CN106447302A - Intelligent order distributing method - Google Patents
Intelligent order distributing method Download PDFInfo
- Publication number
- CN106447302A CN106447302A CN201610901498.8A CN201610901498A CN106447302A CN 106447302 A CN106447302 A CN 106447302A CN 201610901498 A CN201610901498 A CN 201610901498A CN 106447302 A CN106447302 A CN 106447302A
- Authority
- CN
- China
- Prior art keywords
- state
- distribute leaflets
- work order
- order
- transfer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Economics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent order distributing method. The intelligent order distributing method comprises the following steps: according to the history work order processing situation of an object, forecasting the work order completed amount of the object during the next period based on the Markov chain; evaluating the state of the object, setting the initial state as 100%; according to the pre-estimated completed amount, object state evaluation and the order processing amount of the object, calculating the order sending priority; according to the order sending priority of the object, distributing the work order to the object, comparing the persistence order sending, and periodicity batch order sending. Compared with the weighting configuration of traditional automatic order sending, the method does not need to analyze and detail the effect of each external factor to the order sending amount, and the needs of manual intervention are greatly reduced while the weighting change is adjusted because of each time of the external condition change.
Description
Technical field
The present invention relates to Workflow system automatic field is and in particular to a kind of intelligence divides folk prescription method.
Background technology
Distribute leaflets belong to requisite link in examination streaming system, associate with review operations flow process thereafter in logic
Property is not high, but work order resource allocation has a far reaching influence to the efficiency of whole auditing flow.Due to the unreasonable distribution of distribute leaflets link, carry
The work order come is piled up or is lacked, or even the distribute leaflets of mistake, causes the wasting of resources, or even work order is lost, to whole system and industry
It is all a disaster for business.The improvement of distribute leaflets flow process is typically to more reasonably assigning work order to person liable, it is to avoid user
Expend excessive energy and time in distribute leaflets link, improve the review efficiency of whole work order business.
Auditing system distribute leaflets scheme is generally divided into artificial and automatic two kinds.Artificial distribute leaflets as the term suggests by manually operating, one
As exist and actively claim and passively assign two kinds of scenes, its logic is concisely easily achieved, and subjective controlling is strong.Auto form delivering then will
Artificial distribute leaflets cross process automation, the strategy according to solidification and weight are automatically assigned work order to be assigned and are arrived and correspond to individual.Compare people
Work distribute leaflets improve distribute leaflets efficiency, reduce audit time cost, and stability is high.But the parameter of auto form delivering needs artificial setting
And test, if the external condition such as work order quantity or treatment effeciency produces change, need artificial intervention adjustment at any time.Generally certainly
While dynamic distribute leaflets exist, also will not replace artificial distribute leaflets completely, the latter can be used as the canal manually adjusting or processing fortuitous event
Road.
Existing auto form delivering technical scheme includes：Determine distribute leaflets strategy, such as distribute leaflets type, the rigid condition such as priority；
Set object distribute leaflets weight, such as distribute leaflets proportioning, variable (may the often change) condition such as daily highest distribute leaflets upper limit；Gu
Surely write distribute leaflets logical code, or the development management page facilitates special messenger that indices are managed.
Existing auto form delivering has the following disadvantages：1) motility is low；Distribute leaflets logical sum weight proportioning is assessed by human subjective
Analysis draws, and manually adjust reply various change (include the change of work order quantity and structure, the change of worksheet flow process,
The flowing of personnel and capacity variation etc.).2) maintenance cost is high；When external influence factors change is excessive, generally requires business and open
The personnel of sending out reappraise and reconstruction weights configuration module.3) Adjustment effect time delay.Can only after deviation in distribute leaflets manually again
Assess and update distribute leaflets weight, and need execution a period of time ability verification the verifying results, deviation occurs every time and typically requires repeatedly
Adjustment can be only achieved ideal stable state.4) consider less than efficiency fluctuation.The process of distribute leaflets object (personal or teams and groups)
Efficiency can produce fluctuation due to human factor (personal inclination and state etc.), but traditional distribute leaflets weight configuration cannot generally will not
In view of such factor.
Relational language implication：
Work order：To personnel assignment production task and record the protocol of its production activity in industrial undertaking.A kind of towards
The file of work center description manufacturing procedure priority, illustrates that the operation of work centre is to be completed in one week or a period
Production task.
Examination ＆ verification work order：Production task for examination ＆ verification type service.
