WO2019024474A1 - 坐席人员的排班方法、装置、服务器及介质 - Google Patents
坐席人员的排班方法、装置、服务器及介质 Download PDFInfo
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- WO2019024474A1 WO2019024474A1 PCT/CN2018/074873 CN2018074873W WO2019024474A1 WO 2019024474 A1 WO2019024474 A1 WO 2019024474A1 CN 2018074873 W CN2018074873 W CN 2018074873W WO 2019024474 A1 WO2019024474 A1 WO 2019024474A1
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1097—Time management, e.g. calendars, reminders, meetings or time accounting using calendar-based scheduling for task assignment
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Definitions
- the present application belongs to the field of information processing technologies, and in particular, to a scheduling method, device, server, and medium for an agent.
- agent scheduling For managers of call centers or corporate customer service, the most troublesome thing is the scheduling problem of the agents.
- agent scheduling also has an impact on the development of the company.
- Reasonable scheduling can not only improve customer satisfaction, but also have a certain impact on the performance of agents.
- the embodiment of the present application provides a method, a device, a server, and a medium for scheduling an agent to solve the problem that the existing agent scheduling method lacks humanization factors, and is likely to cause dissatisfaction of the agent, resulting in dissatisfaction of the agent.
- a first aspect of the embodiments of the present application provides a scheduling method for an agent, including:
- the individual agents are screened to obtain a list of the people who can be arranged for each shift on the day;
- the optional agent of the unscheduled personnel in the list of the scheduled shifts of the target shift is scheduled to the target shift;
- the optional agent refers to The target shift is set as an agent of a poorly selected class, and the poorly selected class refers to a shift in which the agent desires to be less frequently scheduled;
- the unscheduled agent in the list of the scheduled shifts of the target shift is scheduled to the target shift;
- a second aspect of the embodiments of the present application provides a scheduling apparatus for an agent, including:
- a scheduling staff determination module for determining the various agents who can be scheduled for the day
- a personnel list screening module configured to screen the individual agents according to personal needs preset for each of the agent personnel on the day, and obtain a list of the rankable persons of each shift on the day;
- a target shift determination module configured to determine that one shift of the unscheduled shifts in the respective shifts is a target shift
- a first shifting module for scheduling an agent who is only in the list of arrangable persons in the target shift to the target shift
- a second scheduling module configured to: if the target shift is not full, the optional agents in the unscheduled personnel in the list of the scheduled shifts of the target shift are scheduled to the target shift;
- the optional agent refers to an agent who does not set the target shift to a poorly-selected class, and the poorly-selected class refers to a shift in which the agent desires to be less frequently scheduled;
- a third scheduling module configured to: if the target shift is not full, scheduling the unscheduled agents in the list of the scheduled shifts to the target shift;
- the shift triggering module is configured to trigger the target shift determination module until each shift of the day is full, and each of the agents is only scheduled once a day.
- a third aspect of an embodiment of the present application provides a server including a memory and a processor, the memory storing computer readable instructions executable on the processor, the processor executing the computer readable The steps of the agent's scheduling method as described in the first aspect are implemented when instructed.
- a fourth aspect of the embodiments of the present application provides a computer readable storage medium storing computer readable instructions, the computer readable instructions being executed by a processor to implement the first aspect as described in the first aspect The steps of the staff's scheduling method.
- each agent who can be scheduled for the day is determined; and then, according to the personal needs preset for each agent in the day, the agents are screened to obtain the rows of the day. a list of personnel; then, determining that one of the shifts in the respective shifts is a target shift; and arranging only the agents in the list of arrangable persons of the target shift to the target shift; if the target shift is not ranked If the number is full, the optional agent of the unscheduled agent in the list of the scheduled persons of the target shift is scheduled to the target shift; the optional agent means that the target shift is not set to For the inferior class, the inferior class refers to the class that the agent wants to be less frequently scheduled; if the target class is not full, the list of the class of the target class is not listed.
- the agent of the class is scheduled to the target shift; afterwards, returning to the step of performing the determination that the one shift of the shifts in the respective shifts is the target shift, until each day of the day Times are completely filled, each agent will shift only once in the same day.
- the individual needs of each agent's preset settings can be fully considered for scheduling, and in the shift, try to avoid scheduling the agents to the shifts that are set as poorly selected, and complete the shifts.
- the individual needs of each agent are fully considered, so that the overall result of the shift is more in line with the requirements of humanized requirements, which is conducive to improving the enthusiasm of the agents and improving the work quality and work efficiency of the agents. .
- FIG. 1 is a flow chart of an embodiment of a method for scheduling an agent in an embodiment of the present application
- FIG. 2 is a schematic flowchart of a step 101 of an agent's scheduling method in an application scenario according to an embodiment of the present application;
- FIG. 3 is a schematic flowchart of a scheduling operation of a seated person in step 103 of an agent in an application scenario
- FIG. 4 is a structural diagram of an embodiment of a dispatching device for an agent in an embodiment of the present application
- FIG. 5 is a schematic diagram of a server according to an embodiment of the present application.
