CN109002911A - A kind of automobile back door frame processing technology programme appraisal procedure of Oriented Green manufacture - Google Patents
A kind of automobile back door frame processing technology programme appraisal procedure of Oriented Green manufacture Download PDFInfo
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Abstract
The present invention provides a kind of automobile back door frame processing technology programme appraisal procedures of Oriented Green manufacture.Characteristic set, feasible automobile back door frame processing technology programme set and its characterizing magnitudes matrix of automobile back door frame processing technology programme under green manufacturing background are constructed first；The Classical field matter-element, section domain matter-element and matter-element to be evaluated of the assessment of automobile back door frame processing technology programme are established after characterizing magnitudes matrix is normalized；To each matter-element to be evaluated, correlation function matrix is calculated, D-S theory is established and distinguishes frame and convert basic probability assignment Jacobian matrix for correlation function matrix, calculate the relative Link Importance of each feature, it is merged using all features as evidence, obtains evaluation grade belonging to matter-element to be evaluated；To the multiple matter-elements to be evaluated for belonging to same evaluation grade, compare its superiority and inferiority, finally obtains the assessment result of all matter-elements to be evaluated, i.e., the assessment result of feasible automobile back door frame processing technology programme.
Description
Technical field
The present invention relates to automobile back door frame processing technology programme evaluation areas, specially a kind of Oriented Green manufacture
Automobile back door frame processing technology programme appraisal procedure.
Background technique
Car door is to provide the channel of discrepancy vehicle for driver and passenger, and completely cut off outside vehicle and interfere, and is subtracted to a certain extent
Light side impact protects occupant.Automobile back door frame is the important component of arrangements for automotive doors, processing technology planning always by
The concern of manufacturing enterprise.Under the international situation that sustainable development is increasingly taken seriously, green manufacturing is examined as a kind of synthesis
The contemporary manufacturing mode for considering environment influence and resource consumption, is body of the human social strategy in modern manufacturing industry
It is existing.In the Life cycle of automobile back door frame, processing technology planning is the bridge that connection designs and manufactures.In actual automobile
In rear door frame production process, there are multiple feasible processing technology programmes, and suitable processing technology programme can be
Manufacturing enterprise saves a large amount of time and cost, moreover it is possible to reduce influence of the manufacturing process to environment, improve the competitiveness of enterprise.?
In the technological design of automobile back door frame, technology characteristics and processing method have complicated mapping relations, and technological design is former in addition
The changeability of polymorphism and manufacturing recourses state then, so that the assessment of multiple processing technology programmes becomes automobile back door frame
Key and problem in technological design.Therefore, how multiple feasible automobile back door frame processing technology programmes are commented
Estimate, is of great significance to the green of raising process planning, realization green manufacturing.
The assessment of automobile back door frame processing technology programme substantially belongs to multiple features decision problem.Existing method (is such as forced
Nearly ideal solution sequence, analytic hierarchy process (AHP) etc.) need to provide the different degree of each feature, reasonable different degree directly influences result
Validity, and the planning of automobile back door frame processing technology itself has diversity, complexity, the empirical and properties such as uncertain,
It is difficult to define one group of different degree that is appropriate and being of practical significance.These reasons comment automobile back door frame processing technology programme
The solution of middle characteristic importance is estimated with very strong uncertainty, it is difficult to guarantee the validity of result；Meanwhile green manufacturing background
There are a degree of incompatibilities between multiple features of lower automobile back door frame processing technology programme, how to handle this
Incompatibility is also the key of automobile back door frame processing technology programme assessment.
Extension science is the new disciplines across philosophy, mathematics and engineering, to solve the uncertain, more of assessment object
The problems such as sample, incompatibility.Extensive analysis is the focus on the application method of extension science, and this method is with matter-element theory and Region place value
By as theoretical frame, basic thought is the Classical field matter-element for establishing things, section domain matter-element and matter-element to be evaluated, and according to reality
Data calculate correlation function of the matter-element to be evaluated about evaluation grade, so that the classification and pattern-recognition for things provide one kind newly
Approach.Extensive analysis effectively contradictory problems present in things can be converted to it is compatible, to reduce each in D-S theory
Conflict between a evidence optimizes evidence fusion result.Therefore, the advantage of the present invention comprehensive extensive analysis and D-S theory, and
Comprehensively consider when solving characteristic importance between feature to specific strength and conflicting, to more completely reflect the competition between feature
Relationship provides a kind of automobile back door frame processing technology programme appraisal procedure of Oriented Green manufacture.
