CN109064365A - It is a kind of for determining the method and device of service hall service window quantity - Google Patents
It is a kind of for determining the method and device of service hall service window quantity Download PDFInfo
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Abstract
The present invention is suitable for computer statistics analysis technical field, provides a kind of for determining the method and device of service hall service window quantity, comprising: obtains first client's sum R that service hall is reached in preset time T1, second client's sum R for being serviced in the summation S of each service window the summation S of service time and each service window in the preset time T2；Obtain the window expense C that the service window is opened up in a unit times, a client a unit time failure costs CwWith the range L for determining the service window number of optimal service window number C；Based on the preset time T, the first client sum R1, the second client sum R2, the summation S, the window expense Cs, the failure costs CwWith the range L, the optimal service window number C is calculated.The scheme enables to the setting of service window quantity that can preferably be adapted with actual demand.
Description
Technical field
The invention belongs to computer statistics analysis technical fields, more particularly to one kind is for determining service hall service window
The method and device of quantity.
Background technique
In the prior art, when removing departments' transacting business such as bank, government, it usually needs taken at queue machine first
Number, it is waited after the number of taking in Accreditation Waiting Area, then when staff calls this number, then removes corresponding sales counter transacting business.
Existing service organization be all to the setting of service window it is subjective, fixed, i.e., the service organization start for
After client provides counter service, the quantity of service window will not be altered substantially, even if to be altered and service organization
After staff rule of thumb judges the number for needing to service, service window quantity is modified.Above-mentioned service window is set
It is more inflexible to set method, also not objective enough, scientific, the problem of may cause, is, if the people of transacting business is more, client
Longer time may be waited, customer experience is poor；And if the people of transacting business is less, it can be arranged due to window
It is more, waste more human cost.
It can be seen that in the prior art can not be very in such a way that preset service window number is come for offering customers service
Good is adapted with actual demand.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of for determining the method and dress of service hall service window quantity
It sets, to solve in the prior art, the setting of the service window quantity in service hall cannot be adapted with actual demand well
The problem of.
The first aspect of the embodiment of the present invention provides a kind of method for determining service hall service window quantity, packet
It includes: obtaining the first client's sum R for reaching service hall in preset time T1, each service window is in the preset time T
Second client's sum R that the summation S of interior service time and each service window service in the summation S2；Obtain one
The window expense C of the service window is opened up in unit times, a client a unit time financial loss
Use CwWith the range L for determining the service window number of optimal service window number C；Based on the preset time T, first visitor
Family sum R1, the second client sum R2, the summation S, the window expense Cs, the failure costs CwWith the range
L calculates the optimal service window number C.
The second aspect of the embodiment of the present invention provide it is a kind of for determining the device of server lobby Service number of windows,
It include: the first acquisition module, for obtaining the first client's sum R for reaching service hall in preset time T1, each service
The summation S of service time and each service window service window in the summation S in the preset time T second
Client's sum R2；Second obtains module, for obtaining the window expense for opening up the service window in a unit time
Cs, a client a unit time failure costs CwWith for determining the service window number of optimal service window number C
Range L；Computing module, for being based on the preset time T, the first client sum R1, the second client sum R2、
The summation S, the window expense Cs, the waiting cost CwWith the range L, the optimal service window number C is calculated.
The third aspect of the embodiment of the present invention provides a kind of equipment for determining server lobby Service number of windows,
Including memory, processor and the computer program that can be run in the memory and on the processor is stored,
It is characterized in that, the step of processor realizes first aspect the method as above when executing the computer program.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, which is characterized in that the computer program realizes first aspect as above when being executed by processor
The step of the method.
