CN114862020A - Method and device for implementing personnel mobilization according to busy degree of scenic spot store - Google Patents

Method and device for implementing personnel mobilization according to busy degree of scenic spot store Download PDF

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CN114862020A
CN114862020A CN202210495647.0A CN202210495647A CN114862020A CN 114862020 A CN114862020 A CN 114862020A CN 202210495647 A CN202210495647 A CN 202210495647A CN 114862020 A CN114862020 A CN 114862020A
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scheduling
store
personnel
task
scenic spot
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罗锐
王斯轶
黄杰
李倩
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Chongqing Tourism Cloud Information Technology Co ltd
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Chongqing Tourism Cloud Information Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/14Travel agencies

Abstract

The invention provides a method and a device for implementing personnel mobilization according to the busyness degree of a scenic spot store, which relate to the technical field of personnel mobilization and comprise the following steps: s1: acquiring real-time passenger flow data of a scenic spot store and the order transaction frequency in the store; s2: and calculating the busy degree of the shop, and classifying according to the preset busy degree. According to the invention, the magnitude of tourists and the busy level of the shop are calculated by real-time dynamic monitoring of the amount of tourists in the shop and the transaction amount of orders, when the magnitude exceeds a certain magnitude, the corresponding calling quantity, level and specific personnel are calculated by combining with the real-time distribution of the personnel in the scenic spot, and the dispatching and dispatching of the personnel are carried out by the task issuing module, so that the site response and support are carried out in a fast, reasonable and controllable manner, the jam of the tourists and the waiting time in the shop are reduced, the service quality of the tourists is improved, and meanwhile, the personnel not receiving the dispatching task can be recorded, so that the management personnel can manage the personnel.

Description

Method and device for implementing personnel mobilization according to busy degree of scenic spot store
Technical Field
The invention relates to the technical field of personnel mobilization, in particular to a method and a device for implementing personnel mobilization according to the busyness degree of a scenic spot store.
Background
The difference of the tourist scenic spots in light and busy seasons is obvious, the integral fluctuation of the amount of the tourists is large, and the uncertainty of the action track of the tourists in the scenic spots is large, so that the tourists have variability and randomness. Aiming at management resource allocation and management and control of shops in scenic spots, the traditional fixed allocation mode and the passive calling mode are adopted at present, when the number of tourists in the shop is increased temporarily and suddenly, reasonable dispatching of personnel and evacuation of the tourists cannot be carried out rapidly in real time, so that the tourists in the shop are gathered and blocked, the waiting time is too long, and the two-selling purchase rate and the service experience of the tourists are influenced.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a method and a device for implementing personnel mobilization according to the busyness degree of a scenic spot store.
In order to achieve the purpose, the invention adopts the following technical scheme: a method for implementing personnel mobilization according to busy degree of a scenic spot store comprises the following steps:
s1: acquiring real-time passenger flow data of a scenic spot store and the order transaction frequency in the store;
s2: calculating the busy degree of the shop, and judging whether the busy degree grade reaches above grade 0 or not according to the grade division of the preset busy degree;
s3: when the busy level reaches above the level 0, calculating the personnel scheduling requirement according to the busy degree;
s4: matching out the optimal scheduling personnel and scheduling route of the store;
s5: the method comprises the steps that a task issuing module issues a scheduling task to a matched first scheduling person, a pre-scheduling task is issued to a matched second scheduling person, when the first scheduling person receives the task and starts to execute, a task execution mode is started, when the first scheduling person arrives at a demand store, the task is manually triggered to end, and the scheduling task is completed;
s6: if the first scheduling personnel does not receive the scheduling task, the second scheduling personnel is immediately informed to execute the scheduling task, the schedulable personnel is repeatedly executed to judge, the optimal pre-scheduling personnel is continuously matched, the information of the staff who does not receive the scheduling task is recorded, when the same staff does not receive the scheduling task for multiple times in a week, the system can send the information of the staff to the manager, and the staff who does not receive the scheduling task is managed by the high-level manager.
