CN107203952A - A kind of campus-card system self-help service method based on small granularity service cutting - Google Patents
A kind of campus-card system self-help service method based on small granularity service cutting Download PDFInfo
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Abstract
The present invention provides a kind of campus-card system self-help service method based on small granularity service cutting, based on the association between portfolio, terminal quantity and service experience, it is proposed that a kind of minimum cost self-service device composite algorism and a kind of minimum cost self-service device composite algorism of consideration artificial substituting degree.Algorithm can effectively ensure that the service experience of user, and minimize the overall cost of Self-Service System Construction.Small granularity service cutting is realized by building minimum separate traffic collection, build the data correlation that Self-Service model is set up between portfolio, overall cost and service experience, in the case where realizing service experience target and artificial substituting degree target, optimize the financial cost of Self-Service System Construction.
Description
Technical field
The present invention relates to campus card field, more particularly to a kind of self-service clothes of campus-card system based on small granularity service cutting
Business method.
Background technology
As an important component of Intelligent campus, service feeler is extended university campus life by campus-card system
Various aspects, except having dinner, bathing, do shopping, check out, upper machine, gate inhibition, by bus etc. in addition to traditional services, being characterized with on-line payment
Mobile interchange service also increasingly popularize.Campus-card system has turned into a part indispensable during colleges and universities teachers and students live, is
Colleges and universities teachers and students provide efficiently, easily Informatization Service.Similar with banking, campus card business (is such as supplemented with money, applied for card, solving
Hang etc.) artificial handle sizable proportion is occupied in the service management of campus card, colleges and universities of the problem in multi-campus school-running
In it is especially prominent.In recent years, with the deep change of system for managing colleges and universities, the campus card manual service post of each colleges and universities is set up more
Come more difficult, Traditional business models are hard to carry on, inevitable choice is turned into from manual service pattern to the migration of Self-Service pattern.
The construction of campus-card system Self-Service has two kinds of approach:One is extensive self-aided terminal construction mode, by being
Unite the empirically determined self-aided terminal of person in charge type, purchase quantity, deployed position, the shortcoming of the pattern is economy
Difference, efficiency are low, and service is substituted and service lifting is difficult to effective evaluation；Secondly be the self-service System Construction pattern become more meticulous, it is comprehensive
The factors such as the service of consideration, artificial, terminal and experience are closed, terminal type, quantity and deployment position needed for accurately being calculated by model
Put, realize that the precision of Self-Service system is built, the pattern can realize higher economy, it is possible to effective evaluation service
Substitute and service lifting degree.The construction that current most of colleges and universities independently service is extensive self-aided terminal construction mode, is led to
Cross micro-judgment and purchase the terminal devices such as cash charger, self-service benefit card machine.The difficult point for the self-service system that becomes more meticulous is Self-Service
How to set up, how to realize validity and universality, its correlative study not yet has the scheme of maturation.
The content of the invention
In order to overcome above-mentioned deficiency of the prior art, the present invention provides a kind of campus card based on small granularity service cutting
System self-help service method, method includes：
STEP 1：For given self-service services sets SA, relied on according to special-purpose member by SAIt is divided into some similar industry that are dominant
Business group and the non-similar traffic group that is dominant:If certain several business relies on identical special-purpose member, it is similar industry to correspond to combinations of services
Business group, if (business holding time is its portfolio and its single to the business holding time of all business in certain similar traffic group
The product of business handling time) it is cumulative and more than the target service time t of self-aided terminalg, then the similar traffic group is called to be dominant
Similar traffic group, the otherwise referred to as non-similar traffic group that is dominant.
Then initial output result collection R is set up, the element of output result collection is (A, m), A are combined in complex for terminal, and m is phase
Answer terminal quantity；
STEP 2：For any similar traffic group that is dominantIt is handled as follows：
A：WillCombinations of services be set to the (A of output result collectionp,mp) A components；
B：TakeThe business holding times of all business it is cumulative andFor business si, business holding time is its business
Measure kiThe time is handled with its single businessProduct；Then takeAnd by mpIt is set to (the A of output result collectionp,mp) m
Component；
C：IfThen it is transferred to the next similar traffic group that is dominant of processing；IfThen willAdd non-
Be dominant similar traffic group, and its business holding time of juxtaposition is
STEP 3：To all non-similar traffic groups that are dominantSet SET is constituted, to set SET processing；
STEP 4：All output result collection elements of output (A, m).