Existing beneficial effect is the embodiment of the present invention compared with prior art:
The embodiment of the invention provides a kind of for determining the method and device of service hall service window quantity, obtains first
Take first client's sum R that service hall is reached in preset time T1, each service window services in the preset time T
Second client's sum R that the summation S of time and each service window service in the summation S2；And obtain a unit
The window expense C of the service window is opened up in times, a client a unit time failure costs Cw
With the range L for determining the service window number of optimal service window number C；The content of above-mentioned acquisition is then based on, described in calculating
Optimal service window number C.Since to be that the objective data based on acquisition is calculated optimal for method provided in an embodiment of the present invention
Service window number, accordingly, with respect to the method by subjective micro-judgment to obtain optimal service window number, more objective,
Science；Simultaneously as method provided in an embodiment of the present invention is based on the preset time T, the first client sum R1, institute
State second client's sum R2, the summation S, the window expense Cs, the waiting cost CwIt is obtained with the range L, so
It can obtain the optimal service window number more adapted to actual demand.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 shows a kind of for determining the method for service hall service window quantity of the offer of the embodiment of the present invention one
Flow diagram；
Fig. 2 shows the implementation process schematic diagrames for the step S103 that the embodiment of the present invention one provides；
Fig. 3 shows provided by Embodiment 2 of the present invention a kind of for determining the device of service hall service window quantity
Structural schematic diagram；
Fig. 4 shows a kind of schematic diagram of equipment of the offer of the embodiment of the present invention three.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be understood that specific embodiment described herein is only used to explain this hair
It is bright, it is not intended to limit the present invention.
Embodiment one
The embodiment of the invention provides a kind of method of determining service hall service window quantity, this method specifically:
Obtain first client's sum R that service hall is reached in preset time T1, each service window is described default
Second client's sum R that the summation S of service time and each service window service in the summation S in time T2；It obtains
Take the window expense C that the service window is opened up in a unit times, a client be in unit time
Failure costs CwWith the range L for determining the service window number of optimal service window number C；Based on the preset time T, described
First client's sum R1, the second client sum R2, the summation S, the window expense Cs, the failure costs CwAnd institute
Range L is stated, the optimal service window number C is calculated.
The above method enables to the setting of service window quantity that can preferably be adapted with actual demand.
Specifically, Fig. 1 shows the side for being used to determine service hall service window quantity of the offer of the embodiment of the present invention one
The implementation process of method.The executing subject of the method for determining service hall service window quantity in the present embodiment is with reality
Equipment described in the existing embodiment of the present invention for determining the method for service hall service window quantity, the equipment may include but
It is not limited to queue machine.Details are as follows:
S101, first client's sum R that service hall is reached in preset time T is obtained1, each service window is described
The second client sum that the summation S of service time and each service window service in the summation S in preset time T
R2。
In embodiments of the present invention, the preset time T is one day work hours of staff of service window.Example
Such as, it is assumed that the work hours of the staff of service window are as follows: 9:00~12:00,14:30~17:30, then can determine pre-
If time T is equal to 6 hours.
Optionally, the preset time T is work hours of the staff in preset number of days of service window.For example, false
If preset number of days is 5 days, and one day work hours of staff of service window are 6 hours, then when can determine default
Between T be equal to 30 hours.
When work hours of the staff in preset number of days that the preset time T is service window, due to getting
More days data, therefore, what also the data based on more days were calculated for optimal service window number.Compared to based on one day
The optimal service window number that data are calculated, the optimal service window number being calculated based on more days data is due to combining
More days data, obtained calculated result will be more accurate, reasonable.
The first client sum R1, to reach service hall in the preset time T and passing through the queue machine number of taking
Client.Wherein, the queue machine, to be widely used in army, government, finance, hospital, postal service, communication, industry and commerce, the tax, guarantor
The multiple fields such as danger, traffic, for providing the equipment of queue number for client.
The service window is in service hall, is the window of offering customers service.Service window includes necessary service
Facility, such as computer, tables and chairs etc. further include the staff for offering customers service.
The summation S of each service window service time in the preset time T is each service window default
The summation of service time in time T.For example, it is assumed that a certain a total of 6 service windows of service hall, the work people of window 1~6
Member is respectively that 6 hours, 5.5 hours, 6.5 hours, 6.2 hours, 6.3 hours and 5.5 are small the service time in preset time T
When, it is possible to which the summation S for service time that each service window is calculated in preset time T, is 36 hours.
The second client number R2, for the sum for the client that each service window services within its respective service time.