In order to obtain the real-time passenger flow data of the scenic spot store and the order transaction frequency in the store, the improvement of the invention is that the step S1 specifically comprises obtaining the real-time passenger flow data of the scenic spot store through the intelligent video monitoring device, and obtaining the order transaction frequency in the store through the store retail system.
In order to judge the busy degree grade to acquire real-time passenger flow data of a scenic spot store and order transaction frequency in the store, the improvement of the invention is that S2 specifically performs tourist magnitude judgment through the acquired store tourist volume, performs order transaction frequency grade division through order data of a scenic spot store retail system, performs grade judgment of the scenic spot busy degree by combining the two, divides the store busy degree into 0-5 grade, and divides the level 0 into daily grade without personnel scheduling; and the 1-5 grades are busy grades from low to high, and the corresponding personnel scheduling scheme is started according to different grades and by combining the tourist grade.
In order to facilitate the selection of the subsequent dispatchers, the improvement of the invention is that the calculated dispatching requirement of the personnel in S3 includes information of personnel department, position and quantity.
In order to match the optimal scheduling personnel and scheduling route, the improvement of the invention is that in the step S4, the scheduling distance of the site staff needs to be calculated according to the real-time positioning information of the site staff in the scenic spot and by combining the GIS data of the scenic spot, the schedulable staff is judged according to the information of the magnitude of visitors and the staff position scheduling of the store, and the optimal scheduling personnel and scheduling route of the store are comprehensively matched.
In order to facilitate the staff to execute the scheduling task, the improvement of the present invention is that the scheduling task issued in S5 includes a demand store and a location, a scheduling optimal route, a task execution time, and the like.
In order to facilitate management by the administrator, the improvement of the present invention is that when the system records the worker information of the scheduling task, the reason why the scheduling task is not received needs to be recorded in S6.
An apparatus for performing a person mobilization based on how busy a store is in a scenic area, the apparatus comprising:
the system comprises a store busyness monitoring module, a store busyness monitoring module and a store retail system, wherein the store busyness monitoring module is used for acquiring real-time passenger flow data of a scenic spot store through intelligent video monitoring equipment, acquiring order transaction frequency in the store through the store retail system, and calculating busyness of the store through combination of the real-time passenger flow data and the order transaction frequency;
a real-time positioning information module: the real-time positioning and distribution information of the field workers is obtained through the PDA mobile positioning handheld terminal equipped by the field workers in the scenic region, and the real-time position information, the post scheduling information and the like of the field workers can be visually displayed based on a GIS map according to the department, the post, the scheduling and other data information of the workers configured by the background of the system;
schedulable personnel judgment module: the system is used for calculating the scheduling distance of field workers according to the real-time positioning information of the field workers in the scenic spot and by combining GIS data of the scenic spot, judging schedulable personnel according to the information of the magnitude of visitors in the store, the shift of the personnel post and the like, and matching the optimal scheduling personnel and scheduling route of the store;
a personnel scheduling task module: the scheduling system is used for issuing corresponding scheduling tasks to the matched scheduling personnel;
a recording module; the system is used for recording the information of the staff who do not receive the scheduling task and the reason for not receiving the scheduling task;
a network communication module: the system is used for connecting each module, enabling information transmission among the modules and enabling the modules to be connected and communicated with an external system.
Compared with the prior art, the invention has the advantages and positive effects that,
according to the invention, the tourist amount of the store and the order transaction amount are dynamically monitored in real time, the tourist level and the busy level of the store are calculated, when the tourist amount of the store and the order transaction amount exceed a certain level, the corresponding calling number, level and specific personnel are calculated by combining with the real-time distribution of the personnel in the scenic spot, the dispatching of the personnel is carried out through the task issuing module, the site response and support are carried out in a fast, reasonable and controllable manner, the jam of the tourist and the waiting time of the tourist in the store are reduced, the service quality of the tourist is improved, meanwhile, the personnel not receiving the dispatching task can be recorded, and the management personnel can manage the personnel.
