected with the input end of the business familiarity determining unit; the output end of the business familiarity determining unit is connected with the input end of the position capability matching unit; the output end of the job capability matching unit is connected with the input ends of the scheduling table updating unit and the change prompting unit.
Further, the change processing module comprises a region mobilizing unit and an optimal time point unit;
the regional mobilizing unit is used for mobilizing staff meeting the conditions in all distributed stores to help the staff with the change in the scheduling list complete work; the meeting condition means that the distance between the store position where the mobilized staff is originally located and the store position which changes in the scheduling table is smaller than a preset distance;
the optimal time point unit is used for acquiring optimal departure time point information of staff receiving the mobilization instruction.
Further, the people number management module comprises a traffic comprehensive determination unit and a job position people number optimization unit;
the business volume comprehensive determining unit is used for acquiring different sales information and passenger flow volume information in distributed stores and transmitting the sales information to the job head number optimizing unit;
the job number optimizing unit is used for managing the number of the job positions in the store according to the passenger flow information of the store;
the output end of the traffic comprehensive determination unit is connected with the input end of the position people number optimization unit;
according to the problem of staff in a store in a peak period of passenger flow, if the problem of customers in the store still cannot be solved with the help of second staff, the problem needs to be fed back to the system, the staff can be recruited in time by a human resource department, and the staff can work in part or full time to improve the work efficiency in the store.
A human resource scheduling management method based on regional linkage comprises the following steps:
z01: acquiring store information and corresponding sales information distributed in the same place, performing scheduling management on staff of the store according to the sales information, and making a scheduling table;
z02: if the first staff leave information is received after the scheduling table is formulated, the leave time of the first staff is obtained, if the leave time of the first staff is the peak period of the passenger flow volume of the store, the familiarity of the first staff to the service is obtained, if the familiarity of the first staff to the service is greater than the preset familiarity, a second staff meeting the conditions is called from the store to help the first staff to work, and the step Z02 is skipped; if the familiarity of the first staff to the business is lower than the preset familiarity, a second staff does not need to be called from a store;
z03: acquiring the original store sales information of the second staff, and if the passenger flow entering the original store where the second staff is located is larger than or equal to the passenger flow of the store where the first staff is located, arranging the optimal departure time point of the second staff; if the passenger flow of the second staff in the original store is smaller than the passenger flow of the first staff, the second staff needs to leave after asking for the first staff;
z04: and acquiring passenger flow information and sales information in the same-place distribution store, and managing positions and position quantity in the store according to the passenger flow information and the sales information.
In the step Z02, acquiring the working time s and the working post information of the first staff in the store; acquiring the number h of clients received by a first employee in a fixed time period G and evaluation information c of the received clients on the first employee to obtain a capacity value L of the first employee, wherein L=alpha 1 *h+α 2 *c+α 3 *s；α 1 、α 2 、α 3 Refers to the capability coefficient value of the first employee, and obtains the familiarity degree of the first employee with the business, u=u 0 +β×l; beta is the familiarity coefficient value, U 0 Refers to the initial familiarity of the first worker with the business; if the familiarity difference between the familiarity of the first staff with the business and the familiarity of the second staff with the business is within a preset error difference range, and the first staff and the second staff are on the same post, the second staff can assist the first staff to work; otherwise, the second employee cannot assist the first employee in working until a qualified second employee is found;
the purpose of the calculation of the familiarity of the first employee here is to obtain the first employee's role in the store; for example, if the first employee is the employee that has just recruited, the familiarity to the business is not high, other employees in the store where the first employee is located need to guide the business problem, and for such employees to ask for help during peak traffic, the employees who call other stores need not to perform business assistance; for staff with high business familiarity, the help of staff with the same business familiarity in other stores needs to be called, so that sales and working efficiency of the whole store are improvedThe method comprises the steps of carrying out a first treatment on the surface of the The business familiarity is analyzed based on the working ability of staff in the store; u arranged 0 Is the most basic familiarity for the business after the staff knows the business; the daily sales of each store is calculated in advance by a manager and is obtained according to the capability of each staff and the sales of the past year; therefore, in the situation that the first employee has high familiarity with the business and requires no attention, the business familiarity of the second employee who helps the first employee needs to be ensured within the set range, so that the sales decrease will not be excessive.
