CN109064027A - Sorting device method for evaluating quality based on AHP and QFD - Google Patents
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Abstract
The invention discloses a kind of sorting device method for evaluating quality based on AHP and QFD, include the following steps: (1) sorting device customized demand Establishing；(2) analytic hierarchy process (AHP) (AHP) is used, determines items user demand weight；(3) mass property and its target value are determined；(4) it introduces comparative apparatus and carries out expert estimation assessment；(5) combine above-mentioned steps in as a result, with quality function deployment (QFD) tools build Planning Model for House of Quality (HOQ)；(6) calculated result for combining above-mentioned steps carries out market competitiveness assessment to two comparison sorting devices and technical capability is assessed, and proposes that sorting device customizes quality improvement direction.Present invention combination AHP and QFD method, can convert design requirement for user demand, improve the user satisfaction of personalized customization, and have stronger operability and versatility.
Description
Technical field
The invention belongs to quality engineering technical fields, concretely relate to a kind of sorting device matter based on AHP and QFD
Measure appraisal procedure.
Background technique
In modern enterprise manufacturing process, the satisfied core objective for having become Quality Strategy of Enterprises of user and quality are set
The important foundation of meter.With the diversification of user demand, the core that personalized customization mode has been increasingly becoming manufacturing enterprise is competing
Strive power.Around personalized customization equipment designing quality issue of improvement, distinct methods are applied.
In modern technologies, it is quantitatively evaluated for the integration capability of non-standard equipment supplier, with the method for network analysis,
Macro coordination ability, technique and processing sequence, manufacture are processed respectively by establishing prediction model, Optimized model, Coordination Model
Ability is analyzed；Modularization and adaptable design technology combine the exploitation to realize non-standard equipment new product；Pass through quality
Function is unfolded (QFD) and obtains correlativity between mass property, solves with system innovation method (SIT) to negative relationship,
It is a kind of effective design innovative solution；In conjunction with the comprehensive designing method of QFD, TRIZ theory and Taguchi's method
Quality Innovation design equally may be implemented.Basic function and auxiliary in Product Design Quality are established with analytic hierarchy process (AHP) (AHP)
Each element hierarchical model such as function, is calculated each element weight distribution coefficient.But these methods can not need user
It asks and is converted into design requirement, be not avoided that influence of the subjective experience to user requirement evaluation.
Summary of the invention
It is an object of the invention to overcome disadvantages mentioned above and design requirement can be converted for user demand by providing one kind, mention
The sorting device method for evaluating quality based on AHP and QFD of the user satisfaction of high individual customization.
A kind of sorting device method for evaluating quality based on AHP and QFD of the invention, includes the following steps:
(1) automatic sorting apparatus customized demand Establishing: start with from the most basic demand of user is met, determine automatic sorting
Device customizing user demand index；Establish automatic sorting apparatus customized demand recursive hierarchy structure system；
(2) it determines every user demand weight: using analytic hierarchy process (AHP) (AHP), determine each user demand phase of each level
The weight coefficient of the opposite general objective layer of weight coefficient and each user demand of the bottom for upper level user demand；
(3) mass property and its target value are determined: converting engineering design language for user requirements language, is chosen and automatic
The closely related mass property of sorting device customized user demand according to user demand survey data and combines relevant criterion,
The target value of reasonable analysis items mass property；
(4) it introduces comparative apparatus and carries out expert estimation assessment: introducing the automatic sorting apparatus for needing quality improvement and same
Outstanding equipment in class product carries out expert to two comparative apparatus in conjunction with user demand and mass property target value and assesses marking；
(5) with quality function deployment (QFD) building Planning Model for House of Quality (HOQ): in conjunction in above-mentioned steps as a result, with quality
(QFD) tools build Planning Model for House of Quality (HOQ) is unfolded in function；
(6) analysis is compared to two comparative apparatus: in conjunction with the calculated result of above-mentioned steps, two comparison automatic sortings is set
It is standby to carry out market competitiveness assessment and technical capability assessment, and propose that automatic sorting apparatus customizes quality improvement direction.
The above-mentioned sorting device method for evaluating quality based on AHP and QFD, in which: the automatic sorting in the step (1) is set
Standby customized demand recursive hierarchy structure system: first layer is automatic sorting apparatus customization aggregate demand；The second layer is by automatic sorting
Device customizing aggregate demand falls into 5 types a point demand: economy, quality, performance, efficiency, brand；Third layer is the refinement of 5 class point demands
User demand.