- an embodiment of a method for scheduling an agent in an embodiment of the present application includes:
- Each of the agents is arranged to each shift of the day until each shift of the day is full, and each of the agents is only scheduled once a day.
- the scheduling of the day is generally divided into multiple shifts, such as early shift, middle shift, and late shift, and the shift can be divided into time slots, for example, every two hours is divided into one shift. Not limited. It can be understood that the present embodiment fully considers the individual needs of each agent before the shift, determines the list of the rankable persons of each shift, and then uses the determined list of the sortable persons when scheduling the shifts separately. Reasonable scheduling will be carried out until the shifts are completed. Under the premise of meeting the traffic indicators, the humanized needs of each agent can be met as low as possible, and the enthusiasm of the agents can be improved.
- step 101 before the shift, first determine the various seats that can be scheduled on the day of the shift. Specifically, as shown in FIG. 2, step 101 may include:
- step 203 determining whether the number of agents available on the day is greater than or equal to the sum of the number of agents required for each shift, if not, proceed to step 204, and if so, proceed to step 205;
- the existing traffic system can predict the daily traffic volume in the future, so the system can obtain the predicted traffic volume of each current shift.
- the number of seats required for each shift can be determined according to the agent manpower required for these preset traffic volumes. Generally speaking, the manpower (or work ability) provided by most of the agents is within a certain range.
- the average manpower of each agent can be taken as the manpower of each agent, and thus the required for each shift.
- Number of seats average manpower/manpower required for each shift.
- the system may collect personal information of each agent in advance, such as basic information including the gender, age, birthday, home address, and family information of the agent, and may also include: a travel plan of the agent, a family visit plan, sick leave, etc. Vacation information, physical and psychological information such as the official date of the agent and mental health status. It can be seen that the system can determine which agents are on vacation according to the information of the vacation information of the agent, the holiday and the public holiday, so as to filter out the agents who are on the day of vacation and get the agents available on the day.
- the agent available on the day mentioned here refers to the agent who can go to work that day.
- step 203 After obtaining the agent available on the day, it is necessary to determine whether the number of agents available on the day is greater than or equal to the sum of the number of agents required for each shift, that is, whether the number of agents available on the day is sufficient. . If it is insufficient, step 204 is performed to issue relevant alarm information, so that the administrator increases the number of agents available on the day; if it is sufficient, step 205 is executed to determine the available agents as the agents who can be scheduled for the day.
- step 204 if it is determined that the number of agents available on the day is insufficient, information about the shortage of agents available on the day may be sent to warn the relevant management personnel to increase the number of agents available on the day to ensure that the traffic indicators of the day can be completed.
- step 205 if it is determined that the available personnel on the day is sufficient, the agent available on the day can be determined as the various agents who can be scheduled for the day.
- each agent can set their own personal needs in advance on the system, and these individual needs reflect the humanized needs and personalized features of each agent. For example, some agents are not suitable for late shifts due to physical reasons. Some of the agents are not suitable for early shifts because the home address is far from the work place. Some of the agents are attending adult courses and need to attend classes in the evening. Evening class, and so on. These individual needs can be pre-set by the various agents themselves on the system, and can be used as the screening criteria for the agents after approval by the management personnel.
- a list of agents who can be scheduled to the shift is recorded in the list of rankable persons for each shift. Therefore, the same agent may be repeatedly recorded between the list of people in different shifts. For example, some agents can work in early and middle shifts if their personal needs are met. These agents are in the list of the early shifters and in the middle shift list.
- the various shifts include morning shift, middle shift, and night shift.
- each agent can be screened for one, two or more of the following personal needs, as follows:
- the first type screening the first agent of the various agents who exceed the preset threshold, and filtering the first agent from the list of the people who can be in the evening class. Understandably, in order to meet the needs of civilization and reflect the care of the agents, older agents can be filtered out from the list of late-time candidates, so that these older agents do not participate in the evening shift. Schedule.
- the second type screening the second agent in the pregnancy or lactation period among the various agents, and filtering the second agent from the list of the people in the evening shift. Understandably, because the agents in pregnancy or lactation need more rest and the work schedule is more regular, they are not allowed to participate in the evening shift.
- the third type screening the third agent of the day of the day among the various agents, and filtering the third agent from the list of the people who can be in the evening class. It can be understood that when a certain agent has a birthday on the day, it often needs to open a birthday party or participate in a birthday event, and the night shift time period is a normal time period of the birthday activity, so the seats of those birthdays are not allowed to participate in the evening. Class shifts.
- the fourth type screening the fourth agent who has a distance between the living place and the work place of the various agents exceeding the preset distance threshold, and filtering the fourth agent from the list of the available people in the morning shift. Understandably, early shifts often require the shifting staff to come to work at the working place earlier, which is often more demanding for those who travel farther from the place of work and work. Therefore, it is possible to prevent these agents who are living far away from participating in the early shifts, which reflects the care of this part of the staff.