Summary of the invention
To solve the automobile back door frame processing technology programme evaluation problem under green manufacturing background, synthesis of the present invention can
The advantage of extension analysis and D-S theory, and comprehensively consider when solving characteristic importance between feature to specific strength and conflicting, from
And more completely reflect the competitive relation between feature, provide a kind of automobile back door frame processing technology planning of Oriented Green manufacture
Scheme evaluation method.
The technical scheme is that
A kind of automobile back door frame processing technology programme appraisal procedure of the Oriented Green manufacture, it is characterised in that:
Include the following steps:
(1) characteristic set for constructing automobile back door frame processing technology programme under green manufacturing background is I={ I1,
I2,…,In, use IiIndicate the ith feature in I, i=1,2 ..., n, here n=5, I1、I2、…、InWhen successively indicating processing
Between, processing quality, processing cost, resource consumption, environment influence；I1And I3For quantitative characteristic, magnitude can be directly determined；I2、I4
And I5For qualitative features, by expert after investigation by " it is poor: 0.2, it is poor: 0.4, it is medium: 0.6, it is preferable: 0.8, good: 1.0 " provide
Specific scoring is used as magnitude；
The collection for constructing feasible automobile back door frame processing technology programme is combined into S={ S1,S2,…,Sh, use SqIndicate S
In q-th of scheme, q=1,2 ..., h；
The characterizing magnitudes matrix for constructing feasible automobile back door frame processing technology programme is s=(sq,i)h×n, wherein
sq,iExpression scheme SqIn feature IiOn magnitude；For cost type feature, pressTo sq,iCarry out normalizing
Change processing；For profit evaluation model feature, pressTo sq,iIt is normalized；After obtaining feasible automobile
The normalization characteristic magnitude matrix of doorframe processing technology programme is s '=(s 'q,i)h×n；
(2) according to the normalization characteristic magnitude matrix s ' of feasible automobile back door frame processing technology programme=
(s′q,i)h×n, the Classical field matter-element, section domain matter-element and object to be evaluated of the assessment of automobile back door frame processing technology programme are established respectively
Member:
(2.1) the Classical field matter-element of automobile back door frame processing technology programme assessment is establishedWherein N indicates " assessment of automobile back door frame processing technology programme " this thing
Object, NjIndicate j-th of evaluation grade of N, j=1,2 ..., l；vj,i=[aj,i,bj,i] indicate NjCorresponding to feature IiMagnitude area
Between, hereWherein
(2.2) the section domain matter-element of automobile back door frame processing technology programme assessment is establishedNpIndicate all evaluation grades of N, vp,i=[ap,i,bp,i] it is NpCorresponding to feature
IiMagnitude section, hereWherein
(2.3) matter element set to be evaluated for establishing the assessment of automobile back door frame processing technology programme is combined into R0,q={ R0,1,R0 ,2,...,R0,h, for matter-element R to be evaluated0,q, q=1,2 ..., h haveWherein N0,qIt indicates
Matter-element R to be evaluated0,qUnknown evaluation grade,For R0,qIn feature IiOn magnitude,For R0,qMagnitude to
Amount；
(3) for matter-element R to be evaluated0,q, calculate correlation function matrixWherein For
Matter-element R to be evaluated0,qMagnitudeWith two section " vj,i=[aj,i,bj,i] and vp,i=[ap,i,bp,i] " correlation function, indicate
Matter-element R to be evaluated0,qIn feature IiOn be under the jurisdiction of evaluation grade NjDegree；
Here
(4) for matter-element R to be evaluated0,q, q=1,2 ..., h establish D-S theory and distinguish frame Θ, by correlation function matrixIt is converted into basic probability assignment Jacobian matrix
(4.1) for matter-element R to be evaluated0,q, establish D-S theory and distinguish frame Θ={ θ1, θ2,...,θl, wherein θ1,
θ2,...,θlSuccessively indicate l evaluation grade of automobile back door frame processing technology programme；Distinguish substantially general on frame Θ
Rate assignment function is usedIt indicates, wherein i=1,2 ..., n, j=1,2 ..., l；