The above-mentioned sorting device method for evaluating quality based on AHP and QFD, in which: dividing in the step (2) with level
Analysis method (AHP) determines items user demand weight, comprising the following steps:
1) subordinate relation in demand system between each element is analyzed, the recursive hierarchy structure of demand system is established；
2) weight judgment matrix is constructed to element a certain in the relatively upper level of each element in same level；By judgment matrix
Calculate the relative weighting of the relatively upper one layer of element of this layer of each element；Expert graded is used in Judgement Matricies；
The expert graded is a kind of qualitative description quantitative method, uses 1-9 grades of different degree scaling laws in contrast with
Indicate that demand i and demand j is of equal importance compared with every user demand different degree assignment -1 in judgment matrix；3 indicate demand i ratio
Demand j is slightly important；5 indicate that demand i is obviously more important than demand j；7 indicate that demand i is strongly more important than demand j；9 indicate demand i
It is more extremely important than demand j；2, the median of 4,6,8 adjacent two judgements；1/3,1/5,1/7,1/9 the reverse comparison of two comparative runs is indicated
Result；
3) to every layer of judgment matrix list weight order and consistency check is carried out；
4) total hierarchial sorting of the bottom each element relative to top element is calculated；
Total hierarchial sorting refer to bottom all elements for the weight order of top (i.e. first layer) relative importance,
That is aij=bi×cij(i=1,2 ..., 5；J=1,2 ..., 6), if with B layers in either element bjJudgment matrix in C layers corresponding
Coincident indicator be CIj, Aver-age Random Consistency Index RIj, then the C layers of random consistency ratio CR that always sorts are as follows:
5) consistency check is carried out to total hierarchial sorting.
The above-mentioned sorting device method for evaluating quality based on AHP and QFD, in which: the utilization quality function in the step (5)
(QFD) building Planning Model for House of Quality (HOQ) can be unfolded, comprising the following steps:
1) user demand and mass property fill up Planning Model for House of Quality: according to user demand and its different degree, the left wall of HOQ is constructed,
That is column matrix；According to the ceiling of prevailing quality characteristic and quality improvement direction building HOQ, i.e. row matrix；
2) construct relational matrix, determine mass property different degree: to user demand and the relationship of corresponding mass property into
Row analysis assessment, defines sxy(x=1,2,3 ..., e；Y=1,2,3 ..., f) indicate that x-th of mass property and y-th of user need
Coefficient of relationship between asking, it is strong, in, weak relationship distinguish value 9,3,1, opening relationships matrix, the i.e. room HOQ；
3) competitiveness is assessed: actual user's survey data is referred to, determines that each equipment meets the degree that user demand reaches,
Using scoring method, competitiveness evaluating matrix, the right wall as HOQ are constructed；
4) it determines mass property target value: according to user demand survey data and combining relevant criterion, reasonable analysis is every
The target value of mass property, the floor as HOQ；
5) technical capability is assessed: being analyzed by expert two sorting device manufacturing enterprises, using scoring method, is looked forward to two
Industry carries out technical capability assessment, constructing technology capability assessment matrix；
6) correlativity between evaluation quality characteristic: correlativity establishes correlation matrix (positive between assay mass property
Close, be negatively correlated, without correlation), as the roof HOQ.
The present invention has apparent feasibility effect compared with the prior art, as it can be seen from the above scheme, from meeting user
Most basic demand is started with, and determines automatic sorting apparatus customized user demand parameter；It establishes automatic sorting apparatus customized demand and passs rank
Multi-level structure；With analytic hierarchy process (AHP) (AHP), it may be determined that every user demand weight, it is qualitative and quantitative so as to combine,
Solve the problems, such as quality evaluation.Automatic sorting apparatus customized demand Planning Model for House of Quality building, as connecting user in product development process
The classical tool of demand and product quality characteristics reflects the correlation between user demand and product engineering feature.In short,
Present invention combination AHP and QFD method, can convert design requirement for user demand, and the user for improving personalized customization is satisfied
Degree, and there is stronger operability and versatility.
Below by way of specific embodiment, beneficial effects of the present invention are further illustrated.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is the demand layer structure chart in embodiment；
Fig. 3 is the Planning Model for House of Quality structural schematic diagram in embodiment；
Fig. 4 is the sorting device Planning Model for House of Quality structural schematic diagram in embodiment.
Specific embodiment
Below in conjunction with attached drawing and preferred embodiment, to the sorting device quality proposed according to the present invention based on AHP and QFD
Appraisal procedure specific embodiment, feature and its effect, detailed description is as follows.