- step 103 when scheduling the various agents who can be scheduled to each shift, it should be noted that each of the agents is only scheduled once a day, that is, an agent has been scheduled. In the middle class, the agent can no longer shift to early or late shifts. Therefore, it can be known that when an agent has been scheduled, his or her status in the list of people in each shift can be scheduled. For example, the agent A is at the same time in the list of the early class and the list of the middle class. During the shift, the agent A is scheduled to work in the morning shift, and the status of the staff in the early shift is “scheduled”, and the status in the list of the middle shifters is also "Scheduled.”
- the scheduling of each agent to each shift of the day may include:
- the target shift is one of the shifts;
- the first list is a list of the selectable persons of the target shift ;
- step 302 determining whether the target shift is full, and if so, ending the shift of the target shift, if not, executing step 303;
- the optional agent refers to not setting the target shift to a poorly selected class.
- Agents, the inferior class refers to the number of seats that the agent wishes to be less than scheduled;
- step 305 determining whether the target shift is full, and if so, ending the shift of the target shift, if not, executing step 305;
- the target shift is a shift that is currently scheduled for each shift, and specifically, if the shift is currently scheduled for an early shift, the early shift is the target shift; For shifts in the middle shift, the middle shift is the target shift; if the shift is currently scheduled for the night shift, the night shift is the target shift.
- the agent who is only in the list of rankable persons of the target shift is scheduled to the target shift.
- step 302 After performing step 301, it is necessary to determine whether the target shift is already full, that is, whether the number of agents who are scheduled to the target shift is sufficient, and if so, the target shift is completed, and the end is completed. The shift operation of the target shift. If no, step 303 is performed.
- the unscheduled agent in the first list refers to the agent who has not been scheduled to any shift in the list of the scheduled persons in the target shift. Since the execution of step 301, the unscheduled agent mentioned here must have at least two lists of people who can be discharged from different classes. At this time, it is necessary to consider whether these agents resist the scheduling to the target shift, that is, Whether the target shift is set to a poorly selected class.
- agent B is a young and beautiful female staff member whose residence is located in a remote area. It is always unsafe to go home after work. At this time, the agent B sets the night shift to the poorly selected class. When the system is in the shift, the agent B will not be scheduled to work in the evening when it is not necessary.
- poorly selected classes can be preset in two ways:
- the first way is: obtaining historical work feedback of the agent after the designated shift work in the historical time period; if the job satisfaction indicated by the historical work feedback is in a downward trend during the historical time period, then The designated shift is set to the inferior class of the agent.
- the second way is: obtaining the historical work efficiency of the agent in the specified shift work during the historical time period; if the historical work efficiency is decreasing in the historical time period, setting the designated shift as the The poor selection of the seats of the agents.
- the system can periodically issue questionnaires to various agents to collect opinions, or the system is set up: each agent needs to feedback the satisfaction and optimization suggestions for the day shift on the system when they get off work.
- the system can analyze the work feedback of the agent and know that the agent does not like to be dispatched to which shift. For example, you can count the historical work feedback of an agent C during the morning shift in the previous month (historical time period).
- the preferred class of the agent may be preset.
- the preferred class refers to the number of shifts that the agent wishes to be assigned to.
- the designated shift is set as the preferred class of the agent.
- the agent who has the designated shift set as the preferred shift is preferentially scheduled to the designated shift.
- the system can collect the traffic volume and work time that each agent completes every day, thereby calculating the efficiency of each agent's daily completion of the traffic, which is the work efficiency of the agent. After counting the work efficiency of each agent over a period of time, the system can analyze which shifts the agents do not like to be assigned to. For example, it is possible to count the historical work efficiency of an agent D during a late shift in the previous month (historical time period).
- the preferred class of the agent may be preset.
- the preferred class refers to the number of shifts that the agent wishes to be assigned to.
- the designated shift is set as the preferred class of the agent.
- the setting may be performed by any one of the first method or the second method, or may be set by the agent.
- the system can also set inferior or preferred classes for these agents based on the personal information of each agent. For example, for agents who are pregnant or breastfeeding, older agents, or agents who have been scheduled to work late in the last month, the system can set up late classes for these agents. Kind.
- step 304 After performing step 303, it is necessary to determine whether the target shift is already full, that is, whether the number of agents who are scheduled to the target shift is sufficient, and if so, the target shift is completed, and the end is completed. The shift operation of the target shift. If no, step 305 is performed.
- step 305 After performing step 303 fully considering the humanization requirements of the agent for the poorly selected class, if the target shift is still not full, based on the primary principle of the traffic indicator, step 305 no longer considers the inferior class.
- the problem is that the unscheduled agents in the first list are scheduled to the target shift.
- the reserve agent can be scheduled to the target shift.
- the staff of the preparation class are registered on the system. Although these seats are usually not in service, they can be notified to work at any time, and they are emergency personnel in the work of the seat.
