CN110189052A - A kind of evaluation method based on scattered data being combination constraint condition - Google Patents
A kind of evaluation method based on scattered data being combination constraint condition Download PDFInfo
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Abstract
The invention discloses a kind of evaluation method based on scattered data being combination constraint condition, specific steps are as follows: n lot data of typing sets n COM code using TextRank algorithm；The n COM code frequency of occurrences is extracted using TF algorithm to be ranked up；Constraint condition is set, to extract specific COM code or the COM code containing specific factor requirement；Data sorting rule is set, the blending algorithm of selected sequence is ranked up.This method uses algorithm fusion, it only needs manually to upload different batches data, constraint condition is set after upload, it can obtain desired material data, optimize the production factors such as human and material resources, financial resources, management, unified configuration is carried out, multi-party resource is concentrated, unified configuration production factors, is realized thrifty, constraint, is efficiently value orientation.
Description
Technical field
The present invention relates to a kind of evaluation method more particularly to a kind of evaluation sides based on scattered data being combination constraint condition
Method.
Background technique
In the intensive work of material resources, it will usually form a large amount of scattered data being, when to these scattered data processings, pass
The method of system is using a large amount of artificial repeated very high or mixed and disorderly data work of progress, but the working efficiency of manual method
It is low, error rate is high.Nowadays, there are some evaluation systems to focus on to scattered data being, but there are still many
Defect.
By taking current existing ERP-SAP system as an example, it is based on Highgrade integration in advanced enterprise management idea
Information system is a set of application system for rationally integrating financial accounting, distribution, manufacture and other business functions, and enterprise is helped to improve
The new type enterprise management mode of management level.Wherein, the WMM module in SAP software is handling of goods and materials module: externally acquiring goods and materials
Adoption process and inventories be managed, control operating efficiency is from the detailed process that please buy storage of receiving.Pass through foundation
With maintenance purchase order mode, procurement contract tracking is realized, supplier's schedule of deliveries and evaluation procurement activity performance etc. is arranged to need
Target is sought, the efficiency of procurement activity is improved, reduces purchase cost.Simultaneously can accurately inquire the various articles of company Inventory Performance and
Inventory change history.But the WMM module cannot achieve and carry out comprehensive management to China's material on hand situation, such as criticize
Secondary management, and full maintenance only is carried out to the batch of material in WMM module, can not dynamically be modified and can not to for
The batch of maintenance carries out inquiry and summarizes.Dynamically track can not be carried out to supplier, contact person can not carry out Dynamic Maintenance etc..
Summary of the invention
In order to solve shortcoming present in above-mentioned technology, the present invention provides one kind to combine constraint based on scattered data being
The evaluation method of condition.
In order to solve the above technical problems, the technical solution adopted by the present invention is that: one kind combining constraint based on scattered data being
The evaluation method of condition, specific steps are as follows:
Step 1: firstly, using TextRank algorithm to extract all materials the data progress typing of different batches material
Coding, as shown in formula I:
Wherein, WS indicates the COM code extracted；I and j indicates different batches；ViAnd VjIndicate the data of different batches
Middle COM code quantity；VkIndicate COM code total quantity in the data of all batches；How many batch n indicates；D indicates resistance
Buddhist nun's coefficient determines and obtains stable value by successive ignition after damped coefficient；WjiIt is weight term, for indicating between each batch
Different significance levels；There are how many a COM codes altogether in k expression；In indicates logarithm；Out indicates negative, eliminates；
Step 2: extracting all data under n COM code according to step 1, n are extracted using TF algorithm after extraction
The COM code frequency of occurrences is ranked up, as shown in formula II:
Wherein, tfI, jExpression is ranked up each COM code frequency of occurrences；There are how many a COM codes altogether in k expression；
nI, jIndicate the number that n COM code occurs in each batch；nK, jIndicate time that n COM code occurs in all batches
Number；
Step 3: extracting COM code tI, jIn batch nI, jThe number of middle appearance, then importance is obtained by IDF algorithm
Measurement, as shown in formula III:
Wherein, idfI, jIndicate the measurement of each COM code importance；| N | indicate COM code sum；dI, jIndicate that i, j are criticized
The measurement of secondary importance；|{i,j:ti,j∈di,j| it include COM code tI, jBatch size (nI, j≠ 0 batch number)；
Step 4: continuing the frequency of high material coding frequency and the COM code in all batch intersections, produce
The TF-IDF of raw high weight filters unwanted COM code using the TF-IDF tendency of high weight, and the material for retaining needs is compiled
Code tfidfI, j, as shown in formula IV:
tfidfi,j=tfi,j×idfj,i Ⅳ
The quantity of all materials is obtained above；
Step 4: constraint condition is set according to different purposes, to extract specific COM code or contain specific factor
It is required that COM code；
Step 5: setting data sorting rule, the blending algorithm of selected sequence are ranked up, complete to different batches material
The evaluation of data.