Drawings
FIG. 1 is a flow chart of a method and apparatus for performing people mobilization based on how busy a store is in a scenic area according to the present invention;
FIG. 2 is a schematic diagram of a method and an apparatus for performing staff mobilization according to the busyness of a scenic spot store according to the present invention for calculating the busyness level of the store;
fig. 3 is a schematic diagram of the method and the device for implementing staff mobilization according to the busyness degree of the scenic spot store to determine the dispatchers.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1-3, the present invention provides a method for performing personnel mobilization according to the busyness of a store in a scenic spot, comprising the following steps:
s1: and acquiring real-time passenger flow data of the scenic spot store and the order transaction frequency in the store.
Specifically, real-time passenger flow data of a scenic spot store is obtained through intelligent video monitoring equipment, and order transaction frequency in the store is obtained through a store retail system, so that the busy degree of the store can be judged in the following.
S2: and calculating the busy degree of the shop, and judging whether the busy degree grade reaches above grade 0 according to the grade division of the preset busy degree.
Specifically, intelligent video monitoring equipment is installed at reasonable points of a scenic spot store to obtain the real-time passenger volume of a large visual field statistical area in the store, and the magnitude of the real-time passenger volume of the store is judged according to the magnitude division of the passengers, as shown in the following table:
tourist volume (human) Congestion level Description of the invention
0~10 L1 Daily level, without scheduling
11~30 L2 Low density
31~50 L3 Medium density
51~100 L4 High density
>100 L5 Evacuation level
According to the scenic spot store point location planning, the behavior characteristics of tourists in scenic spots are combined, the number of the tourists in the stores is classified, the stores in the scenic spots are supply and leisure sites (large-scale comprehensive stores in the scenic spots are not in the range of the scheme), sporadic distribution or gathering distribution is carried out along with lines of the scenic spots, and the behaviors of the tourists in the stores are temporary, random and rapid, namely, the demands of the tourists on the stores are rapid experience type services. According to the configuration of fixed post personnel in the daily store and the daily reception frequency of the store, L1(0-10) is a daily level and is the range of the amount of tourists which can be served by fixed staff in the store; l2(11-30) is low density, L3(31-50) is medium density, L4(51-100) is high density, and L2-L4 belong to the passenger volume level needing personnel scheduling support; l5 (more than 100) is evacuation level, namely the number of tourists is far beyond normal gathering density, and security personnel in scenic spots need to be dispatched for evacuation at the same time;
based on a scenic spot store retail system, the order transaction occurrence time and the transaction interval time of a store are counted, the order transaction times and the average interval time in different periods are obtained, and the order transaction frequency is graded, as shown in the following table:
Figure BDA0003619044160000061
Figure BDA0003619044160000071
according to the operation flow and the characteristics of the retail system, at least 30s is required for generating an order as fast as possible, the order is used as a dividing basis, the scenic spot transaction frequency is divided into five grades from T1 to T5 from low to high, and T1 is the daily transaction frequency and is the serviceable range of fixed staff of a shop; T2-T3 is medium grade transaction frequency; t4 is higher level transaction frequency; t5 is the transaction frequency of the super high level, T2-T5 all belong to the transaction frequency level that needs personnel to schedule and support, when the data of different time periods are taken for analysis and comparison, the busyness degree of the store is judged by taking the transaction frequency level of a longer time period as the reference, namely the priority of the transaction frequency level is 15min > 10min > 5 min;
the tourist magnitude is judged according to the obtained store tourist volume, the order transaction frequency grade is divided according to the order data of the scenic spot store retail system, the grade judgment of the scenic spot busy degree is carried out by combining the obtained store tourist volume and the obtained order data, the store busy degree is divided into 0-5 grade, and the 0 grade is a daily grade without personnel scheduling; the 1-5 grades are busy grades from low to high, and the corresponding personnel scheduling scheme is started according to different grades and by combining the tourist grade, and is shown in the following table:
Figure BDA0003619044160000072
Figure BDA0003619044160000081
s3: and when the busy level reaches above the level 0, calculating the personnel scheduling requirement according to the busy level.