Preferably, in STEP 3, the set SET methods handled are included：
A：Obtained by traveling through mode and meet the subset SET of following condition as followss：(1) in subset it is all it is non-be dominant it is similar
The business holding time of service groups cumulative and as far as possible close to end objectives business hours tgIntegral multiple (its Rule of judgment is,
The business hours added after other any non-similar traffic groups that are dominant is more than tg)；(2) business composite terminal in current subnet
Cost it is minimum in all subsets；
B：By SETsIn the combination of all business that includes be set to (the A of output result collectionq,mq) A components, Ran HouquAnd by mqIt is set to (the A of output result collectionq,mq) m components；
C：The subset SET that SET delete steps A is obtained in sets, it is used as a new non-similar traffic group set that is dominant
SET ', and repeat step A, until set is changed into null set.
Preferably, in STEP 2, it can use as follows to ensure that the business under artificial substitution degree requirement is combined optimum combination
Mode obtains portfolio：
To any self-service business si, its portfolio acquisition modes is：
Wherein, kiFor self-service business siWhole portfolios, d for intend be equipped with synthesis (artificial) terminal quantity, tgIt is taken as
The target service time of integrated terminal；slFor non-self-service business, klFor the portfolio of non-self-service business,For single slBusiness
Handle the time, S is whole collection of services, thereforeFor all non-self-service business holding times；It is (artificial) eventually for synthesis
Every business handling time of statistical average is held,For the self-service business i portfolio in all self-service business time accountings.
As can be seen from the above technical solutions, the present invention has advantages below：
Based on the association between portfolio, terminal quantity and service experience, and then it is self-service to propose a kind of minimum cost
The minimum cost self-service device composite algorism of equipment composite algorism and a kind of consideration artificial substituting degree.Algorithm can effectively ensure that use
The service experience at family, and minimize the overall cost of Self-Service System Construction.Particulate is realized by building minimum separate traffic collection
Degree business cutting, builds the data correlation that Self-Service model is set up between portfolio, terminal cost and service experience, is realizing
In the case of service experience target and artificial substituting degree target, optimize the financial cost of Self-Service System Construction.
Embodiment
The present invention provides a kind of campus-card system self-help service method based on small granularity service cutting, and this method is given first
Go out following technical characteristic definition：
Technical characteristic defines 1：Services sets S and self-service services sets SA.Existing campus card business cutting is resolved to minimum only
Vertical services sets S={ s1,s2,s3,…,sn, siCan for cash, mend card, change card, change the close, campus such as transfer accounts, subsidize, reporting the loss, delaying
Card minimum can not cutting business, and any siAnd sjBetween have business irrelevant character.Self-service services sets SAFor one of services sets S
Subset, can self-service business, S comprising allA∈S。
Technical characteristic defines 2：Service terminal T.Terminal is divided into 4 kinds according to the type of service carried：Special-purpose terminal：Open
The terminal of certain single business, such as cash charger are opened up, self-service benefit card machine is designated as TS；Composite terminal：Certain several business can be carried out
Terminal, such as transfer accounts, cash, mend card all-in-one, be designated as TM；Integrated terminal：The terminal of all business can be carried out, especially handled
The business that abnormal traffic etc. must be handled manually, integrated terminal correspondence manual service terminal, is designated as TA。
Technical characteristic defines 3：Portfolio C.The campus card business experience portfolio of 1 year, portfolio can be by nearest D
The portfolio in year moves weighted average acquisition, i.e.,：
C=w1C1+w2C2+…+wDCD (1)
Ci={ k1,k2,k3,…,kn} (2)
Wherein, w1For portfolio weights per year, kiFor the business i year amount of handling time.Some Universities, which have been built, can carry out certain
The inline system or APP (terminal on line can be referred to as) of several business (such as transfer accounts, report the loss), but because of network, custom, publicity etc.
The business accounting otherness of business is larger on reason, line, terminal on line is put aside in model treatment herein, only in portfolio
C rejects portfolio on line in adjusting.
