CN108241932A - A kind of method for building up of electricity provider evaluation model - Google Patents
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Abstract
The present invention relates to a kind of method for building up more particularly to a kind of method for building up of electricity provider evaluation model.It includes designing supplier's System of Comprehensive Evaluation, comprehensive weight vector is carried out based on analytic hierarchy process (AHP) and introducing factor analysis to determine and by Field Using Fuzzy Comprehensive Assessment calculating supplier three key steps of comprehensive evaluation value, the method for building up of electricity provider evaluation model proposed by the present invention, both the subjectivity of group experts comprehensive knowledge had been considered, increase the diversity of system, it is contemplated that the practical property and objectivity of achievement data, have modified the deficiency of traditional fuzzy comprehensive evaluation so that entire evaluation system is more reasonable.In addition, supplier is divided into 9 different grades by the present invention according to supplier's comprehensive score, certain reference role can be provided for electric power enterprise Purchasing by Public Bidding, electric power enterprise goods and materials intensive management and operation is promoted to imitate.
Description
Technical field
The present invention relates to a kind of method for building up more particularly to a kind of method for building up of electricity provider evaluation model.
Background technology
Electric power enterprise bears the important task for fulfiling social responsibility, the structure of index system as pillar industry in national economy
Its social responsibility dimension index should be considered on the basis of traditional supplier's life cycle management by building；In addition, since electric power is looked forward to
Industry supplier has the characteristics that type is various, industry distribution is wide, supplier's difference is big, and supplier relationship management difficulty is caused to add
Greatly.Existing theoretical research relatively lays particular emphasis on the structure of index system and carries out synthesis to supplier with comprehensive evaluation and comments
Valency, but it is also fewer to the research of electric power enterprise supplier evaluation based on social responsibility angle, and current state's net has been formulated respectively
The assessment indicator system of type goods and materials, but it is the failure to realize effective linkage of evaluation result and bidding management, therefore, it is necessary to structures
Build perfect supplier's comprehensive evaluation model.
The research of forefathers is made a general survey of it can be found that they more carry out supplier using data that are Clear ＆ Transparent, easily quantifying
Overall merit, result have ignored ambiguity and uncertainty in supplier evaluation.In comparison, Field Using Fuzzy Comprehensive Assessment
Fuzzy mathematics thought is introduced into overall merit, has the characteristics that result is clear, systematicness is strong, preferably resolves fuzzy finger
Target quantification problem and index subjection degree metric question have electricity provider Comprehensive Evaluation Problem preferable suitable
The property used.
Invention content
In view of the above defects of the prior art, the present invention provides a kind of foundation of electricity provider evaluation model
Method manages real current situation from electricity provider, introduces corporate social responsibility factor, devise supplier's overall merit and refer to
Mark system, and the electricity provider evaluation model based on improved fuzzy comprehensive evaluation method is constructed, it is tested finally by sample calculation analysis
The validity and feasibility of model are demonstrate,proved.
The present invention is achieved by the following technical solution：A kind of method for building up of electricity provider evaluation model, packet
Include following steps：
First, design supplier System of Comprehensive Evaluation, based on the basic of comprehensive, typicalness, independence and practicability
Principle tentatively establishes supplier's comprehensive evaluation index body；
2nd, it carries out comprehensive weight vector based on analytic hierarchy process (AHP) and introducing factor analysis to determine, effectively improves model
Accuracy and applicability,
Subjective weight calculation based on analytic hierarchy process (AHP)：
(1) Recurison order hierarchy index system is built, each evaluation index of Power Material supplier is analyzed, obtains having and pass
The supplier evaluation index system of rank level characteristics；
(2) Judgement Matricies, using expert graded, to be under the jurisdiction of the index of same level about its corresponding upper one
The importance of layer index is compared two-by-two, and carries out importance judgement (1,3,5,7,9) using international 1-9 scales,
Judgment matrix group isM is the number of expert, and n is the exponent number of judgment matrix；
(3) weight calculation calculates maximum eigenvalue using geometric average approximation method and feature vector, weight vectors is：
To vectorDo normalized：
(4) consistency check according to the index relative weighting that (3) step obtains, carries out consistency check, and basis for estimation is
RI<0.1,
It is calculated based on the objective weight for introducing factor analysis：