The passenger flow volume entering the original store where the second staff is located and the passenger flow volume entering the store where the first staff is located are calculated by the following method: the passenger flow numbers of the stores where the first staff and the second staff are located in the same time period in the historical time point are obtained to be K1= {1,2,3, …, n } and K2= {1,2,3, …, n }; analyzing to obtain that the passenger flow entering the store where the first staff and the second staff are located is increased along with the increase of the time point; setting K as the passenger flow volume, i as the time point in the set time period, and setting the linear equation as k=γ+i×λ; gamma is the intercept in the linear equation and lambda is the slope in the linear equation; calculating gamma and lambda values, and outputting a linear equation to respectively obtain the passenger flow of the original store where the second staff is located and the passenger flow of the store where the first staff is located;
the relation between the passenger flow volume and the passenger flow volume peak time period is linear, and the same time period is the passenger flow volume peak time period and is irrelevant to the rest time period; therefore, a linear equation is obtained according to the linear relation, the passenger flow of the store where the first staff and the second staff are located is further obtained, and the optimal departure time of the second staff is calculated for later stage and is paved.
In step Z03, in order to ensure that the second employee does not delay the normal sales of the store where the second employee is located, the second employee is selected to satisfy the following conditions in addition to considering familiarity with the business:
P AO <P A′O ；
wherein A refers to the position coordinates of the store where the second employee is located; a' refers to the door of staff meeting familiarity conditions except APosition coordinates of the store; o refers to the position coordinates of the store where the first employee is located; p (P) AO Refers to the distance between the first store and the second store where the second staff is located, P A′O Refers to the distance from the store where the employee satisfying the familiarity condition except a is located to the first store;
obtaining second staff and store position information of the second staff according to the conditions, wherein the passenger flow of the store of the second staff is larger than or equal to that of the store of the first staff; the optimal departure time point of the second employee is achieved by:
z031: pair functionInitializing, and calculating a function value to obtain a historical optimal position of particles and a global optimal position of a population;
z032: updating the speed and position of the particles;
z033: evaluating the fitness function value of the particles so that S is equal to the peak start time of the passenger flow volume of the store where the first worker is located, and returning to the step Z032 to continue execution if S is not equal to the peak start time of the passenger flow volume of the store where the first worker is located after the second worker arrives at the store where the first worker is located;
wherein: t is the starting time point of the peak of the passenger flow volume of the store where the second staff is located, V is the ending time point of the peak of the passenger flow volume of the store where the second staff is located, T AO The time spent by the second staff from the store where the second staff is located to the store where the first staff is located is referred to as S, which is the peak time point of the passenger flow of the store where the first staff is located;
in the function ofCalculating the time period of the passenger flow peak to obtain the time period of the passenger flow peak, wherein a second staff is required to reach a store where a first staff is located in the time period of the passenger flow peak; but at the same time, when the second staff starts from the store, the second staff is not led to leave so that the problem of customers in the store cannot be solved, therefore, the second staffThe time of departure of staff from the store is extremely important, and the optimal departure time of staff is obtained through the optimization; the passenger flow of the store where the second staff is selected is larger than the passenger flow of the store where the first staff is located, and the passenger flow of the store where the second staff is selected is determined to be obtained under the condition that the rest of stores where the second staff are located are far away; corresponding to the selected store: 1. the distance between the store where the first staff is located and the store where the second staff is located is compared with the distance between the store where the first staff is located and the store where the second staff is located; 2. the business familiarity of the first employee and the second employee is the same; 3. the passenger flow volume of the store where the second staff is located is smaller than that of the store where the first staff is located; if the third condition cannot be met, the passenger flow volume of the store where the second staff is located can be selected to be larger than or equal to the passenger flow volume of the store where the first staff is located, and the optimal departure time period of the second staff needs to be calculated; when the passenger flow volume of the store where the second staff is located is smaller than that of the store where the first staff is located, the second staff can instantly start from the store where the second staff is located to the store where the first staff helps under the condition that the peak period of the passenger flow volume in the store where the second staff is located is not delayed.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A human resource scheduling management method based on regional linkage is characterized in that: the human resource scheduling management method comprises the following steps:
z01: acquiring store information and corresponding sales information distributed in the same place, performing scheduling management on staff of the store according to the sales information, and making a scheduling table;
z02: if the first staff leave information is received after the scheduling table is formulated, the leave time of the first staff is obtained, if the leave time of the first staff is the peak period of the passenger flow volume of the store, the familiarity of the first staff to the service is obtained, if the familiarity of the first staff to the service is greater than the preset familiarity, a second staff meeting the conditions is called from the store to help the first staff to work, and the step Z02 is skipped; if the familiarity of the first staff to the business is lower than the preset familiarity, a second staff does not need to be called from a store;
z03: acquiring the original store sales information of the second staff, and if the passenger flow entering the original store where the second staff is located is larger than or equal to the passenger flow of the store where the first staff is located, arranging the optimal departure time point of the second staff; if the passenger flow of the second staff in the original store is smaller than the passenger flow of the first staff, the second staff needs to leave after asking for the first staff;
z04: acquiring passenger flow information and sales information in a same-place distribution store, and managing positions and the number of positions in the store according to the passenger flow information and the sales information;
in step Z03, in order to ensure that the second employee does not delay the normal sales of the store where the second employee is located, the second employee is selected to satisfy the following conditions in addition to considering familiarity with the business:
P AO <P A'O ；
wherein A refers to the position coordinates of the store where the second employee is located; a' means in addition to APosition coordinates of stores where staff meeting familiarity conditions are located; o refers to the position coordinates of the store where the first employee is located; p (P) AO Refers to the distance between the first store and the second store where the second staff is located, P A'O Refers to the distance from the store where the employee satisfying the familiarity condition except a is located to the first store;
obtaining second staff and store position information of the second staff according to the conditions, wherein the passenger flow of the store of the second staff is larger than or equal to that of the store of the first staff; the optimal departure time point of the second employee is achieved by:
z031: pair functionInitializing, and calculating a function value to obtain a historical optimal position of particles and a global optimal position of a population;
z032: updating the speed and position of the particles;
z033: evaluating the fitness function value of the particles so that S is equal to the peak start time of the passenger flow volume of the store where the first worker is located, and returning to the step Z032 to continue execution if S is not equal to the peak start time of the passenger flow volume of the store where the first worker is located after the second worker arrives at the store where the first worker is located;
wherein: t is the starting time point of the peak of the passenger flow volume of the store where the second staff is located, V is the ending time point of the peak of the passenger flow volume of the store where the second staff is located, T AO The time spent by the second staff from the store where the second staff is located to the store where the first staff is located is referred to as the time point of the peak passenger flow volume of the store where the first staff is located.
2. The human resource scheduling management method based on regional linkage according to claim 1, wherein the human resource scheduling management method is characterized in that: in the step Z02, acquiring the working time s and the working post information of the first staff in the store; acquiring the number h of clients received by a first employee in a fixed time period G and evaluation information c of the received clients on the first employee to obtain a capacity value L of the first employee, wherein L=alpha 1 *h+α 2 *c+α 3 *s；α 1 、α 2 、α 3 Refers to the capability coefficient value of the first employee, and obtains the familiarity degree of the first employee with the business, u=u 0 +β×l; beta is the familiarity coefficient value, U 0 Refers to the initial familiarity of the first worker with the business; if the familiarity difference between the familiarity of the first staff with the business and the familiarity of the second staff with the business is within a preset error difference range, and the first staff and the second staff are on the same post, the second staff can assist the first staff to work; otherwise, the second employee cannot assist the first employee in working until a qualified second employee is found.
3. The human resource scheduling management method based on regional linkage according to claim 1, wherein the human resource scheduling management method is characterized in that: the passenger flow volume entering the original store where the second staff is located and the passenger flow volume entering the store where the first staff is located are calculated by the following method: the passenger flow numbers of the stores where the first staff and the second staff are located in the same time period in the historical time point are obtained to be K1= {1,2,3, …, n } and K2= {1,2,3, …, n }; analyzing to obtain that the passenger flow entering the store where the first staff and the second staff are located is increased along with the increase of the time point; setting K as the passenger flow volume, i as the time point in the set time period, and setting the linear equation as k=γ+i×λ; gamma is the intercept in the linear equation and lambda is the slope in the linear equation; and calculating gamma and lambda values, and outputting a linear equation to respectively obtain the results of the passenger flow of the original store where the second staff is located and the passenger flow of the store where the first staff is located.