Technical characteristic defines 4：End objectives business hours tg.Tolerate and the tired feelings tolerated of terminal meeting terminal and queuing up
Under condition, the terminal whole year accumulative business hours.tgIt is described as follows：
tg=tall-tidle (3)
tallFor terminal annual available machine time, tidleFor equipment free time.Herein during the target service of agreement self-aided terminal
Between be T0, the target service time of integrated terminal is T1, and T1Less than or equal to T0.The end objectives business hours is user service
The primary evaluation index of experience.
To optimize Self-Service system as target, the structure of Self-Service model can be exchanged into following problem solving：
Realize that the cost cost of purpose Self-Service Establishing is minimum.
Constraint 1：Business hours t≤T of self-aided terminal0, business hours t≤T of integrated terminal1；
Constraint 2：Portfolio sum c >=C of all terminals；
Constraint 3：Meet substitution degree requirement of the self-aided terminal to integrated terminal (artificial terminal).
For i-th kind of special-purpose terminalTo meet constraint 1, Ying You：
Wherein,For separate unitTransacting business amount time,Average every for special business i is handled the time,System can be passed through
Meter mode is obtained.
For jth kind composite terminalTo meet constraint 1, Ying You：
Wherein,For separate unit composite terminalTransacting business amount time, n is the quantity of special-purpose terminal,Exist for special business i
Portfolio time accounting in all business,For portfolios of the composite services j in all business time accounting,WithIt can lead to
Cross statistical acquisition.
For integrated terminal TA, to meet constraint 1, Ying You：
Wherein, rAFor single integrated terminal TATransacting business amount time,For average every of special business i it is artificial handle when
Between,It can be obtained by statistical.
For any business si, to meet constraint 2, Ying You：
Wherein,For special-purpose terminalQuantity, h be composite terminal number of species,Composite terminalQuantity, lA
For integrated terminal TAQuantity.If constraint 3 need to be met, only need lAIt is set as constant.
It is assumed that special-purpose terminalPurchase cost beComposite terminalPurchase cost beIntegrated terminal TAPurchase
Cost is bought for UA, then to meet target 1, Ying You：
Problem, which can be exchanged into, solves cause cost minimum And lA。
The target being combined based on business of the present invention is so that the Least-cost of whole self-service system.For given self-service industry
Business collection SAIf the quantity of business is e, optional special-purpose terminal in setQuantity be also e, and any two above service groups
The quantity for closing the optional composite terminal produced is huge, and how the compound cost of overall assessment business to obtain optimal solution is mould
The key that type is calculated.The cost being combined for effective evaluation business, introduces the concept of a business hours cost herein：
Technical characteristic defines 5 business hours costsIn a certain terminal TjOn handle a certain specific transactions siCost accounting
Cost, ctIt is described as follows：
BjFor terminal TjPurchase cost,For single siBusiness handles the time,It can be obtained by statistical, tbFor
The terminal practical business time.That is ctEquipment price is multiplied by equal to single business handling time accounting.
The design of business complex composition is in addition to cost factor is considered, it is also contemplated that management and easy-to-use, i.e. service terminal
In the case of cost is not increased, business should be combined as far as possible.Based on this, the concept of a similar traffic group is introduced：
Technical characteristic defines 6：Similar traffic group.If certain several business relies on identical special-purpose member, and business is compound eventually
End and any of which business composite terminal have identical hardware costs, then deserve to be called the business of stating is combined as similar traffic group.If
The business holding time of each single item business in certain similar traffic group is (for business si, business holding time is its portfolio kiWith
Its single business handles the timeProduct) it is cumulative and more than end objectives business hours tg, then the similar traffic group is called to account for
Excellent similar traffic group, the otherwise referred to as non-similar traffic group that is dominant.
In the present invention, as terminal practical business time tbEqual to its target service time tgWhen, during the business of composite terminal
Between cost be more than or equal to its compound any special-purpose terminal.
Prove as follows：If any business sjWith business siSpecial-purpose terminal is combined, then the cost B of composite terminali+j≥Bi, according to
Formula (9), if tb=tg, now business siWith sjIt is the business of being dominant,Keep constant, then for si, during the business of composite terminal
Between cost be more than or equal to its special-purpose terminal cost.Especially, for similar traffic group, because the cost of composite terminal is equal to it
Any business in one special-purpose terminal cost, its group, is equal to corresponding special in the business hours cost of similar traffic composite terminal
With the business hours of terminal.