Workflow (Workflow)：Refer to " automatization under computer utility environment for a part or whole part of business procedure ",
Be between workflow and its each operating procedure business rule abstract, be broadly described Workflow system refer to support enterprise operation
Processing efficient executes and monitors the computer software of its implementation procedure.
Work order streaming system：Workform management system based on workflow process.
Distribute leaflets：In work order streaming system, work order is assigned to the operating process of director.
Content of the invention
The technical problem to be solved is to provide a kind of intelligence point folk prescription method, the worksheet based on distribute leaflets object
Efficiency is different, builds the efficiency to object and carries out effective evaluation, and the intelligence system made a prediction.This system is used for predicting
Distribute leaflets object next send monocyclic estimate performance, in conjunction with the current self evaluation of object, calculate next cycle distribute leaflets
Amount.
For solving above-mentioned technical problem, the technical solution used in the present invention is：
A kind of intelligence point folk prescription method, comprises the following steps：
Step 1：According to the history trouble ticket disposition of object, based on Markov Chain Forecast object next cycle work
Single performance；
Step 2：The state of evaluation object, sets original state as 100%；
Step 3：Its distribute leaflets priority is calculated according to single amount in the process of performance, Obj State evaluation and object of estimating；
Step 4：Distribute leaflets priority according to object assigns work order to object, including persistence distribute leaflets, periodically batch group
Single.
Further, described step 1 is specially：
Step 1.1：Prediction is single to measure interval, that is, give lower limit and the upper limit that object is expected to complete singly to measure, table in next cycle
It is shown as [min, max]；
Step 1.2：Interval layering, will be divided into N number of level in interval, N number of level represents N kind state, respectively X1,
X2…XNIf certain periodic state of this object is Xi, the state in next cycle is Xj, then its state transfer is from XiTransfer to
Xj, XijTransfer number add 1；
Step 1.3：Obj State is predicted, sends monocyclic history list to measure the transfer square that does well according to object in front T
Battle array, calculates, by transfer matrix, the eigenmatrix G that eigenvalue is 1, tries to achieve limit vector X finally according to G X=0, thus calculating
Going out next cycle completes pre- appraisal.
Further, also include step 4：If number of users increases under work order streaming system, individuality is grouped, that is, produces
Raw teams and groups, actively claim work order by member inside teams and groups.
Compared with prior art, the invention has the beneficial effects as follows：1) compare traditional auto form delivering weight configuration it is not necessary to
Analysis and the refinement impact to distribute leaflets amount for the various external factor, greatly reduce each external condition change and cause weight change to adjust
Needs to manpower intervention when whole.2) there's almost no later development cost.3) dynamic prediction adjust distribute leaflets proportioning, once outward
Portion's factor impacts to worksheet efficiency, can embody distribute leaflets next time immediately.4) consider efficiency fluctuation, in conjunction with individual
Evaluate adjustment system distribute leaflets ratio.
Specific embodiment
This intelligent evaluation system according to the history trouble ticket disposition of distribute leaflets object, based on The Markov Chain Algorithm by each
The number change of period treatment work order is as the transfer of state, and then predicts that this object of next cycle may process work order number, knot
Close it and actual distribute leaflets amount is adjusted to the evaluation of estimate of self current state.Details are as follows：
First, the history trouble ticket disposition according to object, based on Markov Chain Forecast object next cycle work order
Performance X (what in the present invention, single amount refered in particular to unit period completes single amount).
1st, predict that single amount is interval.Given object may complete the lower limit singly measured and the upper limit (here by history in next cycle
Minimum and peak determines it is also possible to be derived from operation regulation), then the interval of the single amount of prediction is just [min, max].
2nd, interval layering.Interval is divided into N number of level, due to interval history list amount scatterplot picture show middle close
Collection, the sparse feature in both sides (subjects history list amount statistics is in generally just to be distributed very much, therefore more by the interval distribution in middle level).For
Make the level of the intermediate level obvious, in layering, intermediate layer can be more more dense.This N number of level represents N kind
State, respectively X1,X2…XNIf certain periodic state of this object is Xi, the state in next cycle is Xj, then his state
Transfer is then from XiTransfer to Xj, then XijTransfer number add 1.
3rd, Obj State prediction.Send monocyclic history list amount can draw state-transition matrix according to object at first T, should
Transfer matrix reflects the change that wherein each two distribute leaflets cycle list amount completes efficiency.Calculating eigenvalue again by transfer matrix is
1 eigenmatrix G, tries to achieve limit vector X finally according to G X=0.For example, it is assumed that interval layering N is 5, then X may be
(0.08,0.35,0.39,0.18,0), show respectively object in 5 interval transition probabilities.Under X reflects to a certain extent
One periodic state transition probability prediction, for example, can take the 2nd interval intermediate value with the 3rd interval, as estimating of next cycle
Performance X.