For example, it is assumed that a certain a total of 6 service windows of service hall, the staff of window 1~6 is within its respective service time
The client of service is respectively 30 people, 40 people, 35 people, 45 people, 50 people and 40 people, it is possible to which each service is calculated
The sum for the client that window services within its respective service time, i.e., the described second client number R2 are 240 people.
S102, the window expense C that the service window is opened up in a unit time is obtaineds, a client be one
The failure costs C of a unit timewWith the range L for determining the service window number of optimal service window number C.
The window expense Cs, including opening up the goods and materials expense and manpower that a service window needs in a unit time
Expense.Wherein, the calculation method of the manpower expense are as follows: the wage in staff January/work in January number of days/mono- day working
Duration.For example, it is assumed that one monthly salary of staff of service window is 6000, the number of days that works January is 30 days, working in one day
Shi Changwei 8 hours, it is possible to obtain manpower expense be 25 yuan/when.
The failure costs Cw, it is expense of the client in a unit time internal loss.The failure costs Cw
Calculation method are as follows: the working duration of one monthly salary of client/January work number of days/mono- day.For example, it is assumed that one monthly salary of client is
6000, the number of days that works January is 30 days, and when working in one day is 8 hours a length of, it is possible to obtain failure costs CwFor 25 yuan/
When.
As a kind of embodiment of the invention, calculated for the ease of statistics, the failure costs CwStaff January
Wage item, the average monthly salary of the city Qu Gai or the province；Working day in January is several, the work of the average moon of the city Qu Gai or the province
Number of days；The working duration of average one day of advantage when working in one day, the city Qu Gai or the province.
The optimal service window number, for the service window number to be placed being adapted with actual demand.By being arranged most
The window of excellent service window number can make human and material resources expenses minimum, while client will not wait the long period.
The range L of the service window number is a value range.For example, set the range L of service window number to [6,
10], or it is set as [3,7].It should be noted that the optimal service window number C being finally calculated is one in the range L
A value.
S103, the preset time T, the first client sum R are based on1, the second client sum R2, the summation
S, the window expense Cs, the waiting cost CwWith the range L, the optimal service window number C is calculated.
Above scheme obtains first client's sum R that service hall is reached in preset time T first1, each service window
Mouth the second visitor that the summation S of service time and each service window service in the summation S in the preset time T
Family sum R2；And obtain the window expense C that the service window is opened up in a unit times, a client be in an institute
State the failure costs C of unit timewWith the range L for determining the service window number of optimal service window number C；It is then based on
The content for stating acquisition calculates the optimal service window number C.Since method provided in an embodiment of the present invention is the visitor based on acquisition
The optimal service window number that data are calculated is seen, accordingly, with respect to the micro-judgment by subjectivity to obtain optimal service window
The method of mouth number, it is more objective, scientific；Simultaneously as method provided in an embodiment of the present invention be based on the preset time T,
The first client sum R1, the second client sum R2, the summation S, the window expense Cs, the waiting cost Cw
It is obtained with the range L, so the optimal service window number more adapted to actual demand can be obtained.
As a kind of preferred embodiment of the invention, step S103: described to be based on the preset time T, described first
Client's sum R1, the second client sum R2, the summation S, the window expense Cs, the failure costs CwWith the model
L is enclosed, the optimal service window number C is calculated, comprising:
S1031, the preset time T and the first client sum R are based on1, calculate within a unit time
Reach first client's number λ=R of the service hall1/T；Based on the second client sum R2With the summation S, one is calculated
Second client's number μ=R that the service window services within a unit time2/S。
For example, it is assumed that preset time T, first client's sum R1, second client's sum R2Be respectively as follows: 6 with summation S, 120,
120 and 12, then λ=20 are calculated；μ=10.
S1032, the first client number λ, the second client number μ, the window expense C are based onsWith the financial loss
Use Cw, expense Y needed for calculating opens up the m service windows within a unit time1(m) and in service hall
In total client's number a unit time internal loss expense Y2(m) summation Y (m).