- the various agents who can be scheduled in this embodiment can meet the scheduling requirements of each shift, and only need to call the preparation class in extremely special circumstances, such as when taking a leave of absence. Agents participate in scheduling to meet the requirements of the traffic indicators.
- the system can also allow the agent to query his or her scheduling time and shift shift in real time, and allow the different agents to freely change the shift between the two in a reasonable situation.
- Agents can also choose to work overtime or vacation time on the system. Among them, if the agent chooses to work overtime actively, after passing the audit by the management personnel, the system is equivalent to adding an agent (although it is essentially the same person, but the system is manually distinguishing the agent, that is, the same person When E is scheduled twice a day, the system can be recorded as agent E1 and agent E2). If the agent chooses to change the day, the agent is on vacation on the system, and is filtered out in the above step 202, and is not counted among the available agents on the day.
- each agent who can be scheduled for the day is determined; and then, according to the personal needs preset for each agent in the day, the agents are selected to obtain the staff of each shift on the day.
- each of the agents is scheduled to shift to the same day, until each shift of the day is full, and each of the agents is only scheduled once a day.
- the scheduling the respective agents to each shift of the day includes: scheduling the agents located only in the first list to the target shift, the target shift being one of the shifts
- the first list refers to the list of the rankable persons of the target shift; if the target shift is not full, the optional seats of the unscheduled agents in the first list are scheduled To the target shift; the optional agent refers to an agent who does not set the target shift to a poorly selected class, and the poorly selected class refers to a shift that the agent desires to be less frequently scheduled; If the target shift is not full, the unscheduled agents in the first list are scheduled to the target shift.
- the individual needs of each agent's preset settings can be fully considered for scheduling, and in the shift, try to avoid scheduling the agents to the shifts that are set as poorly selected, and complete the shifts.
- the individual needs of each agent are fully considered, so that the overall result of the shift is more in line with the requirements of humanized requirements, which is conducive to improving the enthusiasm of the agents and improving the work quality and work efficiency of the agents. .
- the above mainly describes a method of scheduling a seated person, and a description will be given below of a type of dispatching device for an agent.
- FIG. 4 is a structural diagram showing an embodiment of a scheduling apparatus for an agent in the embodiment of the present application.
- a scheduling device for an agent includes:
- the hiring staff determination module 401 is configured to determine each seat person who can be scheduled for the day;
- the personnel list screening module 402 is configured to filter the individual agents according to the personal needs preset for each of the agent personnel on the day, and obtain a list of the rankable persons of each shift on the day;
- the target shift determination module 403 is configured to determine that one shift of the unscheduled shifts in the respective shifts is a target shift
- a first shifting module 404 configured to arrange an agent who is only in the list of the rankable persons of the target shift to the target shift;
- the second shifting module 405 is configured to: if the target shift is not full, the optional agents in the unscheduled personnel in the list of the scheduled shifts of the target shift are scheduled to the target shift;
- the optional agent refers to an agent who does not set the target shift to a poorly selected class, and the poorly selected class refers to a shift that the agent desires to be less frequently scheduled;
- a third shift module 406, configured to: if the target shift is not full, scheduling the unscheduled agents in the list of the scheduled shifts to the target shift;
- the shift triggering module 407 is configured to trigger the target shift determination module until each shift of the day is full, and each of the agents is only scheduled once a day.
- the various shifts may include early shift, middle shift, and late shift;
- the personnel list screening module may include:
- a first screening filtering unit configured to filter a first agent of the plurality of agents who exceeds a preset threshold, and filter the first agent from a list of the timed persons in the evening class;
- a second screening filtering unit configured to screen a second agent in the pregnancy or lactation period among the various agents, and filter the second agent from the list of the rowable persons in the evening class;
- a third screening filtering unit configured to screen a third agent of the day of the birthday of the various agents, and filter the third agent from the list of the people in the evening class;
- a fourth screening filtering unit configured to screen a fourth agent who has a distance between the living place and the working place of the plurality of agents exceeding a preset distance threshold, and select the fourth agent from the list of the early class Filtered out.
- the rankable personnel determining module may include:
- the agent number determining unit is configured to determine the number of seats required for each shift according to the predicted traffic volume of each shift on the day;
- the vacation personnel filtering unit is used to filter out the agents who are on vacation on the day of the active staff, and obtain the seats available on the day;
- a personnel quantity determining unit configured to determine whether the number of agents available on the day is greater than or equal to the sum of the number of seats required for the respective shifts
- the person determining unit is configured to determine, if the judgment result of the number-of-persons determining unit is YES, the agent who is available on the day as each of the agents who can be scheduled for the day.