(1) supplier's System of Comprehensive Evaluation based on structure, acquisition Power Material supplier sample data, and carry out
Standardization forms original index data set：
{ci1,ci2,…,cin, wherein i=1,2 ..., m (4)
(2) common factor is extracted, by covariance matrix, characteristic value and feature vector is calculated, is extracted according to variance contribution degree
Main gene usually chooses accumulative variance contribution degree and is more than 80%；
(3) factor rotation and factor parsing, pass through the factor loading coefficient of factor rotation method divergence common factor, enhancing
Key factor explanation strengths, factor rotation choose the orthogonal rotation of maximum variance；
(4) index weights are determinedEach factor score is calculated, maximum likelihood and least square method generally can be used to the factor
Score estimated, βjScore for each index；
Integrating weight vector calculation formula is：
According to the subjective weight and objective weight calculated, the comprehensive weight W=of each index is further determined that using normalization method
{w1,w2…,wj,
3rd, supplier's comprehensive evaluation value is calculated by Field Using Fuzzy Comprehensive Assessment, Field Using Fuzzy Comprehensive Assessment is based on overall merit
Index system, considers the subjectivity of things and objectivity parameter weight, and using fuzzy mathematics thought to things into
Row comprehensive evaluation, algorithm flow are as follows：
(1) factor of evaluation domain is established, destination layer domain U is expressed as U={ u1,u2,…,um, wherein m represents destination layer
Lower criterion number, rule layer domain are expressed as B={ b1,b2,…,bn, wherein n is expressed as the number of index factor under rule layer；
(2) alternative Comment gathers are determined, carry out classification processing to comprehensive score, use general " nine grades of systems " grading in the world
Symbolism, each grade are set as [AAA, AA, A, BBB, BB, B, CCC, CC, C]；
(3) fuzzy matrix for assessment is established, determines index subjection degree of each index of set of factors under alternative Comment gathers, referred to as
The degree of membership calculation formula of membership function k (x), direct index and negative index is：
Wherein, bjAnd bj+1Respectively two adjacent class boundaries values of criterion domain collection actual value, obtain to j grades of comments
For the degree of membership integrated as k (x), the degree of membership to j+1 grades of Comment gathers is 1-k (x), and 0 is then all to the degree of membership of remaining 7 rank,
Fuzzy matrix for assessment K is formed by membership vector；
(4) the index comprehensive weight vector calculated with reference to second step, COMPREHENSIVE CALCULATING fuzzy overall evaluation vector P；
P=W*K (9)
(5) comprehensive evaluation value S is calculated, wherein, D is each classification standard score, and supplier is integrated energy according to comprehensive score
Power is divided into different grades.
S=P*D (10)
The method for building up of electricity provider evaluation model proposed by the present invention, compared to traditional fuzzy comprehensive evaluation weight
Determine the shortcomings that subjective, the improved Field Using Fuzzy Comprehensive Assessment of use, i.e., using analytic hierarchy process (AHP) (Analytic
Hierarchy Process, AHP) and factor analysis (Factor Analysis, FA) parameter weight is introduced, and introduce
Fuzzy mathematics method calculates the comprehensive score of supplier；Both the subjectivity of group experts comprehensive knowledge had been considered, has increased system
Diversity, it is contemplated that the practical property and objectivity of achievement data, have modified the deficiency of traditional fuzzy comprehensive evaluation so that
Entire evaluation system is more reasonable.In addition, the present invention according to supplier's comprehensive score by supplier be divided into 9 it is different etc.
Grade can provide certain reference role for electric power enterprise Purchasing by Public Bidding, promote electric power enterprise goods and materials intensive management and fortune
Seek the promotion of benefit.
Description of the drawings
Fig. 1 is supplier's comprehensive evaluation index in the method for building up of electricity provider evaluation model described in the embodiment of the present invention
The schematic diagram of system；
Specific embodiment
Below by non-limiting embodiment and with reference to attached drawing, the present invention is further illustrated：
An embodiment of the present invention provides a kind of method for building up of electricity provider evaluation model, include the following steps：
First, design supplier System of Comprehensive Evaluation, based on the basic of comprehensive, typicalness, independence and practicability
Principle tentatively establishes supplier's comprehensive evaluation index body；It is specific as shown in Figure 1.
2nd, comprehensive weight vector is carried out based on analytic hierarchy process (AHP) and introducing factor analysis to determine.
The present embodiment nets the data of certain net provincial company electric energy meter material supply quotient using state, chooses in January, 2017 to 2017
Analysis object is in 12 suppliers of target in 3 months years, the assessment indicator system that foundation is built, altogether 12 electric energy meter suppliers of collection
16 two-level index detailed datas, all data are all from Company Electronic business platform system (ECP) and Enterprise Resource Management
System (ERP).