(4.2) by matter-element R to be evaluated0,qCorrelation function matrixIt is converted into and distinguishes substantially general on frame Θ
Rate assignment function matrixWherein
(5) for matter-element R to be evaluated0,q, calculate the relative Link Importance of each feature:
(5.1) standard deviation of feature i is calculated
(5.2) related coefficient of two features i and h are calculatedIts
Middle i, h=1,2 ..., n and i ≠ h；
(5.3) conflicting of feature i and remaining feature are calculated
(5.4) different degree of feature i is calculatedWhereinIndicate that feature i is included
Information content, and then the different degree vector for obtaining each feature is
(5.5) relative Link Importance of feature i is calculatedThe then relative Link Importance of each feature
Vector is
(6) for matter-element R to be evaluated0,q, merged using n feature as evidence, obtain R0,qAssessment result:
(6.1) to basic probability assignment functionIt improves, improved basic probability assignment function is used
It indicates, improved method are as follows: work as θjWhen ≠ Θ, haveWork as θjWhen=Θ, have
(6.2) forFusion rule is
Wherein M0,qIt (A) is fused basic probability assignment function；ε0,qFor normaliztion constant,
(6.3) M is calculated separately out0,q(θ1)、M0,q(θ2)、…、M0,q(θl), enable M0,q(θj′)=max { M0,q(θ1),M0,q
(θ2),...,M0,q(θl), wherein j '=1,2 ..., l, then matter-element R to be evaluated0,qBelong to evaluation grade Nj′；
(7) step (3)-(6) are repeated, all matter-element R to be evaluated are obtained0,1,R0,2,...,R0,hAssessment result；If to be evaluated
Matter-element R0,qAnd R0,q′Jth ' grade is belonged to, then is comparedWithSize: ifThen R0,qBetter than R0,q′；IfThen R0,qIt is inferior to R0,q′；
IfThen R0,qAnd R0,q′Same superiority and inferiority.
The beneficial effects of the present invention are:
(1) construct automobile back door frame processing technology programme characteristic set when, except process time, processing quality,
Except processing cost, it is also contemplated that resource consumption, environment influence, and have fully demonstrated automobile back door frame processing technology programme
It is endless to overcome Feature Selection present in the assessment of automobile back door frame processing technology programme for green, Significance of Sustainable Development
Whole problem；
(2) there may be incompatibilities between the feature of automobile back door frame processing technology programme, using extensive analysis
Classical field matter-element, section domain matter-element, matter-element to be evaluated and correlation function this incompatibility is converted to compatible, reduce D-S reason
Conflict between each evidence, optimization evidence fusion is as a result, overcome the assessment of automobile back door frame processing technology programme
Present in the problem of feature is incompatible, evidences conflict；
(3) when solving the characteristic importance of automobile back door frame processing technology programme, using CRITIC method, synthesis is examined
Considered between feature to specific strength and conflicting, can more completely reflect the competitive relation between feature, overcome automobile back door frame
Characteristic importance present in the assessment of processing technology programme solves improper problem；
(4) this method is easily programmed realization using simplicity.
Detailed description of the invention
Fig. 1 is a kind of automobile back door frame processing technology programme appraisal procedure of Oriented Green manufacture provided by the invention
Flow chart.
Fig. 2 is 4 kinds of feasible automobile back door frame processing technologys of certain automobile back door frame manufacturing enterprise in the embodiment of the present invention
Programme.
Specific embodiment
The description present invention combined with specific embodiments below, so that advantages and features of the invention can be easier to by this field skill
Art personnel understanding, so as to make a clearer definition of the protection scope of the present invention.
Embodiment:
To automobile back door frame manufacturing enterprise of Mr. Yu family, feasible automobile back door frame processing technology programme has 4 kinds, such as attached
Shown in Fig. 2.