- poorly selected classes can be preset by the following modules:
- a first obtaining module configured to obtain historical work feedback of the agent after the designated shift in the historical time period
- a first setting module configured to: when the job satisfaction represented by the historical work feedback shows a downward trend in the historical time period, set the designated shift to a poorly selected class of the agent;
- a second obtaining module configured to acquire historical work efficiency of the agent during a specified shift in a historical time period
- a second setting module configured to: if the historical work efficiency has a downward trend during the historical time period, set the designated shift to a poorly selected class of the agent;
- the shift scheduling module may further include:
- a shift scheduling unit configured to: after the third shift module schedules an unscheduled agent in the list of the scheduled shifts of the target shift to the target shift, if the target shift is not full , the reserve staff is scheduled to the target shift; the reserve staff refers to the reserve personnel who are usually absent and can be notified to work at any time.
- FIG. 5 is a schematic diagram of a server according to an embodiment of the present application.
- the server 5 of this embodiment includes a processor 50 and a memory 51 in which computer readable instructions 52 executable on the processor 50 are stored, for example, executing the above-mentioned agent.
- the procedure for the scheduling method When the processor 50 executes the computer readable instructions 52, the steps in the embodiment of the scheduling method of the various agents described above are implemented, such as steps 101 to 103 shown in FIG. Alternatively, when the processor 50 executes the computer readable instructions 52, the functions of the modules/units in the above various device embodiments are implemented, such as the functions of the modules 401 to 403 shown in FIG.
- the computer readable instructions 52 may be partitioned into one or more modules/units that are stored in the memory 51 and executed by the processor 50, To complete this application.
- the one or more modules/units may be a series of computer readable instruction segments capable of performing a particular function for describing the execution of the computer readable instructions 52 in the server 5.
- the server 5 can be a computing device such as a local server or a cloud server.
- the server may include, but is not limited to, a processor 50, a memory 51. It will be understood by those skilled in the art that FIG. 5 is merely an example of the server 5 and does not constitute a limitation of the server 5, and may include more or less components than those illustrated, or combine some components, or different components, such as
- the server may also include an input and output device, a network access device, a bus, and the like.
- the processor 50 can be a central processing unit (Central Processing Unit, CPU), can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.
- the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
- the memory 51 may be an internal storage unit of the server 5, such as a hard disk or a memory of the server 5.