Specifically, 1-2 staff members are usually allocated to each store according to the daily fixed post personnel allocation w of the scenic spot store and the daily reception frequency of the store. When in a shopAnd temporarily accumulating the passenger volume t for congestion, and scheduling personnel of corresponding departments, posts and people according to the busyness degree of the store and the passenger magnitude. According to the daily reception frequency of the store, 10 visitors are received by 1 worker, when the busy degree of the store is 1-2 and the magnitude of the visitors is less than L5, the number formula of the dispatchers is W 0 2-w; when the busy degree of the store is 3-5 and the visitor volume level is less than L5, the dispatching personnel quantity formula is W 0 (t-10)/10- (w-1). When the magnitude of the tourists reaches the evacuation level, the corresponding number of security personnel need to be scheduled for carrying out the congestion evacuation of the tourists while increasing the number of scheduling personnel for supporting. The formula of the security personnel scheduling quantity is (t-100)/50, and the personnel scheduling requirement is calculated to include personnel department, position and quantity information.
S4: and matching the optimal scheduling personnel and the optimal scheduling route of the shop.
Specifically, the scheduling distance of the field workers is calculated according to the real-time positioning information of the field workers in the scenic spot and by combining GIS data of the scenic spot, the schedulable personnel is judged according to the information of the magnitude of visitors in the store, the scheduling of the personnel posts and the like, and the optimal scheduling personnel and the scheduling route of the store are comprehensively matched;
screening and judging schedulable personnel according to information of departments, posts, scheduling and the like of field workers in the scenic spot to obtain schedulable personnel data;
and calculating the scheduling distance and time between each congestion store and each schedulable person according to the acquired schedulable person real-time position information and the location of the congestion stores, and determining the optimal scheduling route. And calculating and judging the optimal route according to the GIS walking route planning and the arrival time.
Calculating each congested store u by using Floyd algorithm n And person v with adjustable degree n The optimal distance Dis (i, j) of (2) calculates the weight of the edge between all two points from any one unilateral path, if no edge between the two points is connected, the weight is infinite, and for each pair of vertexes u n And v n Calculating whether there is a vertex w such that from u n To w to u n Is compared with u n To v directly n If the route is shorter, if w exists, the Dis (i, j) is Dis (i, k) + Dis (k, j), each congested store is taken as a source point, the flow of the Floyd algorithm steps is repeated, and the optimal route and the dispatching distance of dispatchable personnel of each congested store are calculated;
determining scheduling personnel according to the congestion level of the store, calculating the number of personnel required to be scheduled by each store, judging specific scheduling personnel, and if the same personnel simultaneously meet the scheduling requirements of 2 or more stores, performing task priority sequencing according to the congestion level of the store and the scheduling time of the personnel, wherein firstly, the priority sequencing is performed from high to low according to the busy level of the store, and 5 has the highest priority right of calling the personnel; secondly, when the busy levels of the stores are the same, comparing the visitor levels of the stores, and sorting the visitor levels from high to low according to the priority, namely L5 > L4 > L3 > L2 > L1; thirdly, when the congestion levels of the stores are the same, the scheduling time and the optimal path of the personnel are compared, the stores with short scheduling time have higher scheduling priority, and the specific personnel which can be scheduled by each store when the plurality of stores are congested simultaneously can be determined according to the priority method.
S5: and issuing a scheduling task to the matched first scheduling personnel and issuing a pre-scheduling task to the matched second scheduling personnel through the task issuing module, starting a task execution mode after the first scheduling personnel receives the task and starts executing the task, and finishing the task by manually triggering when the first scheduling personnel arrives at a demand store, so that the scheduling task is finished.
Specifically, the corresponding scheduling tasks are issued to include demand stores and positions, optimal scheduling routes, task execution time and the like, and the first scheduling personnel and the second scheduling personnel can timely inform the second scheduling personnel to execute the scheduling tasks when the first scheduling personnel fail to complete the scheduling tasks, so that a good scheduling effect is achieved.