Specifically, Y (m)=Y1(m)+Y2(m), wherein Y1(m)=CsM, Y2(m)=CwDw；
Wherein, m is a value in the range L；DwIt is the queuing client's number being lined up within a unit time
By the sum by services client number of service window services；DsIt is the queuing client being lined up within a unit time
Sum；Dw=Ds+ by service window services by services client number；P0It is that no client comes service hall requirement clothes
The probability of business；ρ is service intensity when m service window is arranged.
S1033, it is based on the Y (m) and the range L, determines the optimal service window number C.
As a kind of preferred embodiment of the present invention, it is based on the Y (m) and the range L described in step S1033, is determined
The optimal service window number C, comprising: the smallest m of value for making function Y (m) in the range L is determined as the optimal service
Window number C.
For example, it is assumed that range L be [2,5], i.e. m ∈ [2,5], Y (2)=52000, Y (3)=50000, Y (4)=51000,
Y (5)=51400, it is seen then that make the smallest m 3 of the value of function Y (m), therefore, set optimal service window number C in range L
3。
In order to become apparent from the entire data trend for illustrating the embodiment of the present invention, it is assumed that preset time T was 6 hours, at 6 hours
The first client's sum R1 inside reached is 1033 people, and each service window summation S of service time in the preset time T is
122.53 hours, second client's sum R that each service window services in the summation S2For 1033 people, it is calculated
First client's number λ=172.17 people/hour, second client's number μ=8.43 people/hour, other data (following table as follows
In, 1E-10=10(-10), 1E-9=10(-9))。
| m | ρ | P0 | Ds | Dw | Y(m) |
| 21 | 0.972547 | 3.39265E-10 | 30.37 | 50.79 | 4018.32 |
| 22 | 0.928340 | 7.8378E-10 | 8.38 | 28.81 | 2843.69 |
| 23 | 0.887978 | 1.02211E-10 | 3.80 | 24.22 | 2643.10 |
| 24 | 0.850979 | 1.1602E-9 | 1.99 | 22.41 | 2597.64 |
| 25 | 0.816940 | 1.2405E-9 | 1.10 | 21.53 | 2604.18 |
| 26 | 0.785519 | 1.28717E-9 | 0.63 | 21.05 | 2633.62 |
It can be seen that the smallest m 24 of the value of function Y (m) is made therefore most will to have service window number to be set as 24.
It is preferably based on the Y (m) and the range L, selecting technique of marginal analysis to ask makes Y (m) functional minimum value, will
The minimum value is determined as the optimal service window number C.Wherein, the technique of marginal analysis is a kind of method minimized,
It include: Y (m)≤Y (m-1)；And Y (m)≤Y (m+1), being acquired with this makes the smallest m of the value of function Y (m), and determines it as
The optimal service window number.
Specifically, by Y (m)=Y1(m)+Y2(m) Y (m)≤Y (m-1) is substituted into；And Y (m)≤Y (m+1), it obtains:
After arrangement, show that optimal number of units C should meet following inequality:
As a kind of optional embodiment of the invention, it is based on the Y (m) and the range L described in step S1033, really
The fixed optimal service window number C, comprising:
Based on the Y (m) and the range L, the optimal service window number C is determined, to make function Y in the range L
(m) the smallest m of value and preset value and/or poor.For example, it is assumed that range L is [2,6], i.e. m ∈ [2,5], Y (2)=52000, Y
(3)=50000, Y (4)=51000, Y (5)=51400, Y (6)=51020, it is seen then that make the value of function Y (m) minimum in range L
M be 3, further, therefore preset value 1 sets 4 or 2 for optimal service window number C.Wherein, the preset value can
Be service window staff based on actual conditions subjective judgement obtain for correcting a value of m.
Herein, making the smallest m of the value of function Y (m) and preset value and/or poor by the way that preset value is arranged, and acquires, make
Finally obtained optimal service window number C combines customer data and obtains with subjective experience, in some cases, pass through
The optimal service window number C that such mode obtains can be preferably adapted with actual demand.