- the memory 51 may also be an external storage device of the server 5, such as a plug-in hard disk, a smart memory card (SMC), and a secure digital (SD) card provided on the server 5. Flash card (Flash Card) and so on.
- the memory 51 may also include both an internal storage unit of the server 5 and an external storage device.
- the memory 51 is for storing the computer readable instructions and other programs and data required by the server.
- the memory 51 can also be used to temporarily store data that has been output or is about to be output.
- each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
- the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
- a computer readable storage medium A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
- the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .
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Abstract
Description
Claims (20)
- 一种坐席人员的排班方法,其特征在于,包括:确定当天的可排班的各个坐席人员;根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单;确定所述各个班次中未排班的一个班次为目标班次;将仅位于目标班次的可排人员名单中的坐席人员排班至所述目标班次;若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员中的可选坐席人员排班至所述目标班次;所述可选坐席人员是指未将所述目标班次设为劣选班种的坐席人员,所述劣选班种是指坐席人员希望少被排班至的班次;若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次;返回执行所述确定所述各个班次中未排班的一个班次为目标班次的步骤,直至当天的各个班次均排满,每个所述坐席人员在当天仅排班一次。
- 如权利要求1所述的坐席人员的排班方法,其特征在于,所述各个班次包括早班、中班和晚班;所述根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单包括:筛选所述各个坐席人员中年龄超过预设阈值的第一坐席人员,并将所述第一坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中处于妊娠期或哺乳期的第二坐席人员,并将所述第二坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中当天生日的第三坐席人员,并将所述第三坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中居住地点与工作地点的路程超过预设路程阈值的第四坐席人员,并将所述第四坐席人员从当天早班的可排人员名单中过滤掉。
- 如权利要求1所述的坐席人员的排班方法,其特征在于,所述确定当天的可排班的各个坐席人员包括:根据当天各个班次的预测话务量确定所述各个班次所需的坐席数量;将在职的坐席人员中当天休假的坐席人员过滤掉,得到当天可用的坐席人员;判断当天可用的坐席人员的数量是否大于或等于所述各个班次所需的坐席数量的总和;若当天可用的坐席人员的数量大于或等于所述各个班次所需的坐席数量的总和,则将当天可用的坐席人员确定为当天的可排班的各个坐席人员。
- 如权利要求1所述的坐席人员的排班方法,其特征在于,劣选班种通过以下步骤预先设定:获取所述坐席人员在历史时间段内在指定班次工作后的历史工作反馈;若所述历史工作反馈所表征的工作满意度在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;或获取所述坐席人员在历史时间段内在指定班次工作时的历史工作效率;若所述历史工作效率在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;其中,所述指定班次为所述各个班次中的一个班次。
- 如权利要求1至4任一项所述的坐席人员的排班方法,其特征在于,还包括:在将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次之后,若所述目标班次未排满,则将备班坐席人员排班至所述目标班次;所述备班坐席人员是指平时不在职且可随时通知上班的后备人员。
- 一种坐席人员的排班装置,其特征在于,包括:可排班人员确定模块,用于确定当天的可排班的各个坐席人员;人员名单筛选模块,用于根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单;目标班次确定模块,用于确定所述各个班次中未排班的一个班次为目标班次;第一排班模块,用于将仅位于目标班次的可排人员名单中的坐席人员排班至所述目标班次;第二排班模块,用于若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员中的可选坐席人员排班至所述目标班次;所述可选坐席人员是指未将所述目标班次设为劣选班种的坐席人员,所述劣选班种是指坐席人员希望少被排班至的班次;第三排班模块,用于若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次;排班触发模块,用于触发所述目标班次确定模块,直至当天的各个班次均排满,每个所述坐席人员在当天仅排班一次。
- 根据权利要求6所述的坐席人员的排班装置,其特征在于,所述各个班次包括早班、中班和晚班;所述人员名单筛选模块包括:第一筛选过滤单元,用于筛选所述各个坐席人员中年龄超过预设阈值的第一坐席人员,并将所述第一坐席人员从当天晚班的可排人员名单中过滤掉;和/或第二筛选过滤单元,用于筛选所述各个坐席人员中处于妊娠期或哺乳期的第二坐席人员,并将所述第二坐席人员从当天晚班的可排人员名单中过滤掉;和/或第三筛选过滤单元,用于筛选所述各个坐席人员中当天生日的第三坐席人员,并将所述第三坐席人员从当天晚班的可排人员名单中过滤掉;和/或第四筛选过滤单元,用于筛选所述各个坐席人员中居住地点与工作地点的路程超过预设路程阈值的第四坐席人员,并将所述第四坐席人员从当天早班的可排人员名单中过滤掉。
- 根据权利要求6所述的坐席人员的排班装置,其特征在于,所述可排班人员确定模块包括:坐席数量确定单元,用于根据当天各个班次的预测话务量确定所述各个班次所需的坐席数量;休假人员过滤单元,用于将在职的坐席人员中当天休假的坐席人员过滤掉,得到当天可用的坐席人员;人员数量判断单元,用于判断当天可用的坐席人员的数量是否大于或等于所述各个班次所需的坐席数量的总和;人员确定单元,用于若所述人员数量判断单元的判断结果为是,则将当天可用的坐席人员确定为当天的可排班的各个坐席人员。