Further, in step 4 constraint condition setting specifically: set the total number of constraint condition as L, first make
Constrain for the first time with equality constraint and extract, equation is as shown in formula V:
hp(x)=0 V
Wherein, p be which constrain content, p=1,2 ... m (m < 0)；
It is further continued for using inequality constraints, inequality is as shown in formula VI:
gq(x)≤0 Ⅵ
Wherein, q is which constrains content, therefore q=1,2 ... m (m < 0)；
Further according to the property of constraint, selection uses geometrical constraint or boundary constraint.
Further, the blending algorithm to sort in step 5 includes repeating sort algorithm and algorithm of dividing and ruling.
The invention discloses a kind of evaluation methods based on scattered data being combination constraint condition, and algorithm fusion is used, solution
Determined it is existing to a large amount of scattered data beings carry out it is important summarize, sort, extract when, need to use it is a large amount of artificial carry out it is repeated very high
Or the pain spot of the mixed and disorderly work of data.It only needs manually to upload different batches data, constraint condition is set after upload,
Desired material data can be obtained, the production factors such as optimization human and material resources, financial resources, management carry out unified configuration, will be more
Fang Ziyuan concentrated, unified configuration production factors, is realized thrifty, constraint, is efficiently value orientation, thus reach reduction at
Originally, efficiently management, and then make concentration of enterprises force at the core, obtain the advantage of Sustainable Competitiveness.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
A kind of evaluation method based on scattered data being combination constraint condition, flow chart specific steps as shown in Figure 1 are as follows:
Step 1: firstly, using TextRank algorithm to extract all materials the data progress typing of different batches material
Coding, as shown in formula I:
Wherein, WS indicates the COM code extracted；I and j indicates different batches；ViAnd VjIndicate the data of different batches
Middle COM code quantity；VkIndicate COM code total quantity in the data of all batches；How many batch n indicates；D indicates resistance
Buddhist nun's coefficient determines and obtains stable value by successive ignition after damped coefficient；WjiIt is weight term, for indicating between each batch
Different significance levels；There are how many a COM codes altogether in k expression；In indicates logarithm；Out indicates negative, eliminates.
Step 2: extracting all data under n COM code according to step 1, n are extracted using TF algorithm after extraction
The COM code frequency of occurrences is ranked up, as shown in formula II:
TF algorithm is TF word frequency algorithm, refers to the number that some keyword occurs in given file, the present invention by this
Algorithm improvement, is applied to the number that the COM code of different batches occurs in each batch and determines the power of COM code
Weight；
Wherein, tfI, jExpression is ranked up each COM code frequency of occurrences；There are how many a COM codes altogether in k expression；
nI, jIndicate the number that n COM code occurs in each batch；nK, jIndicate time that n COM code occurs in all batches
Number.
Step 3: extracting COM code tI, jIn batch nI, jThe number of middle appearance, then importance is obtained by IDF algorithm
Measurement, i.e., with COM code sum divided by the number comprising a certain COM code in n COM code, then obtain quotient
Logarithm, the measurement of the COM code importance as needed, as shown in formula III:
Wherein, idfI, jIndicate the measurement of each COM code importance；| N | indicate COM code sum；dI, jIndicate that i, j are criticized
The measurement of secondary importance；|{i,j:ti,j∈di,j| it include COM code tI, jBatch size (nI, j≠ 0 batch number)；Such as
For the special COM code that fruit needs individually to extract not in each batch, will lead to dividend is zero, therefore also can be used 1
+|{i,j:ti,j∈di,j}|。
Step 4: continuing the frequency of high material coding frequency and the COM code in all batch intersections, produce
The TF-IDF of raw high weight filters unwanted COM code using the TF-IDF tendency of high weight, and the material for retaining needs is compiled
Code tfidfI, j, as shown in formula IV:
tfidfi,j=tfi,j×idfj,i Ⅳ
The quantity of all materials is obtained above.