Implementation steps are as follows:
(1) characteristic set for constructing automobile back door frame processing technology programme under green manufacturing background is I={ I1,
I2,…,In, use IiIndicate the ith feature in I, i=1,2 ..., n, here n=5, I1、I2、…、InWhen successively indicating processing
Between, processing quality, processing cost, resource consumption, environment influence；I1And I3For quantitative characteristic, magnitude can be directly determined；I2、I4
And I5For qualitative features, by expert after investigation by " it is poor: 0.2, it is poor: 0.4, it is medium: 0.6, it is preferable: 0.8, good: 1.0 " provide
Specific scoring is used as magnitude；
The collection for constructing feasible automobile back door frame processing technology programme is combined into S={ S1,S2,…,Sh, use SqIndicate S
In q-th of scheme, q=1,2 ..., h, h=4 here；
The characterizing magnitudes matrix for constructing feasible automobile back door frame processing technology programme is s=(sq,i)h×n, wherein
sq,iExpression scheme SqIn feature IiOn magnitude, it is as shown in the table:
| I1(h) | I2 | I3(member) | I4 | I5 | |
| S1 | 60 | 0.6 | 8200 | 0.2 | 0.2 |
| S2 | 65 | 0.4 | 8800 | 0.2 | 0.6 |
| S3 | 56 | 0.6 | 7300 | 0.2 | 0.2 |
| S4 | 70 | 0.4 | 8000 | 0.8 | 0.8 |
For cost type feature I1And I3, pressTo sq,iIt is normalized；For profit evaluation model
Feature I2、 I4And I5, pressTo sq,iIt is normalized；Obtain feasible automobile back door frame processing
The normalization characteristic magnitude matrix of process planning scheme is s '=(s 'q,i)h×n, it is as shown in the table:
| I1 | I2 | I3 | I4 | I5 | |
| S1 | 0.9333 | 1.0000 | 0.8902 | 0.2500 | 0.2500 |
| S2 | 0.8615 | 0.6667 | 0.8295 | 0.2500 | 0.7500 |
| S3 | 1.0000 | 1.0000 | 1.0000 | 0.2500 | 0.2500 |
| S4 | 0.8000 | 0.6667 | 0.9125 | 1.0000 | 1.0000 |
(2) according to the normalization characteristic magnitude matrix s ' of feasible automobile back door frame processing technology programme=
(s′q,i)h×n, the Classical field matter-element, section domain matter-element and object to be evaluated of the assessment of automobile back door frame processing technology programme are established respectively
Member:
(2.1) the Classical field matter-element of automobile back door frame processing technology programme assessment is establishedWherein N indicates " assessment of automobile back door frame processing technology programme " this thing
Object, NjIndicate j-th of evaluation grade of N, j=1,2 ..., l take l=4, evaluation grade N here1、N2、N3、N4It successively indicates to close
It is lattice, general, good, excellent；vj,i=[aj,i,bj,i] indicate NjCorresponding to feature IiMagnitude section, hereWhereinHave:
(2.2) the section domain matter-element of automobile back door frame processing technology programme assessment is establishedNpIndicate all evaluation grade N of N1、N2、N3、N4, vp,i=[ap,i,bp,i] it is Np
Corresponding to feature IiMagnitude section, hereWherein
Have:
(2.3) matter element set to be evaluated for establishing the assessment of automobile back door frame processing technology programme is combined into R0,q={ R0,1,R0 ,2,...,R0,h, for matter-element R to be evaluated0,q, q=1,2 ..., h, h=4, has hereIts
Middle N0,qIndicate matter-element R to be evaluated0,qUnknown evaluation grade,For R0,qIn feature IiOn magnitude,For R0 ,qMagnitude vector；Have:
(3) for matter-element R to be evaluated0,1, calculate correlation function matrixWherein For to
Comment matter-element R0,1MagnitudeWith two section " vj,i=[aj,i,bj,i] and vp,i=[ap,i,bp,i] " correlation function, indicate to
Comment matter-element R0,1In feature IiOn be under the jurisdiction of evaluation grade NjDegree；This
InHave:
(4) for matter-element R to be evaluated0,1, establish D-S theory and distinguish frame Θ, by correlation function matrixConversion
For basic probability assignment Jacobian matrix