S6: if the first scheduling personnel does not receive the scheduling task, the second scheduling personnel is immediately informed to execute the scheduling task, the schedulable personnel is repeatedly executed to judge, the optimal pre-scheduling personnel is continuously matched, the information of the staff who does not receive the scheduling task is recorded, when the same staff does not receive the scheduling task for multiple times in a week, the system can send the information of the staff to the manager, and the staff who does not receive the scheduling task is managed by the high-level manager.
Specifically, when the system records the information of the staff who do not receive the scheduling task, the reason why the scheduling task is not received needs to be recorded, so that the following managers can manage the staff who do not receive the scheduling task.
An apparatus for performing a person mobilization based on how busy a store is in a scenic area, the apparatus comprising:
the system comprises a store busyness monitoring module, a store busyness monitoring module and a store retail system, wherein the store busyness monitoring module is used for acquiring real-time passenger flow data of a scenic spot store through intelligent video monitoring equipment, acquiring order transaction frequency in the store through the store retail system, and calculating busyness of the store through combination of the real-time passenger flow data and the order transaction frequency;
a real-time positioning information module: the real-time positioning and distribution information of the field workers is obtained through the PDA mobile positioning handheld terminal equipped by the field workers in the scenic region, and the real-time position information, the post scheduling information and the like of the field workers can be visually displayed based on a GIS map according to the department, the post, the scheduling and other data information of the workers configured by the background of the system;
schedulable personnel judgment module: the system is used for calculating the scheduling distance of field workers according to the real-time positioning information of the field workers in the scenic spot and by combining GIS data of the scenic spot, judging schedulable personnel according to the information of the magnitude of visitors in the store, the shift of the personnel post and the like, and matching the optimal scheduling personnel and scheduling route of the store;
a personnel scheduling task module: the scheduling system is used for issuing corresponding scheduling tasks to the matched scheduling personnel;
a recording module; the system is used for recording the information of the staff who do not receive the scheduling task and the reason for not receiving the scheduling task;
a network communication module: the system is used for connecting each module, enabling information transmission among the modules and enabling the modules to be connected and communicated with an external system.
The working principle is as follows: the problem that temporary accumulation congestion of tourists in a shop cannot be quickly solved in the prior art is solved, the amount of the tourists in the shop can be monitored in real time through intelligent video monitoring equipment, order transaction data is obtained through a shop retail system to judge the busy degree of the shop, the dispatching requirement of personnel is judged through the class of the busy degree of the shop and the class of the tourists, the personnel can be dispatched and determined through real-time positioning of staff and an optimal dispatching path algorithm, dispatching tasks are issued and executed through a task dispatching module, the aims of quickly evacuating small-range tourists and reducing the waiting time of the tourists in the shop are achieved, meanwhile, optimization of the position location of the shop in a scenic spot can be carried out according to the busy congestion data of the shop, the overall two-sales operation condition of the scenic spot is improved, the waiting time of the tourists and the tourists in the shop is reduced, and the service quality of the tourists is improved, meanwhile, the staff who do not receive the scheduling task can be recorded, so that the manager can manage the staff.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes by using the technical contents disclosed in the above description to other fields, but any simple modification, equivalent change and change made to the above embodiments according to the technical essence of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims (8)

1. A method for implementing personnel mobilization according to busy degree of a scenic spot store is characterized by comprising the following steps:
s1: acquiring real-time passenger flow data of a scenic spot store and the order transaction frequency in the store;
s2: calculating the busy degree of the shop, and judging whether the busy degree grade reaches above grade 0 or not according to the grade division of the preset busy degree;
s3: when the busy level reaches above the level 0, calculating the personnel scheduling requirement according to the busy degree;
s4: matching out the optimal scheduling personnel and scheduling route of the store;
s5: the method comprises the steps that a task issuing module issues a scheduling task to a matched first scheduling person, a pre-scheduling task is issued to a matched second scheduling person, when the first scheduling person receives the task and starts to execute, a task execution mode is started, when the first scheduling person arrives at a demand store, the task is manually triggered to end, and the scheduling task is completed;
s6: if the first scheduling personnel does not receive the scheduling task, the second scheduling personnel is immediately informed to execute the scheduling task, the schedulable personnel is repeatedly executed to judge, the optimal pre-scheduling personnel is continuously matched, the information of the staff who does not receive the scheduling task is recorded, when the same staff does not receive the scheduling task for multiple times in a week, the system can send the information of the staff to the manager, and the staff who does not receive the scheduling task is managed by the high-level manager.