4. A human resource scheduling management system based on regional linkage, which applies the human resource scheduling management method based on regional linkage of any one of claims 1-3, characterized in that: the human resource scheduling management system comprises a scheduling people number determining module, a scheduling change updating module, a change processing module and a people number management module;
the scheduling person number determining module is used for acquiring sales data in the store and managing scheduling of staff with values in the store according to the sales information in the store;
the shift change updating module is used for acquiring first staff information causing abnormality of the shift table after the shift table is formulated, analyzing the familiarity of the first staff to the service, searching for a second staff with the same service familiarity as the first staff, and updating the shift table;
the change processing module helps the first staff to complete work by calling a second staff meeting the conditions, wherein the second staff arrives at the dispatched store from the original store at the optimal departure time point;
the people number management module is used for acquiring sales information and passenger flow information of all stores and adjusting the number of positions in the stores according to the information;
the shift number determining module is connected with the shift change updating module; the change processing module is connected with the people number management module, and the shift change updating module is connected with the change processing module.
5. The regional linkage-based human resource scheduling management system of claim 4, wherein: the scheduling people number determining module comprises a sales data acquisition unit, a sales people number distribution unit and a scheduling table determining unit;
the sales data acquisition unit is used for acquiring sales data in all shops, determining sales peak time points of all shops according to the sales data, and transmitting the sales peak time points to the sales number distribution unit;
the sales number distribution unit arranges different positions and the corresponding numbers of the positions according to the sales peak time points, and transmits the arranged numbers and position data to the scheduling table determining unit;
the scheduling table determining unit makes a scheduling table according to the positions and the corresponding people number;
the output end of the sales data acquisition unit is connected with the input end of the sales number distribution unit; the output end of the sales number distribution unit is connected with the input end of the scheduling table determining unit.
6. The regional linkage-based human resource scheduling management system of claim 4, wherein: the shift change updating module comprises an abnormal change reporting unit, a business familiarity determining unit, a job position capability matching unit, a shift table updating unit and a change prompting unit;
the abnormal change reporting unit is used for receiving a reporting instruction of staff leave after the scheduling table is formulated and issued, and transmitting the reporting instruction to the business familiarity determining unit;
the business familiarity determining unit is used for analyzing the business familiarity information of the staff of the applicant and transmitting the business familiarity information to the position capability matching unit;
the job capability matching unit is used for searching staff with the same business familiarity as the staff requesting the false staff in distributed stores and showing the staff in parallel;
the scheduling table updating unit is used for updating the formulated scheduling table to obtain an updated scheduling table;
the change prompting unit is used for prompting information that the staff scheduling table changes;
the output end of the abnormal variation reporting unit is connected with the input end of the business familiarity determining unit; the output end of the business familiarity determining unit is connected with the input end of the position capability matching unit; the output end of the job capability matching unit is connected with the input ends of the scheduling table updating unit and the change prompting unit.
7. The regional linkage-based human resource scheduling management system of claim 4, wherein: the change processing module comprises a region mobilizing unit and an optimal time point unit;
the regional mobilizing unit is used for mobilizing staff meeting the conditions in all distributed stores to help the staff with the change in the scheduling list complete work; the meeting condition means that the distance between the store position where the mobilized staff is originally located and the store position which changes in the scheduling table is smaller than a preset distance;
the optimal time point unit is used for acquiring optimal departure time point information of staff receiving the mobilization instruction.
8. The regional linkage-based human resource scheduling management system of claim 4, wherein: the head number management module comprises a traffic comprehensive determination unit and a job head number optimization unit;
the business volume comprehensive determining unit is used for acquiring different sales information and passenger flow volume information in distributed stores and transmitting the sales information to the job head number optimizing unit;
the job number optimizing unit is used for managing the number of the job positions in the store according to the passenger flow information of the store;
the output end of the traffic comprehensive determination unit is connected with the input end of the job head number optimization unit.
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