As a kind of optional embodiment of the invention, it is based on the Y (m) and the range L described in step S1033, really
The fixed optimal service window number C, comprising:
Calculate WsAnd Wq, wherein WsIt is flat by the first of the completion consumption of service window services from starting to queue to for a client
The equal time；WqIt is a client from starting to queue to the second average time for being lined up and terminating to wait, and Ws=Wq+Wr, WrIt is one
Client is by the average time of service window services；Based on the Y (m), the WsWith the Wq, determine the optimal service window
Number C.
In the embodiment of the present invention,
Embodiment two
Fig. 2 shows provided by Embodiment 2 of the present invention a kind of for determining the device of service hall service window quantity
100, comprising:
First obtains module 110, for obtaining the first client's sum R for reaching service hall in preset time T1, it is each
A service window the summation S of service time and each service window in the preset time T service in the summation S
Second client's sum R2；
Second obtains module 120, for obtaining the window expense for opening up the service window in a unit time
Cs, a client wait the waiting cost C of a unit timewWith for determining the service window of optimal service window number C
Several range Ls；
Computing module 130, for being based on the preset time T, the first client sum R1, second client sum
R2, the summation S, the window expense Cs, the waiting cost CwWith the range L, the optimal service window number C is calculated.
Above-mentioned apparatus obtains first client's sum R that service hall is reached in preset time T first1, each service window
Mouth the second visitor that the summation S of service time and each service window service in the summation S in the preset time T
Family sum R2；And obtain the window expense C that the service window is opened up in a unit times, a client be in an institute
State the failure costs C of unit timewWith the range L for determining the service window number of optimal service window number C；It is then based on
The content for stating acquisition calculates the optimal service window number C.Since method provided in an embodiment of the present invention is the visitor based on acquisition
The optimal service window number that data are calculated is seen, accordingly, with respect to the micro-judgment by subjectivity to obtain optimal service window
The method of mouth number, it is more objective, scientific；Simultaneously as method provided in an embodiment of the present invention be based on the preset time T,
The first client sum R1, the second client sum R2, the summation S, the window expense Cs, the waiting cost Cw
It is obtained with the range L, so the optimal service window number more adapted to actual demand can be obtained.
In embodiments of the present invention, the computing unit 130 includes:
First computation subunit is calculated for being based on the preset time T and the first client sum R1 in an institute
State first client's number λ=R that the service hall is reached in the unit time1/T；Based on the second client sum R2With it is described total
And S, calculate second client's number μ=R that a service window services within a unit time2/S；
Second computation subunit, for being based on the first client number λ, the second client number μ, the window expense Cs
With the failure costs Cw, expense Y needed for calculating opens up the m service windows within a unit time1(m) and
The expense Y of total client's number in service hall in a unit time internal loss2(m) summation Y (m)；
Determination unit, for determining the optimal service window number C based on the Y (m) and the range L.
In embodiments of the present invention, the determination unit includes:
Minimum determination unit, for the smallest m of value of function Y (m) will to be made to be determined as the optimal service in the range L
Window number C.
In embodiments of the present invention, the determination unit further include:
Time determination unit, for calculating WsAnd Wq, wherein WsIt is taken by service window for a client from starting to queue to
The first average time of consumption is completed in business；WqTerminate the second average time of consumption from starting to queue to be lined up for a client,
And Ws=Wq+Wr, WrIt is a client by the average time of service window services；Based on the Y (m), the WsWith the Wq, really
The fixed optimal service window number C.
It should be noted that the embodiment of the present invention two propose for determine the device of service hall service window quantity with
The method for determining service hall service window quantity that embodiment of the present invention method proposes is based on identical inventive concept, dress
Setting embodiment and the relevant art content in embodiment of the method can be applicable in mutually, and and will not be described here in detail.