The synthesis weight vector of each index is calculated using AHP+FA combination weights methods, is invited in AHP analytic hierarchy process (AHP)s mutually powered-down
Power expert builds each index judgment matrix, and calculates feature vector using geometric average method and normalize to obtain subjective weight；The factor
The selection criteria of main gene is that accumulative variance contribution degree is more than 85% in analytic approach, by Factor load-matrix it can be found that the factor
Difference of the loading coefficient in each index is smaller, then carries out factor rotation using orthogonal rotation maximum variance, enhance key
The explanation strengths of the factor, it is last to show that the comprehensive weight of each index is shown in Table 1 according to comprehensive weight calculation formula.
1 supplier's index system comprehensive weight of table
It is pre-processed for collected data, according to nine grades of evaluation criterion values of nine grades of each indexs of gradation calculations, and
Degree of membership of each index value in each metrics evaluation standard value is calculated, by taking first hand supplier as an example, nine grades of total assets are commented
Price card standard is (308745.23,272111.89,235478.5,198845.19,162211.84,125578.49,25
88945.15,52311.79,15678.45), supplier's total assets be 16024.56, be located at two grades of C and CC it
Between, then acquire degree of membership K according to formula (9)1It is 0.99, K2=1-0.99=0.01, other membership functions are 0, then the supply
The membership vector of quotient's total assets is (0,0,0,0,0,0,0,0.01,0.99), similarly, can calculate the supplier each
Subordinated-degree matrix K in index is shown in Table 2.
The subordinated-degree matrix of 2 first hand supplier of table
For first hand supplier, according to degree of membership of each index weights and each index value calculated about nine grades of scales
Matrix can be calculated fuzzy overall evaluation vector P of the supplier in nine grades of scales by formula (11), be set in the present embodiment
Nine grades of scale score values are put as [100,90,80,70,60,50,40,30,20], the comprehensive score of the supplier may finally be obtained
It is 72.95.
The fuzzy overall evaluation vector P for calculating the supplier is shown in Table 3.
The fuzzy overall evaluation vector of 3 first hand supplier of table
| AAA | AA | A | BBB | BB | B | CCC | CC | C |
| 0.401 | 0.029 | 0.070 | 0.084 | 0.152 | 0.075 | 0.067 | 0.076 | 0.048 |
The final score of the supplier is S=P*D：72.95.Similarly, can be in the hope of the final score of all suppliers
More vivid each supplier evaluation grade of expression represents nine with vectorial [AAA, AA, A, BBB, BB, B, CCC, CC, C]
Grade can grade to it according to supplier's score, it is known that the grade of the supplier is A.Each supplier's comprehensive score and
Level condition is shown in Table 4.
4 each supplier's comprehensive score of table and grade
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 72.95 | 74.30 | 31.90 | 53.86 | 91.77 | 46.59 | 54.76 | 55.12 | 47.61 | 54.68 | 63.34 | 72.40 |
| A | A | CCC | BB | AAA | B | BB | BB | B | BB | BBB | A |
As shown in Table 4, this 12 supplier's integration capability situations are integrally relatively low, wherein, it is rated the supplier of AAA and A
4 are shared, grade there are 8 between BB-BBB, and be rated B has 2, respectively supplier 6 and 9, and be rated CCC has
1, be supplier 3.For grading, relatively low supplier further analyzes, and by taking supplier 3 as an example, finds its relatively low master that scores
Want reason relatively low for product qualification rate and service qualified rate, only respectively 78% and 89%, and charitable public good expenditure is 0, therefore,
If the supplier wants to win in calling for bid in next time, it is necessary to set about in terms of these three, improve product qualification rate and Service Quality
Amount increases public good expenditure, preferably fulfils corporate social responsibility.
The shortcomings that subjective is determined compared to traditional fuzzy comprehensive evaluation weight, and the present embodiment is counted using AHP+FA
Index weights are calculated, the subjectivity of group experts comprehensive knowledge had both been considered, and had increased the diversity of system, it is contemplated that index number
According to practical property and objectivity, have modified the deficiency of traditional fuzzy comprehensive evaluation so that entire evaluation system is more reasonable.