In the present invention, as terminal practical business time tbEqual to its target service time tgWhen, during the business of integrated terminal
Between cost be more than or equal to any composite terminal.
Prove as follows：According to defining 2, integrated terminal will include the special-purpose member for being related to all business, and need extraneous expense
Manpower wages cost, therefore the cost B of integrated terminalAIt is maximum in all terminals, then for any business si, according to formula (9),
If tb=tg,Keep constant, then the business hours cost of integrated terminal is maximum in all terminals, i.e. the business of integrated terminal
Time cost is more than or equal to any composite terminal.
In the present invention, when the practical business time sum of certain two service-specific terminal is less than or equal to its target service
Time tgWhen, the business hours cost of composite terminal is less than the set of terminal of two service-specific terminal compositions of correspondence.
Prove as follows：If any business sjWith business siTwo kinds of business are combined, then the cost B of composite terminali+j≤Bi+Bj,
According to formula (9), if Keep constant, then for si, have：
Then for sj, have：
Then it can draw, the business hours cost of composite terminal is less than the terminal of two service-specific terminal compositions of correspondence
Group.
It can show that service terminal is combined principle according to above-mentioned inference as follows：(1) the same business being dominant in similar traffic group
It should be combined in same composite terminal, the business that difference is dominant in similar traffic group is not available for being combined；(2) it is all non-to be dominant
Business in service groups can be combined based on the business hours same composite terminal of cost principle.
The method of the present invention includes：
STEP 1：For given self-service services sets SA, relied on according to special-purpose member by SAIt is divided into some similar industry that are dominant
Business group and the non-similar traffic group that is dominant：If certain several business relies on identical special-purpose member, it is similar industry to correspond to combinations of services
Business group, if (business holding time is its portfolio and its single to the business holding time of all business in certain similar traffic group
The product of business handling time) it is cumulative and more than the target service time t of self-aided terminalg, then the similar traffic group is called to be dominant
Similar traffic group, the otherwise referred to as non-similar traffic group that is dominant.
Then initial output result collection R is set up, the element of output result collection is (A, m), A are combined in complex for terminal, and m is phase
Answer terminal quantity；
STEP 2：For any similar traffic group that is dominantIt is handled as follows：
A：WillCombinations of services be set to the (A of output result collectionp,mp) A components；
B：TakeThe business holding times of all business it is cumulative andFor business si, business holding time is its business
Measure kiThe time is handled with its single businessProduct；Then takeAnd by mpIt is set to (the A of output result collectionp,mp) m
Component；
C：IfThen it is transferred to the next similar traffic group that is dominant of processing；IfThen willAdd non-
Be dominant similar traffic group, and its business holding time of juxtaposition is
STEP 3：To all non-similar traffic groups that are dominantSet SET is constituted, to set SET processing；
The set SET methods handled are included：
A：Obtained by traveling through mode and meet the subset SET of following condition as followss：(1) in subset it is all it is non-be dominant it is similar
The business holding time of service groups cumulative and as far as possible close to end objectives business hours tgIntegral multiple (its Rule of judgment is,
The business hours added after other any non-similar traffic groups that are dominant is more than tg)；(2) business composite terminal in current subnet
Cost it is minimum in all subsets；
B：By SETsIn the combination of all business that includes be set to (the A of output result collectionq,mq) A components, Ran HouquAnd by mqIt is set to (the A of output result collectionq,mq) m components；
C：The subset SET that SET delete steps A is obtained in sets, it is used as a new non-similar traffic group set that is dominant
SET ', and repeat step A, until set is changed into null set.
STEP 4：All output result collection elements of output (A, m).