2nd, it is directed to the state evaluation Y of object, practical situation can be combined by personal or squad leader and assess.Default conditions are
100%, adjustment interval can be designed according to business practical situation, and such as 80%-120% is directed to flow change business infrequently
Proper.
3rd, according to estimating performance X, Obj State is evaluated single amount Z in Y and object handles and is calculated its distribute leaflets priority P：P
=Y*X Z.Wherein it is desired to process in work order explicitly define, that is, object persistence update undone work order, and undetermined in (example
As wait third party feed back) work order should not count in process.
4th, combine distribute leaflets mode to object distribute leaflets.
1st, also there are various ways, such as persistence distribute leaflets, or periodicity batch distribute leaflets with reference to actual scene distribute leaflets, also may be used
Can fall between.
1), persistence distribute leaflets：Monitor new work order and produce and at once assign, before assigning every time, obtain current priority highest
Object, then recalculates and updates this object priority；
2) periodicity batch distribute leaflets：Distribute leaflets period distances are longer, and period is accumulated；
3) to some, object priority is converted to distribute leaflets ratio, further according to group to work order to be assigned by each distribute leaflets money
Digital ratio equation distributes accumulation work order to object；
2nd, with the increasing of number of users under work order streaming system, the management of personnel generally may require that and individuality is carried out point
Group, that is, produce teams and groups.In the case of there is service line identical between teams and groups and teams and groups, can be based on step 1,2 explain
State and estimate single amount distribute leaflets with teams and groups for object, then inside teams and groups, work order is actively claimed by member, to improve distribute leaflets efficiency, and
And it is easy to the dynamic equilibrium within teams and groups.Note：If teams and groups' composition change is frequently, the predictive value based on teams and groups may be forbidden
Really.Which is only suitable to the WorkForm System that teams and groups personnel are more stable or tend towards stability；
Distribute leaflets operation refers to for work order and object to produce binding that (usual way adds object identity, example under work order data
As teams and groups' name, ID etc.), updating work order state is " assigning " (preventing from repeating distribute leaflets), and to non-group in work order operation
The restriction that single object is checked and updated.
The distribute leaflets cycle：If the distribute leaflets cycle is not fixed, for example need when generating work order immediately distribute leaflets (for ageing,
Or the requirement of feedback of the information), this distribute leaflets frequency is too high, and (in multiple distribute leaflets cycles, the history of object completes singly to measure and almost tends to
Zero, that is, the average time completing a list is far above the distribute leaflets cycle), the few situation of each distribute leaflets amount is it is proposed that group in set-up procedure 1
Monocycle is more reasonably worth to one.Adjustment principle is that most of cycle history performance reaches certain scale and produces relatively
Substantially rise and fall, be necessary at last with the pre-estimation ensureing each cycle, rather than waste calculation power in invalid high frequency period.?
Then being distributed according to this valuation poll when dividing single, is occurring in estimating after processing costs to new delimiting period.Poll distributes and refers to,
Filter out during distribute leaflets every time and do not send full object, therefrom extract one out immediately and carry out distribute leaflets, next time then in addition to last time object
Do not send and extract the next one in full object out and carry out distribute leaflets, a wheel repeats, until all objects reach discreet value after terminating.If reaching
To after discreet value, this cycle does not also terminate, then continue to distribute at random successively, to ensure the fairness based on valuation distribute leaflets.
Claims (3)
1. a kind of intelligence point folk prescription method is it is characterised in that comprise the following steps：
Step 1：According to the history trouble ticket disposition of object, complete in the work order in next cycle based on Markov Chain Forecast object
Cheng Liang；
Step 2：The state of evaluation object, sets original state as 100%；
Step 3：Its distribute leaflets priority is calculated according to single amount in the process of performance, Obj State evaluation and object of estimating；
Step 4：Distribute leaflets priority according to object assigns work order to object, including persistence distribute leaflets, periodicity batch distribute leaflets.
2. a kind of intelligence point folk prescription method as claimed in claim 1 is it is characterised in that described step 1 is specially：
Step 1.1：Prediction is single to measure interval, that is, give lower limit and the upper limit that object is expected in next cycle to complete singly to measure, be expressed as
[min, max]；
Step 1.2：Interval layering, will be divided into N number of level in interval, N number of level represents N kind state, respectively X1, X2…XN,
If certain periodic state of this object is Xi, the state in next cycle is Xj, then its state transfer is from XiTransfer to Xj, Xij's
Transfer number adds 1；
Step 1.3：Obj State is predicted, sends monocyclic history list to measure the transfer matrix that does well according to object at first T,
The eigenmatrix G that eigenvalue is 1 being calculated by transfer matrix, trying to achieve limit vector X finally according to G X=0, thus calculating
Next cycle estimates performance.