Embodiment three
Fig. 3 is a kind of schematic diagram for equipment 200 that the embodiment of the present invention three provides.In the present embodiment as shown in Figure 3
Equipment 200 may include: processor 210, memory 220 and be stored in memory 220 and can run on processor 210
Computer program 230.Processor 210 realizes the step in above method embodiment one when executing computer program 230.Storage
For device 220 for storing computer program, the computer program includes program instruction.Processor 210 is for executing memory 220
The program instruction of storage.Wherein, processor 210 is configured for that described program instruction execution or less is called to operate:
Obtain first client's sum R that service hall is reached in preset time T1, each service window is described default
Second client's sum R that the summation S of service time and each service window service in the summation S in time T2；
Obtain the window expense C that the service window is opened up in a unit times, a client be described in one
The failure costs C of unit timewWith the range L for determining the service window number of optimal service window number C；
Based on the preset time T, the first client sum R1, the second client sum R2, it is the summation S, described
Window expense Cs, the failure costs CwWith the range L, the optimal service window number C is calculated.
Above equipment obtains first client's sum R that service hall is reached in preset time T first1, each service window
Mouth the second visitor that the summation S of service time and each service window service in the summation S in the preset time T
Family sum R2；And obtain the window expense C that the service window is opened up in a unit times, a client be in an institute
State the failure costs C of unit timewWith the range L for determining the service window number of optimal service window number C；It is then based on
The content for stating acquisition calculates the optimal service window number C.Since method provided in an embodiment of the present invention is the visitor based on acquisition
The optimal service window number that data are calculated is seen, accordingly, with respect to the micro-judgment by subjectivity to obtain optimal service window
The method of mouth number, it is more objective, scientific；Simultaneously as method provided in an embodiment of the present invention be based on the preset time T,
The first client sum R1, the second client sum R2, the summation S, the window expense Cs, the waiting cost Cw
It is obtained with the range L, so the optimal service window number more adapted to actual demand can be obtained.
Further, processor 210 is also used to:
Based on the preset time T and the first client sum R1, calculate and reach institute within a unit time
State first client's number λ=R of service hall1/T；Based on the second client sum R2With the summation S, the clothes are calculated
Second client's number μ=R that business window services within a unit time2/S；
Based on the first client number λ, the second client number μ, the window expense CsWith the failure costs Cw, meter
Expense Y needed for calculation opens up the m service windows within a unit time1(m) total and in service hall
Client's number a unit time internal loss expense Y2(m) summation Y (m)；
Based on the Y (m) and the range L, the optimal service window number C is determined.
Further, processor 210 is also used to:
The smallest m of value for making function Y (m) in the range L is determined as the optimal service window number C.
Further, processor 210 is also used to:
Calculate WsAnd Wq, wherein WsIt is flat by the first of the completion consumption of service window services from starting to queue to for a client
The equal time；WqTerminate the second average time of consumption from starting to queue to be lined up for a client, and Ws=Wq+Wr, WrIt is one
Client is by the average time of service window services；
Based on the Y (m), the WsWith the Wq, determine the optimal service window number C.
It should be appreciated that in embodiments of the present invention, alleged processor 210 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
The memory 220 may include read-only memory and random access memory, and to processor 210 provide instruction and
Data.The a part of of memory 220 can also include nonvolatile RAM.For example, memory 220 can also be deposited
Store up the information of device type.
In embodiments of the present invention, the equipment 200 can include but is not limited to queue machine.
It should be noted that the equipment that the embodiment of the present invention three proposes is used to determine with what embodiment of the present invention method proposed
The method of service hall service window quantity is based on identical inventive concept, apparatus embodiments and the corresponding skill in embodiment of the method
Art content can be applicable in mutually, and and will not be described here in detail.
Example IV
A kind of computer readable storage medium, the computer readable storage medium are provided in the embodiment of the present invention four
It is stored with computer program, the computer program includes program instruction, and described program instructs realization when being executed by processor:
Obtain first client's sum R that service hall is reached in preset time T1, each service window is described default
Second client's sum R that the summation S of service time and each service window service in the summation S in time T2；
Obtain the window expense C that the service window is opened up in a unit times, a client be described in one
The failure costs C of unit timewWith the range L for determining the service window number of optimal service window number C；
Based on the preset time T, the first client sum R1, the second client sum R2, it is the summation S, described
Window expense Cs, the failure costs CwWith the range L, the optimal service window number C is calculated.