Step 4: constraint condition is set according to different purposes, to extract specific COM code or contain specific factor
It is required that COM code.
The setting of constraint condition specifically: set the total number of constraint condition as L, first carry out first using equality constraint
Secondary constraint is extracted, and equation is as shown in formula V:
hp(x)=0 V
Wherein, p be which constrain content, p=1,2 ... m (m < 0)；
It is further continued for using inequality constraints, inequality is as shown in formula VI:
gq(x)≤0 Ⅵ
Wherein, q is which constrains content, therefore q=1,2 ... m (m < 0)；
Further according to the property of constraint, selection uses geometrical constraint or boundary constraint.
Step 5: setting data sorting rule, the blending algorithm of selected sequence are ranked up, complete to different batches material
The evaluation of data.The blending algorithm of sequence includes repeating sort algorithm and algorithm of dividing and ruling.
Repeat detailed process when sort algorithm is ranked up are as follows: the repeatedly COM code of more adjacent sequence, once
Compare two COM codes, if the latter is less than the former, swaps COM code, compare by successive ignition, obtain most
Sequence eventually, until last time.
If being ranked up to N number of COM code, need to carry out N-1 comparison, and kth compare need to carry out N-K this
Compare, therefore, number of comparisons be (N-1)+(N-2)+...+1=N × (N-1)/2
Using following five COM code as example, the sequencer procedure of counterweight multiple bank sequence algorithm is described further.It chooses
Five COM codes are as follows:
500043487 500043481 500043493 500043475 500043498
Compare 500043487 and 500043481 for the first time, since 500043487 are greater than 500043481, the two is handed over
Change place obtains:
500043481 500043487 500043493 500043475 500043498
Compare 500043487 and 500043493 for the second time, since 500043487 less than 500043493, does not need
Exchange, remains unchanged；
Third time compares 500043493 and 500043475, and since 500043493 are greater than 500043475, the two is handed over
Change place obtains:
500043481 500043487 500043475 500043493 500043498
It by multiple sequence and iterates, until numerical value is discharged from small to large, and according to COM code, material is compiled
The corresponding all data of code all with its sequence, finally obtain:
500043475 500043481 500043487 500043493 500043498
For repeating sort algorithm, generally used when extracting the COM code of specific factor negligible amounts.
When numerical value is more, then algorithm progress quicksort of dividing and ruling, tool when algorithm of dividing and ruling is ranked up are selected
Body process are as follows: in COM code, select a material will be smaller than numerical value of dividing and ruling by algorithm of dividing and ruling as numerical value of dividing and ruling
COM code is put together, and the COM code bigger than numerical value of dividing and ruling is put together.If it is greater than or the numeric ratio that is less than it is more,
It can be repeated several times, first merge odd even ordering, reduced COM code quantity, then merge repetition sort algorithm again, be passed through
Iterative sequencing is repeated several times, finally numerical value is ranked up and is arranged.If, can be with according to letter and when a certain specific factor
It being ranked up according to should be alphabetical ABC, or a certain main points of setting specific factor, finally obtaining the sequence wanted.?
Extract COM code or other when putting, can by multiple blending algorithm (algorithm fusion of dividing and ruling repeats sort algorithm),
COM code quantity is reduced, the content needed is being extracted.
Using following ten COM codes as example, the sequencer procedure for algorithm of dividing and ruling is described further.
Ten COM codes chosen are as follows:
500043493 are chosen the numerical value smaller than 500043493 is put together by algorithm of dividing and ruling as numerical value of dividing and ruling,
Big numerical value is put together, is obtained:
Then sort algorithm is repeated in fusion, by iterative sequencing is repeated several times, finally numerical value is ranked up and is arranged.
The invention discloses a kind of evaluation method based on scattered data being combination constraint condition, the technical issues of solving, is wrapped
Include following several points:
(1) it solves to believe in the intensive work of material resources with a batch of material, the material of different batches, multiple batches of material etc.
Breath, a large amount of scattered data beings integrally, by classification, keyword, particular requirement and lifting sequence can not arrange the problem of arranging, summarizing.