3. a kind of intelligence point folk prescription method as claimed in claim 1 or 2 is it is characterised in that also include step 4：If work order stream system
The lower number of users of system increases, then individuality is grouped, that is, produces teams and groups, actively claim work order by member inside teams and groups.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610901498.8A CN106447302A (en) | 2016-10-17 | 2016-10-17 | Intelligent order distributing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610901498.8A CN106447302A (en) | 2016-10-17 | 2016-10-17 | Intelligent order distributing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106447302A true CN106447302A (en) | 2017-02-22 |
Family
ID=58174794
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610901498.8A Pending CN106447302A (en) | 2016-10-17 | 2016-10-17 | Intelligent order distributing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106447302A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108416534A (en) * | 2018-03-27 | 2018-08-17 | 上海复旦后勤服务发展有限公司 | Common equipment operation management system |
| CN110210707A (en) * | 2019-04-30 | 2019-09-06 | 跨越速运集团有限公司 | Point portion Automatic dispatching efficiency rating method and system based on entropy assessment |
| CN113592106A (en) * | 2021-07-07 | 2021-11-02 | 杭州智果科技有限公司 | Work order service system |
-
2016
- 2016-10-17 CN CN201610901498.8A patent/CN106447302A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108416534A (en) * | 2018-03-27 | 2018-08-17 | 上海复旦后勤服务发展有限公司 | Common equipment operation management system |
| CN110210707A (en) * | 2019-04-30 | 2019-09-06 | 跨越速运集团有限公司 | Point portion Automatic dispatching efficiency rating method and system based on entropy assessment |
| CN113592106A (en) * | 2021-07-07 | 2021-11-02 | 杭州智果科技有限公司 | Work order service system |
| CN113592106B (en) * | 2021-07-07 | 2023-12-19 | 杭州智果科技有限公司 | Work order service system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104283946B (en) | The resource-adaptive adjustment system and method for multi-dummy machine under a kind of single physical machine | |
| CN104317658B (en) | A kind of loaded self-adaptive method for scheduling task based on MapReduce | |
| Yu et al. | Reputation-aware task allocation for human trustees | |
| CN111682962B (en) | Power data network fault recovery method, system and storage medium | |
| CN110389820A (en) | A kind of private clound method for scheduling task carrying out resources based on v-TGRU model | |
| CN105373432B (en) | A kind of cloud computing resource scheduling method based on virtual resource status predication | |
| CN104468413B (en) | A kind of network service method and system | |
| CN106790636A (en) | A kind of equally loaded system and method for cloud computing server cluster | |
| CN109710412A (en) | A kind of Nginx load-balancing method based on dynamical feedback | |
| CN110196773B (en) | Multi-time-scale security check system and method for unified scheduling computing resources | |
| CN106447302A (en) | Intelligent order distributing method | |
| CN111414070A (en) | Case power consumption management method and system, electronic device and storage medium | |
| CN104506576B (en) | A kind of wireless sensor network and its node tasks moving method | |
| CN111813524A (en) | Task execution method and device, electronic equipment and storage medium | |
| CN110099083A (en) | A kind of load equilibration scheduling method and device for server cluster | |
| CN116467082A (en) | Big data-based resource allocation method and system | |
| CN114826924A (en) | Method and device for bandwidth allocation | |
| CN117290090A (en) | Node cooperative resource allocation method, device, equipment and storage medium | |
| Zhang et al. | A data replica placement scheme for cloud storage under healthcare IoT environment | |
| CN117479049B (en) | Data transmission control method for intelligent fuel gas, internet of things system and medium | |
| Yang et al. | Snape: Reliable and low-cost computing with mixture of spot and on-demand vms | |
| Yang et al. | Design of kubernetes scheduling strategy based on LSTM and grey model | |
| CN104540171B (en) | A kind of node tasks distribution method in wireless sensor network | |
| CN104320484B (en) | A kind of task immigration method in wireless sensor network based on integration incentive mechanism | |
| CN117608806A (en) | Calculation task fog-cloud optimization method under smart grid cloud edge cooperative mechanism |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170222 |
|
| WD01 | Invention patent application deemed withdrawn after publication |