2. The method of claim 1, wherein the method comprises the following steps: the step S1 is specifically to acquire real-time passenger flow data of a scenic spot store through an intelligent video monitoring device, and acquire an order transaction frequency in the store through a store retail system.
3. The method of claim 1, wherein the method comprises the following steps: the step S2 is specifically that the magnitude of tourists is judged through the obtained amount of tourists in the store, the order transaction frequency grade is divided through the order data of the retail system of the scenic spot store, the grade judgment of the busy degree of the scenic spot is carried out by combining the obtained amount of tourists in the store and the obtained data of the retail system of the scenic spot store, the busy degree of the store is divided into 0-5 grade, the 0 grade is a daily grade, and no personnel scheduling is needed; and the 1-5 grades are busy grades from low to high, and the corresponding personnel scheduling scheme is started according to different grades and by combining the tourist grade.
4. The method of claim 1, wherein the method comprises the following steps: the personnel scheduling requirement calculated in the step S3 comprises personnel department, position and quantity information.
5. The method of claim 1, wherein the method comprises the following steps: in the step S4, the scheduling distance of the site staff needs to be calculated according to the real-time positioning information of the site staff in the scenic spot and by combining the GIS data of the scenic spot, the schedulable staff is judged according to the information of the magnitude of visitors in the store, the shift arrangement of the staff posts and the like, and the optimal scheduling staff and the scheduling route of the store are comprehensively matched.
6. The method of claim 1, wherein the method comprises the following steps: the corresponding scheduling tasks issued in S5 include demand stores and locations, scheduling optimal routes, task execution time, and the like.
7. The method of claim 1, wherein the method comprises the following steps: and when the system records the information of the staff who do not receive the scheduling task in the S6, the reason why the scheduling task is not received needs to be recorded.
8. An apparatus for performing a person mobilization based on how busy a store is in a scenic area, the apparatus comprising:
the system comprises a store busyness monitoring module, a store busyness monitoring module and a store retail system, wherein the store busyness monitoring module is used for acquiring real-time passenger flow data of a scenic spot store through intelligent video monitoring equipment, acquiring order transaction frequency in the store through the store retail system, and calculating busyness of the store through combination of the real-time passenger flow data and the order transaction frequency;
a real-time positioning information module: the real-time positioning and distribution information of the field workers is obtained through the PDA mobile positioning handheld terminal equipped by the field workers in the scenic region, and the real-time position information, the post scheduling information and the like of the field workers can be visually displayed based on a GIS map according to the department, the post, the scheduling and other data information of the workers configured by the background of the system;
schedulable personnel judgment module: the system is used for calculating the scheduling distance of field workers according to the real-time positioning information of the field workers in the scenic spot and by combining GIS data of the scenic spot, judging schedulable personnel according to the information of the magnitude of visitors in the store, the shift of the personnel post and the like, and matching the optimal scheduling personnel and scheduling route of the store;
a personnel scheduling task module: the scheduling system is used for issuing corresponding scheduling tasks to the matched scheduling personnel;
a recording module; the system is used for recording the information of the staff who do not receive the scheduling task and the reason for not receiving the scheduling task;
a network communication module: the system is used for connecting each module, enabling information transmission among the modules and enabling each module to be connected and communicated with an external system.
CN202210495647.0A 2022-04-24 2022-04-24 Method and device for implementing personnel mobilization according to busy degree of scenic spot store Pending CN114862020A (en)

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Application publication date: 20220805