- 根据权利要求6所述的坐席人员的排班装置,其特征在于,劣选班种通过以下模块预先设定:第一获取模块,用于获取所述坐席人员在历史时间段内在指定班次工作后的历史工作反馈;第一设定模块,用于若所述历史工作反馈所表征的工作满意度在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;或第二获取模块,用于获取所述坐席人员在历史时间段内在指定班次工作时的历史工作效率;第二设定模块,用于若所述历史工作效率在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;其中,所述指定班次为所述各个班次中的一个班次。
- 根据权利要求6至9任一项所述的坐席人员的排班装置,其特征在于,所述班次排班模块还包括:备班排班单元,用于在所述第三排班模块将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次之后,若所述目标班次未排满,则将备班坐席人员排班至所述目标班次;所述备班坐席人员是指平时不在职且可随时通知上班的后备人员。
- 一种服务器,其特征在于,包括存储器以及处理器,所述存储器中存储有可在所述处理器上运行的计算机可读指令,所述处理器执行所述计算机可读指令时实现如下步骤:确定当天的可排班的各个坐席人员;根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单;确定所述各个班次中未排班的一个班次为目标班次;将仅位于目标班次的可排人员名单中的坐席人员排班至所述目标班次;若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员中的可选坐席人员排班至所述目标班次;所述可选坐席人员是指未将所述目标班次设为劣选班种的坐席人员,所述劣选班种是指坐席人员希望少被排班至的班次;若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次;返回执行所述确定所述各个班次中未排班的一个班次为目标班次的步骤,直至当天的各个班次均排满,每个所述坐席人员在当天仅排班一次。
- 根据权利要求11所述的服务器,其特征在于,所述各个班次包括早班、中班和晚班;所述根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单包括:筛选所述各个坐席人员中年龄超过预设阈值的第一坐席人员,并将所述第一坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中处于妊娠期或哺乳期的第二坐席人员,并将所述第二坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中当天生日的第三坐席人员,并将所述第三坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中居住地点与工作地点的路程超过预设路程阈值的第四坐席人员,并将所述第四坐席人员从当天早班的可排人员名单中过滤掉。
- 根据权利要求11所述的服务器,其特征在于,所述确定当天的可排班的各个坐席人员包括:根据当天各个班次的预测话务量确定所述各个班次所需的坐席数量;将在职的坐席人员中当天休假的坐席人员过滤掉,得到当天可用的坐席人员;判断当天可用的坐席人员的数量是否大于或等于所述各个班次所需的坐席数量的总和;若当天可用的坐席人员的数量大于或等于所述各个班次所需的坐席数量的总和,则将当天可用的坐席人员确定为当天的可排班的各个坐席人员。
- 根据权利要求11所述的服务器,其特征在于,劣选班种通过以下步骤预先设定:获取所述坐席人员在历史时间段内在指定班次工作后的历史工作反馈;若所述历史工作反馈所表征的工作满意度在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;或获取所述坐席人员在历史时间段内在指定班次工作时的历史工作效率;若所述历史工作效率在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;其中,所述指定班次为所述各个班次中的一个班次。
- 根据权利要求11至14任一项所述的服务器,其特征在于,所述处理器执行所述计算机可读指令时,还实现如下步骤:在将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次之后,若所述目标班次未排满,则将备班坐席人员排班至所述目标班次;所述备班坐席人员是指平时不在职且可随时通知上班的后备人员。
- 一种计算机可读存储介质,所述计算机可读存储介质存储有计算机可读指令,其特征在于,所述计算机可读指令被至少一个处理器执行时实现如下步骤:确定当天的可排班的各个坐席人员;根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单;确定所述各个班次中未排班的一个班次为目标班次;将仅位于目标班次的可排人员名单中的坐席人员排班至所述目标班次;若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员中的可选坐席人员排班至所述目标班次;所述可选坐席人员是指未将所述目标班次设为劣选班种的坐席人员,所述劣选班种是指坐席人员希望少被排班至的班次;若所述目标班次未排满,则将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次;返回执行所述确定所述各个班次中未排班的一个班次为目标班次的步骤,直至当天的各个班次均排满,每个所述坐席人员在当天仅排班一次。
- 根据权利要求16所述的计算机可读存储介质,其特征在于,所述各个班次包括早班、中班和晚班;所述根据当天针对各个所述坐席人员预先设置的个人需求对所述各个坐席人员进行筛选,得到当天各个班次的可排人员名单包括:筛选所述各个坐席人员中年龄超过预设阈值的第一坐席人员,并将所述第一坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中处于妊娠期或哺乳期的第二坐席人员,并将所述第二坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中当天生日的第三坐席人员,并将所述第三坐席人员从当天晚班的可排人员名单中过滤掉;和/或筛选所述各个坐席人员中居住地点与工作地点的路程超过预设路程阈值的第四坐席人员,并将所述第四坐席人员从当天早班的可排人员名单中过滤掉。
- 根据权利要求16所述的计算机可读存储介质,其特征在于,所述确定当天的可排班的各个坐席人员包括:根据当天各个班次的预测话务量确定所述各个班次所需的坐席数量;将在职的坐席人员中当天休假的坐席人员过滤掉,得到当天可用的坐席人员;判断当天可用的坐席人员的数量是否大于或等于所述各个班次所需的坐席数量的总和;若当天可用的坐席人员的数量大于或等于所述各个班次所需的坐席数量的总和,则将当天可用的坐席人员确定为当天的可排班的各个坐席人员。
- 根据权利要求16所述的计算机可读存储介质,其特征在于,劣选班种通过以下步骤预先设定:获取所述坐席人员在历史时间段内在指定班次工作后的历史工作反馈;若所述历史工作反馈所表征的工作满意度在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;或获取所述坐席人员在历史时间段内在指定班次工作时的历史工作效率;若所述历史工作效率在所述历史时间段内呈下降趋势,则将所述指定班次设为所述坐席人员的劣选班种;其中,所述指定班次为所述各个班次中的一个班次。
- 根据权利要求19所述的计算机可读存储介质,其特征在于,所述计算机可读指令被至少一个处理器执行时,还实现如下步骤:在将所述目标班次的可排人员名单中未排班的坐席人员排班至所述目标班次之后,若所述目标班次未排满,则将备班坐席人员排班至所述目标班次;所述备班坐席人员是指平时不在职且可随时通知上班的后备人员。
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| CN112396274A (zh) * | 2019-08-16 | 2021-02-23 | 阿里巴巴集团控股有限公司 | 任务调度方法 |