(2) it solves to believe in the intensive work of material resources with a batch of material, the material of different batches, multiple batches of material etc.
Cease the problem of a large amount of scattered data beings can not extract corresponding data by material category, keyword, particular requirement and numerical value.
(3) it solves to believe in the intensive work of material resources with a batch of material, the material of different batches, multiple batches of material etc.
Cease the problem of a large amount of scattered data beings can not carry out data comparison.
(4) it solves to believe in the intensive work of material resources with a batch of material, the material of different batches, multiple batches of material etc.
Ceasing a large amount of scattered data beings can not be when multiple demand be set the problem of arrangement, extraction, correlation data.
(5) it solves to believe in the intensive work of material resources with a batch of material, the material of different batches, multiple batches of material etc.
It ceases a large amount of scattered data beings and can not inquire, handsome the problem of selecting and extracting common point.
(6) solve can not in the intensive work of material resources with a batch of material, the material of different batches, multiple batches of object
The information such as material carry out data real time monitoring, and information timely feedbacks, and user is reminded to carry out the operation of each step according to process.
It is compared by information-based intelligence, the variation in real-time monitoring data source is reminded user to operate, and clearly operated
Intelligent whole process business monitoring and prompting are made in journey and further work plan, allow user more efficiently finishing service operate, together
When improve timeliness and accuracy.
Meanwhile optimizing the production factors such as human and material resources, financial resources, management, unified configuration is carried out, multi-party resource is collected
In, unified configuration production factors, realize thrifty, constraint, be efficiently value orientation, so that reaching reduces cost, efficiently management, into
And make concentration of enterprises force at the core, obtain the advantage of Sustainable Competitiveness.
For the evaluation method disclosed in this invention based on scattered data being combination constraint condition, application range is very wide
It is general, it specifically includes:
In terms of plan management of materials and quipment, the present invention is docked with existing business, and torsion material demand plan proposes report passive situation.
First is that improving goods and materials standardizes achievement utility ratio, the plan of batch class is strictly reported using solidification ID, forbids the use of self-editing bidding documents；
Second is that careful system, apparent invention department, resources area responsibility in improving.Effectively prevent the case where misrepresenting deliberately, failing to report.Third is that
The maintenance for improving material batch problem safeguards that the specification of information is saved by intelligence, compares, and carries out pair according to condition
Than extracting data.
It honours an agreement supply side in goods and materials, present invention design, which realizes, takes the initiative in offering a hand.First is that done by information-based means with all strength
Good key project material supply guarantee, is intervened ahead of time, cooperates with invention department, combs company's key project material requirements, advanced to seek
Draw, overall arrangement production with call, watch close supply of material key link and timing node, accomplish problematic early discovery, early coordinate, early solve
Certainly；Second is that being delivered goods by intelligent reminding in strict accordance with the contractual delivery phase, invention unit cooperates with unit in charge of construction to provide drop-off location, real
In the engineering for not having the condition of receiving, by invention, department adjusts milestone plan, changes delivery date；Third is that strengthening the plan later period
Tracking, after invention department proposes report plan, resources area tracks allocation result in time, invention department answer positive coordinate design unit with
Supplier carries out business confirmation.
In terms of quality surveillance, the present invention inspects strategy by random samples according to provincial company differentiation first is that innovation sampling observation management mode, real
Row layering sampling observation.Second is that links are to quality after checking and accepting, putting into operation, run etc. in conjunction with invention department, unit in charge of construction, supervisor
Problem goods and materials relatively outstanding, periodically carry out supplier performance evaluation, qualification ability is verified, the appraisals such as " one single comment ",
True reflection supplier materials measurement, product quality, deal with temporarily in terms of level of honouring an agreement, participate in the assessment of bids for supplier and mention
For foundation.
In terms of warehousing management, the present invention reinforces the infrastructures such as base's warehouse logistics, informationization, gives full play to stored goods
Support guaranteeing role of the fluid system to material resources intensivization development, it is ensured that high quality completes warehouse logistics System Construction and promotes every appoint
Business.
In terms of risk prevention system ability, the present invention recognizes to be managed by strengthening, and upgrading proposes the job requirement of effect, stringent buying stream
It is weak to eliminate handling of goods and materials for the control that the implementation of journey, the execution for purchasing result, contract are honoured an agreement, each side, effective execution department responsibility
Point, it is ensured that rule are closed in purchase of goods and materials supply in accordance with the law.Reinforce management of bidding evaluation expert, it is ensured that adoption process " open, fair and impartial ".