(4.1) for matter-element R to be evaluated0,1, establish D-S theory and distinguish frame Θ={ θ1,θ2,...,θl, wherein θ1,
θ2,...,θlSuccessively indicate l evaluation grade of automobile back door frame processing technology programme；Distinguish substantially general on frame Θ
Rate assignment function is usedIt indicates, wherein i=1,2 ..., n, j=1,2 ..., l；
(4.2) by matter-element R to be evaluated0,1Correlation function matrixIt is converted into the elementary probability distinguished on frame Θ
Assignment function matrixWhereinHave:
(5) for matter-element R to be evaluated0,1, the different degree vector for calculating each feature is ω0,1=[0.1745 0.2745
0.1461 0.2024 0.2024], and then the relative Link Importance vector of each feature is calculated as μ0,1=[0.6358 1.0000
0.5320 0.7375 0.7375]；
(6) for matter-element R to be evaluated0,1, merged using n feature as evidence, obtain R0,1Assessment result:
(6.1) to basic probability assignment functionIt improves, improved basic probability assignment function is used
It indicates, improved method are as follows: work as θjWhen ≠ Θ, haveWork as θjWhen=Θ, have
Have:
(6.2) forFusion rule isWherein
M0,1It (A) is fused basic probability assignment function；ε0,1For normaliztion constant,
(6.3) it calculates separately out: M0,1(θ1)=0.4773, M0,1(θ2)=0.1705, M0,1(θ3)=0.1701, M0,1
(θ4)=0.1821, M0,1(θj′)=max { M0,1(θ1),M0,1(θ2),M0,1(θ3),M0,1(θ4)=M0,1(θ1), then matter-element to be evaluated
R0,1Belong to evaluation grade N1, i.e. S1For N1: it is qualified；
(7) step (3)-(6) are repeated, R is obtained0,2,R0,3,R0,4Assessment result, have:
M0,2(θ1)=0.7198, M0,2(θ2)=0.1503, M0,2(θ3)=0.0983, M0,2(θ4)=0.0316；
M0,3(θ1)=0.3905, M0,3(θ2)=0.0629, M0,3(θ3)=0.0645, M0,3(θ4)=0.4821；
M0,4(θ1)=0.4238, M0,4(θ2)=0.0724, M0,4(θ3)=0.0722, M0,4(θ4)=0.4315；
Therefore R0,2Belong to evaluation grade N1, R0,3Belong to evaluation grade N4, R0,4Belong to evaluation grade N4；That is S2For N1: it is qualified,
S3For N4: excellent, S4For N4: it is excellent；
S1And S2It is N1: it is qualified, andTherefore R0,1Better than R0,2,
That is S1Better than S2；
S3And S4For N4: it is excellent, andTherefore R0,3Better than R0,4, i.e. S3
Better than S4。
Claims (1)
1. a kind of automobile back door frame processing technology programme appraisal procedure of Oriented Green manufacture, it is characterised in that: including such as
Lower step:
(1) characteristic set for constructing automobile back door frame processing technology programme under green manufacturing background is I={ I1,I2,…,
In, use IiIndicate the ith feature in I, i=1,2 ..., n, here n=5, I1、I2、…、InIt successively indicates process time, add
Working medium amount, processing cost, resource consumption, environment influence；I1And I3For quantitative characteristic, magnitude can be directly determined；I2、I4And I5For
Qualitative features, by expert after investigation by " it is poor: 0.2, it is poor: 0.4, it is medium: 0.6, it is preferable: 0.8, good: 1.0 " provide and specifically comment
It is allocated as magnitude；
The collection for constructing feasible automobile back door frame processing technology programme is combined into S={ S1,S2,…,Sh, use SqIt indicates in S
Q-th of scheme, q=1,2 ..., h；
The characterizing magnitudes matrix for constructing feasible automobile back door frame processing technology programme is s=(sq,i)h×n, wherein sq,iTable
Show scheme SqIn feature IiOn magnitude；For cost type feature, pressTo sq,iIt is normalized；
For profit evaluation model feature, pressTo sq,iIt is normalized；Obtain feasible automobile back door frame processing
The normalization characteristic magnitude matrix of process planning scheme is s '=(s 'q,i)h×n。
(2) according to normalization characteristic magnitude matrix s '=(s ' of feasible automobile back door frame processing technology programmeq,i)h×n,