| CN114118457A (zh) * | 2021-11-01 | 2022-03-01 | 苏州热工研究院有限公司 | 一种核电厂在役检查活动管理方法及系统 |
| CN114118691A (zh) * | 2021-10-21 | 2022-03-01 | 上海浦东发展银行股份有限公司 | 基于业务量的排班方案处理方法、装置、设备和介质 |
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| CN115860405A (zh) * | 2022-12-15 | 2023-03-28 | 杉数科技(北京)有限公司 | 轨道交通的乘务排班方法、装置及设备 |
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| CN116070833A (zh) * | 2022-12-09 | 2023-05-05 | 招联消费金融有限公司 | 收运人员排班方法、装置和计算机设备 |
| CN119990689A (zh) * | 2025-04-09 | 2025-05-13 | 福建朴朴信息技术有限公司 | 一种排班方法、存储介质及电子设备 |
Families Citing this family (6)
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| CN110135680A (zh) * | 2019-04-01 | 2019-08-16 | 广州市中南民航空管通信网络科技有限公司 | 一种空中交通管制员坐席排班方法、电子设备、存储介质 |
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| CN112884433B (zh) * | 2021-02-03 | 2024-04-09 | 成都翼天航空技术服务有限公司 | 一种管制员的排班系统及方法 |
| CN113869720A (zh) * | 2021-09-27 | 2021-12-31 | 珠海市新德汇信息技术有限公司 | 人员的轮值方法、电子设备及存储介质 |
| CN114240071B (zh) * | 2021-11-25 | 2026-03-20 | 南京南瑞信息通信科技有限公司 | 一种基于人员动态承载力的应急排班装置及方法 |
| CN114202258A (zh) * | 2022-02-18 | 2022-03-18 | 四川众信佳科技发展有限公司 | 一种智能云排班方法、装置、计算机设备及存储介质 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622717A (zh) * | 2012-03-06 | 2012-08-01 | 苏州麦迪斯顿医疗科技有限公司 | 一种手术智能排班方法及系统设备 |
| CN102760253A (zh) * | 2012-06-05 | 2012-10-31 | 广东智华计算机科技有限公司 | 一种医务人员智能排班与应急方法 |
| CN106548274A (zh) * | 2016-10-19 | 2017-03-29 | 平安科技(深圳)有限公司 | 一种人员排班方法和装置 |
| CN106815720A (zh) * | 2017-01-19 | 2017-06-09 | 携程旅游信息技术(上海)有限公司 | 自动排班的全局调整系统及方法 |
| CN106952034A (zh) * | 2017-03-17 | 2017-07-14 | 携程旅游信息技术(上海)有限公司 | 利用遗传算法实现的自动排班方法及系统 |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542404A (zh) * | 2011-12-09 | 2012-07-04 | 中国南方航空股份有限公司 | 一种机组排班方法及实现该机组排班方法的系统 |
| CN103297626B (zh) * | 2013-05-20 | 2016-05-18 | 浙江远传信息技术股份有限公司 | 排班方法及装置 |
| CN104361444B (zh) * | 2014-11-05 | 2018-06-05 | 苏永静 | 一种护理排班的方法及其系统 |
| CN105574668A (zh) * | 2015-12-16 | 2016-05-11 | 山东澳迪赛企业管理咨询有限公司 | 一种基于粒子群优化算法的呼叫中心排班方法 |
-
2017
- 2017-08-01 CN CN201710646974.0A patent/CN107688925A/zh active Pending
-
2018
- 2018-01-31 WO PCT/CN2018/074873 patent/WO2019024474A1/zh not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622717A (zh) * | 2012-03-06 | 2012-08-01 | 苏州麦迪斯顿医疗科技有限公司 | 一种手术智能排班方法及系统设备 |
| CN102760253A (zh) * | 2012-06-05 | 2012-10-31 | 广东智华计算机科技有限公司 | 一种医务人员智能排班与应急方法 |
| CN106548274A (zh) * | 2016-10-19 | 2017-03-29 | 平安科技(深圳)有限公司 | 一种人员排班方法和装置 |
| CN106815720A (zh) * | 2017-01-19 | 2017-06-09 | 携程旅游信息技术(上海)有限公司 | 自动排班的全局调整系统及方法 |
| CN106952034A (zh) * | 2017-03-17 | 2017-07-14 | 携程旅游信息技术(上海)有限公司 | 利用遗传算法实现的自动排班方法及系统 |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112396274A (zh) * | 2019-08-16 | 2021-02-23 | 阿里巴巴集团控股有限公司 | 任务调度方法 |
| CN114118691A (zh) * | 2021-10-21 | 2022-03-01 | 上海浦东发展银行股份有限公司 | 基于业务量的排班方案处理方法、装置、设备和介质 |
| CN114118457A (zh) * | 2021-11-01 | 2022-03-01 | 苏州热工研究院有限公司 | 一种核电厂在役检查活动管理方法及系统 |
| CN114202305A (zh) * | 2021-12-06 | 2022-03-18 | 上海迎盾科技有限公司 | 智能化人员调动方法、装置及计算机可读存储介质 |
| CN115952972A (zh) * | 2022-12-05 | 2023-04-11 | 广东烟草江门市有限公司 | 排班方法和计算机可读存储介质 |
| CN116070833A (zh) * | 2022-12-09 | 2023-05-05 | 招联消费金融有限公司 | 收运人员排班方法、装置和计算机设备 |
| CN115860405A (zh) * | 2022-12-15 | 2023-03-28 | 杉数科技(北京)有限公司 | 轨道交通的乘务排班方法、装置及设备 |
| CN119990689A (zh) * | 2025-04-09 | 2025-05-13 | 福建朴朴信息技术有限公司 | 一种排班方法、存储介质及电子设备 |
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