In conclusion the present invention realizes information flow " interconnecting " and material supply stream " online collaboration ", by informationization
Means change existing handling of goods and materials mode.Based on " on-line early warning, augmentation data, automatically analyzes wisdom prompting ", realize
Handling of goods and materials overall process is visual, collaboration, intelligence, management focusing, wisdom operation, material resources intensive management optimization, take the lead in for
The ubiquitous Internet of Things construction in goods and materials field provides efficient, strong support guaranteeing role.
Above embodiment is not limitation of the present invention, and the present invention is also not limited to the example above, this technology neck
The variations, modifications, additions or substitutions that the technical staff in domain is made within the scope of technical solution of the present invention, also belong to this hair
Bright protection scope.
Claims (3)
1. a kind of evaluation method based on scattered data being combination constraint condition, it is characterised in that: the specific step of the evaluation method
Suddenly are as follows:
Step 1: firstly, the data progress typing of different batches material being used TextRank algorithm to extract all materials and being compiled
Code, as shown in formula I:
Wherein, WS indicates the COM code extracted；I and j indicates different batches；ViAnd VjIndicate object in the data of different batches
Expect group/cording quantity；VkIndicate COM code total quantity in the data of all batches；How many batch n indicates；D indicates damping system
Number determines and obtains stable value by successive ignition after damped coefficient；WjiIt is weight term, for indicating the difference between each batch
Significance level；There are how many a COM codes altogether in k expression；In indicates logarithm；Out indicates negative, eliminates；
Step 2: extracting all data under n COM code according to step 1, n material is extracted using TF algorithm after extraction
The coding frequency of occurrences is ranked up, as shown in formula II:
Wherein, tfI, jExpression is ranked up each COM code frequency of occurrences；There are how many a COM codes altogether in k expression；nI, jTable
Show the number that n COM code occurs in each batch；nK, jIndicate the number that n COM code occurs in all batches；
Step 3: extracting COM code tI, jIn batch nI, jThe number of middle appearance, then obtain by IDF algorithm the degree of importance
Amount, as shown in formula III:
Wherein, idfI, jIndicate the measurement of each COM code importance；| N | indicate COM code sum；dI, jIndicate i, j batch
The measurement of importance；|{i,j:ti,j∈di,j| it include COM code tI, jBatch size (nI, j≠ 0 batch number)；
Step 4: continuing the frequency of high material coding frequency and the COM code in all batch intersections, generate high
The TF-IDF of weight filters unwanted COM code using the TF-IDF tendency of high weight, retains the COM code of needs
tfidfI, j, as shown in formula IV:
tfidfi,j=tfi,j×idfj,i Ⅳ
The quantity of all materials is obtained above；
Step 4: constraint condition is set according to different purposes, to extract specific COM code or contain specific factor requirement
COM code；
Step 5: setting data sorting rule, the blending algorithm of selected sequence are ranked up, complete to different batches material data
Evaluation.
2. the evaluation method according to claim 1 based on scattered data being combination constraint condition, it is characterised in that: step 4
The setting of middle constraint condition specifically: set the total number of constraint condition as L, first carry out first time constraint using equality constraint
It extracts, equation is as shown in formula V:
hp(x)=0 V
Wherein, p be which constrain content, p=1,2 ... m (m < 0)；
It is further continued for using inequality constraints, inequality is as shown in formula VI:
gq(x)≤0 Ⅵ
Wherein, q is which constrains content, therefore q=1,2 ... m (m < 0)；
Further according to the property of constraint, selection uses geometrical constraint or boundary constraint.
3. the evaluation method according to claim 1 based on scattered data being combination constraint condition, it is characterised in that: step 5
The blending algorithm of middle sequence includes repeating sort algorithm and algorithm of dividing and ruling.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002333911A (en) * | 2001-05-08 | 2002-11-22 | Nippon Steel Corp | Method for making production plan |
| CN107526903A (en) * | 2017-09-30 | 2017-12-29 | 南阳师范学院 | Prescribed Properties permutation and combination encodes generating algorithm and MATLAB implementation methods |
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