In the STEP 2 of the present invention, it can use as follows to ensure that the business under artificial substitution degree requirement is combined optimum combination
Mode obtains portfolio：
To any self-service business si, its portfolio acquisition modes is：
Wherein, kiFor self-service business siWhole portfolios, d for intend be equipped with synthesis (artificial) terminal quantity, tgIt is taken as
The target service time of integrated terminal；slFor non-self-service business, klFor the portfolio of non-self-service business,For single slBusiness
Handle the time, S is whole collection of services, thereforeFor all non-self-service business holding times；For synthesis (artificial)
Every business handling time of terminal statistical average,For the self-service business i portfolio in all self-service business time accountings.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (3)
1. a kind of campus-card system self-help service method based on small granularity service cutting, it is characterised in that method includes：
STEP 1：For given self-service services sets SA, relied on according to special-purpose member by SAIt is divided into some similar traffic groups that are dominant
With the non-similar traffic group that is dominant：If certain several business relies on identical special-purpose member, it is similar traffic group to correspond to combinations of services,
If (business holding time is that its portfolio is done with its single business to the business holding time of all business in certain similar traffic group
The product of reason time) it is cumulative and more than the target service time t of self-aided terminalg, then the similar traffic group is called the similar industry that is dominant
Business group, the otherwise referred to as non-similar traffic group that is dominant；
Then initial output result collection R is set up, the element of output result collection is (A, m), A are combined in complex for terminal, and m is corresponding whole
Hold quantity；
STEP 2：For any similar traffic group that is dominantIt is handled as follows：
A：WillCombinations of services be set to the (A of output result collectionp,mp) A components；
B：TakeThe business holding times of all business it is cumulative andFor business si, business holding time is its portfolio kiWith
Its single business handles the timeProduct；Then takeAnd by mpIt is set to (the A of output result collectionp,mp) m components；
C：IfThen it is transferred to the next similar traffic group that is dominant of processing；IfThen willAdd non-be dominant
Similar traffic group, its business holding time of juxtaposition is
STEP 3：To all non-similar traffic groups that are dominantSet SET is constituted, to set SET processing；
STEP 4：All output result collection elements of output (A, m).
2. the campus-card system self-help service method according to claim 1 based on small granularity service cutting, its feature exists
In,
In STEP 3, the set SET methods handled are included：
A：Obtained by traveling through mode and meet the subset SET of following condition as followss：(1) all non-similar traffic groups that are dominant in subset
Business holding time cumulative and as far as possible close to end objectives business hours tgIntegral multiple (its Rule of judgment is to add it
Business hours after his any non-similar traffic group that is dominant is more than tg)；(2) in current subnet business composite terminal cost
It is minimum in all subsets；
B：By SETsIn the combination of all business that includes be set to (the A of output result collectionq,mq) A components, Ran HouquAnd by mqIt is set to (the A of output result collectionq,mq) m components；
C：The subset SET that SET delete steps A is obtained in sets, as a new non-similar traffic group set SET ' that is dominant,
And repeat step A, until set is changed into null set.
3. the campus-card system self-help service method according to claim 1 based on small granularity service cutting, its feature exists
In,
In STEP 2, business can be obtained in the following way to ensure that the business under artificial substitution degree requirement is combined optimum combination
Amount：
To any self-service business si, its portfolio acquisition modes is：
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Wherein, kiFor self-service business siWhole portfolios, d for intend be equipped with synthesis (artificial) terminal quantity, slTo be unartificial
Business,Taken for all non-self-service business hours,For synthesis (artificial) terminal every business handling of statistical average
Time,For the self-service business i portfolio in all self-service business time accountings.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710390330.XA CN107203952B (en) | 2017-05-27 | 2017-05-27 | Campus card system self-service method based on fine-grained service segmentation |
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|---|---|---|---|
| CN201710390330.XA CN107203952B (en) | 2017-05-27 | 2017-05-27 | Campus card system self-service method based on fine-grained service segmentation |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101212389A (en) * | 2006-12-30 | 2008-07-02 | 华为技术有限公司 | Outburst convergence control method, device, and communication device |
| US20130262466A1 (en) * | 2012-03-27 | 2013-10-03 | Fujitsu Limited | Group work support method |
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2017
- 2017-05-27 CN CN201710390330.XA patent/CN107203952B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101212389A (en) * | 2006-12-30 | 2008-07-02 | 华为技术有限公司 | Outburst convergence control method, device, and communication device |
| US20130262466A1 (en) * | 2012-03-27 | 2013-10-03 | Fujitsu Limited | Group work support method |
Non-Patent Citations (1)
| Title |
|---|
| 黎冬媛 等.: "移动通信前台业务自助服务系统的设计与实现", 《计算机工程与设计》 * |
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