The foregoing is merely the specific embodiments of the present invention, are not intended to restrict the invention, for this field
For technical staff, the invention may be variously modified and varied.That is made all within the spirits and principles of the present invention is any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (1)
1. a kind of method for building up of electricity provider evaluation model, which is characterized in that include the following steps：
First, design supplier System of Comprehensive Evaluation, based on the basic principle of comprehensive, typicalness, independence and practicability,
Tentatively establish supplier's comprehensive evaluation index body；
2nd, it carries out comprehensive weight vector based on analytic hierarchy process (AHP) and introducing factor analysis to determine, effectively improves the accurate of model
Property and applicability,
Subjective weight calculation based on analytic hierarchy process (AHP)：
(1) Recurison order hierarchy index system is built, each evaluation index of Power Material supplier is analyzed, obtains having and passs stratum
The supplier evaluation index system of secondary feature；
(2) Judgement Matricies using expert graded, refer to the index for being under the jurisdiction of same level about its corresponding last layer
Target importance is compared two-by-two, and carries out importance judgement (1,3,5,7,9) using international 1-9 scales, is judged
Matrix group isM is the number of expert, and n is the exponent number of judgment matrix；
(3) weight calculation calculates maximum eigenvalue using geometric average approximation method and feature vector, weight vectors is：
To vectorDo normalized：
(4) consistency check according to the index relative weighting that (3) step obtains, carries out consistency check, basis for estimation RI<
0.1,
It is calculated based on the objective weight for introducing factor analysis：
(1) supplier's System of Comprehensive Evaluation based on structure, acquisition Power Material supplier sample data, rower standard of going forward side by side
Change is handled, and forms original index data set：
{ci1,ci2,…,cin, wherein i=1,2 ..., m (4)
(2) common factor is extracted, by covariance matrix, calculates characteristic value and feature vector, main cause is extracted according to variance contribution degree
Son usually chooses accumulative variance contribution degree and is more than 80%；
(3) factor rotation and factor parsing, by the factor loading coefficient of factor rotation method divergence common factor, enhancing is crucial
Factor explanation strengths, factor rotation choose the orthogonal rotation of maximum variance；
(4) index weights are determinedEach factor score is calculated, maximum likelihood and least square method generally can be used to factor score
Estimated, βjScore for each index；
Integrating weight vector calculation formula is：
According to the subjective weight and objective weight calculated, the comprehensive weight W={ w of each index are further determined that using normalization method1,
w2…,wj,
3rd, supplier's comprehensive evaluation value is calculated by Field Using Fuzzy Comprehensive Assessment, Field Using Fuzzy Comprehensive Assessment is based on comprehensive evaluation index
System considers the subjectivity of things and objectivity parameter weight, and comprehensive to things progress using fuzzy mathematics thought
The evaluation of conjunction property, algorithm flow are as follows：
(1) factor of evaluation domain is established, destination layer domain U is expressed as U={ u1,u2,…,um, wherein m represents accurate under destination layer
Then number, rule layer domain are expressed as B={ b1,b2,…,bn, wherein n is expressed as the number of index factor under rule layer；
(2) alternative Comment gathers are determined, carry out classification processing to comprehensive score, use general " nine grades of systems " grading symbol in the world
System, each grade are set as [AAA, AA, A, BBB, BB, B, CCC, CC, C]；
(3) fuzzy matrix for assessment is established, index subjection degree of each index of set of factors under alternative Comment gathers is determined, is known as being subordinate to
The degree of membership calculation formula of function k (x), direct index and negative index is：
Wherein, bjAnd bj+1Respectively two adjacent class boundaries values of criterion domain collection actual value, obtain the person in servitude to j grades of Comment gathers
Category degree is k (x), and the degree of membership to j+1 grades of Comment gathers is 1-k (x), 0 is then all to the degree of membership of remaining 7 rank, by being subordinate to
Degree vector composition fuzzy matrix for assessment K；
(4) the index comprehensive weight vector calculated with reference to second step, COMPREHENSIVE CALCULATING fuzzy overall evaluation vector P；
P=W*K (9)
(5) comprehensive evaluation value S is calculated, wherein, D is each classification standard score, divides supplier's integration capability according to comprehensive score
For different grades.
S=P*D (10)
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| CN108921438A (en) * | 2018-07-10 | 2018-11-30 | 国网福建省电力有限公司 | A kind of power distribution network regulation and administration weak link identification method based on cascade weight |
| CN109118250A (en) * | 2018-08-13 | 2019-01-01 | 北京科东电力控制系统有限责任公司 | Electricity market main body act of unfair competition evaluation method and device |
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