Above scheme obtains first client's sum R that service hall is reached in preset time T first1, each service window
Mouth the second visitor that the summation S of service time and each service window service in the summation S in the preset time T
Family sum R2；And obtain the window expense C that the service window is opened up in a unit times, a client be in an institute
State the failure costs C of unit timewWith the range L for determining the service window number of optimal service window number C；It is then based on
The content for stating acquisition calculates the optimal service window number C.Since method provided in an embodiment of the present invention is the visitor based on acquisition
The optimal service window number that data are calculated is seen, accordingly, with respect to the micro-judgment by subjectivity to obtain optimal service window
The method of mouth number, it is more objective, scientific；Simultaneously as method provided in an embodiment of the present invention be based on the preset time T,
The first client sum R1, the second client sum R2, the summation S, the window expense Cs, the waiting cost Cw
It is obtained with the range L, so the optimal service window number more adapted to actual demand can be obtained.
Further, it is also realized when the computer program is executed by processor:
Based on the preset time T and the first client sum R1, calculate and reach institute within a unit time
State first client's number λ=R of service hall1/T；Based on the second client sum R2With the summation S, the clothes are calculated
Second client's number μ=R that business window services within a unit time2/S；
Based on the first client number λ, the second client number μ, the window expense CsWith the failure costs Cw, meter
Expense Y needed for calculation opens up the m service windows within a unit time1(m) total and in service hall
Client's number a unit time internal loss expense Y2(m) summation Y (m)；
Based on the Y (m) and the range L, the optimal service window number C is determined.
Further, it is also realized when the computer program is executed by processor:
The smallest m of value for making function Y (m) in the range L is determined as the optimal service window number C.
Further, it is also realized when the computer program is executed by processor:
Calculate WsAnd Wq, wherein WsIt is flat by the first of the completion consumption of service window services from starting to queue to for a client
The equal time；WqTerminate the second average time of consumption from starting to queue to be lined up for a client, and Ws=Wq+Wr, WrIt is one
Client is by the average time of service window services；
Based on the Y (m), the WsWith the Wq, determine the optimal service window number C.
The computer readable storage medium can be the internal storage unit of equipment described in aforementioned any embodiment, example
Such as the hard disk or memory of equipment.The computer readable storage medium is also possible to the External memory equipment of the equipment, such as
The plug-in type hard disk being equipped in the equipment, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card) etc..Further, the computer readable storage medium can also be wrapped both
The internal storage unit for including the equipment also includes External memory equipment.The computer readable storage medium is described for storing
Other programs and data needed for computer program and the equipment.The computer readable storage medium can be also used for temporarily
Ground stores the data that has exported or will export.
It should be noted that computer readable storage medium and embodiment of the present invention method that the embodiment of the present invention four proposes
The method for determining service hall service window quantity proposed is based on identical inventive concept, computer readable storage medium
Embodiment can be applicable in mutually with the relevant art content in embodiment of the method, and and will not be described here in detail.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can use different methods to achieve the described function each specific application, but this realization is not
It is considered as beyond the scope of this invention.
It is apparent to those skilled in the art that for convenience of description and succinctly, foregoing description is set
Standby and unit specific work process, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, apparatus embodiments described above are merely indicative, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.In addition, shown or discussed phase
Coupling, direct-coupling or communication connection between mutually can be through some interfaces, the INDIRECT COUPLING or communication of equipment or unit
Connection is also possible to electricity, mechanical or other form connections.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.Some or all of unit therein can be selected to realize the embodiment of the present invention according to the actual needs
Purpose.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, is also possible to two or more units and is integrated in one unit.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory,
ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. are various can store program
The medium of code.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (10)
1. a kind of method for determining service hall service window quantity characterized by comprising
Obtain first client's sum R that service hall is reached in preset time T1, each service window is in the preset time T
Second client's sum R that the summation S of interior service time and each service window service in the summation S2；
Obtain the window expense C that the service window is opened up in a unit times, a client be in a unit
Leeway expense CwWith the range L for determining the service window number of optimal service window number C；
Based on the preset time T, the first client sum R1, the second client sum R2, the summation S, the window
Expense Cs, the failure costs CwWith the range L, the optimal service window number C is calculated.