The Classical field matter-element, section domain matter-element and matter-element to be evaluated of the assessment of automobile back door frame processing technology programme are established respectively:
(2.1) the Classical field matter-element of automobile back door frame processing technology programme assessment is establishedWherein N indicates " assessment of automobile back door frame processing technology programme " this thing
Object, NjIndicate j-th of evaluation grade of N, j=1,2 ..., l；vj,i=[aj,i,bj,i] indicate NjCorresponding to feature IiMagnitude area
Between, hereWherein
(2.2) the section domain matter-element of automobile back door frame processing technology programme assessment is establishedNpIndicate all evaluation grades of N, vp,i=[ap,i,bp,i] it is NpCorresponding to feature
IiMagnitude section, hereWherein
(2.3) matter element set to be evaluated for establishing the assessment of automobile back door frame processing technology programme is combined into R0,q={ R0,1,R0,2,...,
R0,h, for matter-element R to be evaluated0,q, q=1,2 ..., h haveWherein N0,qIndicate object to be evaluated
First R0,qUnknown evaluation grade,For R0,qIn feature IiOn magnitude,For R0,qMagnitude vector.
(3) for matter-element R to be evaluated0,q, calculate correlation function matrixWhereinIt is to be evaluated
Matter-element R0,qMagnitudeWith two section " vj,i=[aj,i,bj,i] and vp,i=[ap,i,bp,i] " correlation function, indicate it is to be evaluated
Matter-element R0,qIn feature IiOn be under the jurisdiction of evaluation grade NjDegree；Here
(4) for matter-element R to be evaluated0,q, q=1,2 ..., h establish D-S theory and distinguish frame Θ, by correlation function matrixIt is converted into basic probability assignment Jacobian matrix
(4.1) for matter-element R to be evaluated0,q, establish D-S theory and distinguish frame Θ={ θ1,θ2,...,θl, wherein θ1,θ2,...,θl
Successively indicate l evaluation grade of automobile back door frame processing technology programme；Distinguish the basic probability assignment letter on frame Θ
Number is usedIt indicates, wherein i=1,2 ..., n, j=1,2 ..., l；
(4.2) by matter-element R to be evaluated0,qCorrelation function matrixIt is converted into the basic probability assignment distinguished on frame Θ
Jacobian matrixWherein
(5) for matter-element R to be evaluated0,q, calculate the relative Link Importance of each feature:
(5.1) standard deviation of feature i is calculated
(5.2) related coefficient of two features i and h are calculatedWherein i, h
=1,2 ..., n and i ≠ h；
(5.3) conflicting of feature i and remaining feature are calculated
(5.4) different degree of feature i is calculatedWhereinIndicate the information that feature i is included
Amount, and then the different degree vector for obtaining each feature is
(5.5) relative Link Importance of feature i is calculatedThen the relative Link Importance vector of each feature is
(6) for matter-element R to be evaluated0,q, merged using n feature as evidence, obtain R0,qAssessment result:
(6.1) to basic probability assignment functionIt improves, improved basic probability assignment function is usedIt indicates,
Improved method are as follows: work as θjWhen ≠ Θ, haveWork as θjWhen=Θ, have
(6.2) forFusion rule is
Wherein M0,qIt (A) is fused basic probability assignment function；ε0,qFor normaliztion constant,
(6.3) M is calculated separately out0,q(θ1)、M0,q(θ2)、…、M0,q(θl), enable M0,q(θj′)=max { M0,q(θ1),M0,q
(θ2),...,M0,q(θl), wherein j '=1,2 ..., l, then matter-element R to be evaluated0,qBelong to evaluation grade Nj′。
(7) step (3)-(6) are repeated, all matter-element R to be evaluated are obtained0,1,R0,2,...,R0,hAssessment result；If matter-element to be evaluated
R0,qAnd R0,q′Jth ' grade is belonged to, then is comparedWithSize: ifThen R0,qBetter than R0,q′；IfThen R0,qIt is inferior to R0,q′；
IfThen R0,qAnd R0,q′Same superiority and inferiority.
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