2. the method as described in claim 1, which is characterized in that described based on the preset time T, first client sum
R1, the second client sum R2, the summation S, the window expense Cs, the failure costs CwWith the range L, calculate
The optimal service window number C, comprising:
Based on the preset time T and the first client sum R1, calculate and reach the service within a unit time
First client's number λ=R in hall1/T；Based on the second client sum R2With the summation S, a service window is calculated
The second client's number μ=R serviced within a unit time2/S；
Based on the first client number λ, the second client number μ, the window expense CsWith the failure costs Cw, calculate
Expense Y needed for opening up the m service windows in one unit time1(m) total visitor and in service hall
Expense Y of the amount in a unit time internal loss2(m) summation Y (m)；
Based on the Y (m) and the range L, the optimal service window number C is determined.
3. method according to claim 2, which is characterized in that described to be based on the Y (m) and the range L, determination is described most
Excellent service window number C, comprising:
The smallest m of value for making function Y (m) in the range L is determined as the optimal service window number C.
4. method according to claim 2, which is characterized in that described to be based on the Y (m) and the range L, determination is described most
Excellent service window number C, comprising:
Calculate WsAnd Wq, wherein WsThe first average time of consumption is completed in service；WqIt is a client from starting to queue to queuing knot
Beam consumption is client from starting to queue to by the second average time of service window, and Ws=Wq+Wr, WrFor a client
By the average time of service window services；
Based on the Y (m), the WsWith the Wq, determine the optimal service window number C.
5. a kind of for determining the device of service hall service window quantity characterized by comprising
First obtains module, for obtaining the first client's sum R for reaching service hall in preset time T1, each service window
Mouth the second visitor that the summation S of service time and each service window service in the summation S in the preset time T
Family sum R2；
Second acquisition unit, for obtaining the window expense C for opening up the service window in a unit times, a visitor
Failure costs C of the family in a unit timewWith the range L for determining the service window number of optimal service window number C；
Computing unit, for being based on the preset time T, the first client sum R1, the second client sum R2, it is described
Summation S, the window expense Cs, the failure costs CwWith the range L, the optimal service window number C is calculated.
6. device as claimed in claim 5, which is characterized in that the computing unit includes:
First computation subunit is calculated for being based on the preset time T and the first client sum R1 in a list
First client's number λ=R of the service hall is reached in the time of position1/T；Based on the second client sum R2With the summation S,
Calculate second client's number μ=R that a service window services within a unit time2/S；
Second computation subunit, for being based on the first client number λ, the second client number μ, the window expense CsAnd institute
State failure costs Cw, expense Y needed for calculating opens up the m service windows within a unit time1(m) it and is in
The expense Y of total client's number in service hall in a unit time internal loss2(m) summation Y (m)；
Determination unit, for determining the optimal service window number C based on the Y (m) and the range L.
7. device as claimed in claim 6, which is characterized in that the determination unit includes:
Minimum determination unit, for the smallest m of value of function Y (m) will to be made to be determined as the optimal service window in the range L
Number C.
8. device as claimed in claim 6, which is characterized in that the determination unit includes:
Time determination unit, for calculating WsAnd Wq, wherein WsIt is complete by service window services from starting to queue to for a client
At the first average time of consumption；WqTerminate the second average time of consumption from starting to queue to be lined up for a client, and Ws=
Wq+Wr, WrIt is a client by the average time of service window services；Based on the Y (m), the WsWith the Wq, described in determination
Optimal service window number C.
9. a kind of equipment, which is characterized in that in the memory and can be at the place including memory, processor and storage
The computer program run on reason device, which is characterized in that realized when the processor executes the computer program as right is wanted
The step of seeking any one of 1 to 4 the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as Claims 1-4 of realization the method.
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| CN101763674A (en) * | 2010-01-18 | 2010-06-30 | 深圳市奥拓电子股份有限公司 | Intelligent queue system and optimization method of service window number thereof |
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