Referring to Fig. 1, a kind of product customization method of case-based reasioning of the invention includes the following steps:
(1) automatic sorting apparatus customized demand Establishing: start with from the most basic demand of user is met, determine automatic sorting
Device customizing user demand index；Establish automatic sorting apparatus customized demand recursive hierarchy structure system；
(2) it determines every user demand weight: using analytic hierarchy process (AHP) (AHP), determine each user demand phase of each level
The weight coefficient of the opposite general objective layer of weight coefficient and each user demand of the bottom for upper level user demand；
(3) mass property and its target value are determined: converting engineering design language for user requirements language, is chosen and automatic
The closely related mass property of sorting device customized user demand according to user demand survey data and combines relevant criterion,
The target value of reasonable analysis items mass property；
(4) it introduces comparative apparatus and carries out expert estimation assessment: introducing the automatic sorting apparatus for needing quality improvement and same
Outstanding equipment in class product carries out expert to two comparative apparatus in conjunction with user demand and mass property target value and assesses marking；
(5) with quality function deployment (QFD) building Planning Model for House of Quality (HOQ): in conjunction in above-mentioned steps as a result, with quality
(QFD) tools build Planning Model for House of Quality (HOQ) is unfolded in function；
(6) analysis is compared to two comparative apparatus: in conjunction with the calculated result of above-mentioned steps, two comparison automatic sortings is set
It is standby to carry out market competitiveness assessment and technical capability assessment, and propose that automatic sorting apparatus customizes quality improvement direction.
Embodiment:
1 automatic sorting apparatus user demand Establishing and different degree determine
1.1 analytic hierarchy process (AHP)
Analytic hierarchy process (AHP) (Analyt ic Hierarchy Process, AHP) is a kind of application network Systems Theory and more
Objective comprehensive assessment method, in conjunction with qualitative and quantitative, the level weight method of decision analysis of solution multiple target challenge.
It is as follows to make a concrete analysis of evaluation procedure:
(1) automatic sorting apparatus customized user demand layer structural model is established, first layer A, second layer B and third are divided into
Layer C；
(2) user demand is successively compared two-by-two, judges the relative Link Importance between each layer element, construct each layer judgement
Matrix X=(xij)n×n。
(3) root method is used, the characteristic vector W and Maximum characteristic root λ of judgment matrix X are calculatedmax.Corresponding to characteristic vector W
Component be the single sequence of corresponding element weighted value, Maximum characteristic root λmaxConsistency for test and judge matrix.It is main
Steps are as follows:
1) continued product of the every row element of judgment matrix X is calculated, i.e.,
2) M is soughtiN times root, i.e.,
3) to vectorNormalization, i.e.,
Gained vector W=[w1,w2,L,wn]TIt is required feature vector.
4) maximum eigenvalue λ is calculatedmax, i.e.,
Wherein (XW)iFor i-th component of judgment matrix X and characteristic vector W product.
5) coincident indicator is calculatedAver-age Random Consistency Index RI value is checked in, random consistency ratio is calculatedAs CR < 0.1, then it is assumed that constructed judgment matrix has satisfied consistency.
1.2 automatic sorting apparatus customized demand Establishings
Using P company logistics automatic sorting apparatus as research object, obtained with reference to corporate device research and development department and consumers' opinions
Then every demand is carried out sorted generalization by automatic sorting apparatus customized demand, construct automatic sorting apparatus customized user demand
Hierarchical system, as shown in Figure 2.First layer is automatic sorting apparatus customization aggregate demand；The second layer is to customize automatic sorting apparatus
Aggregate demand falls into 5 types a point demand: economy, quality, performance, efficiency, brand；Third layer is the user demand of 5 class point demands refinement,
Such as acquisition expenses is reasonable, equipment safety is reliable, the satisfied specific requirements of working efficiency.
1.3 automatic sorting apparatus customized demand different degrees determine
User demand different degree is basic quantitative index important in QFD, i.e., every demand is carried out quantitative marking, with table
Show the significance level index of every demand.By modes such as expert estimation, relevant operation personnel and user's questionnaire surveys to items
User demand carries out evaluation of classification.It makes a careful inquiry to actual user, is analyzed by professional designer and divided automatically
Device customizing demand estimation matrix is picked, uses 1-9 grades of different degree scaling laws important for user demand every in multilevel iudge matrix
Assignment is spent, calculates second and third layer of automatic sorting apparatus items user demand weight coefficient with AHP method.Different degree grade and
Its meaning is as shown in table 1.
1 judgment matrix different degree grade of table and its meaning
It show that judgment matrix second layer items user demand different degree scores by comparing two-by-two, which is calculated to obtain by root method
The weight coefficient of every element, concrete outcome are as shown in table 2.
Table 2B1~B5Judgment matrix and its correlation calculation result (bi)
As shown in Table 2, the weight of efficiency index B4 is maximum, is 0.3402, indicates that working efficiency is to influence automatic sorting to set
The primary factor of alternative；Followed by performance indicator B3, accounting 0.2674；Quality, economy and brand index distinguish accounting
0.2466,0.0882,0.0576.
Judgment matrix is established with AHP, third layer user demand relatively determines respective different degree two-by-two and calculates every power
Weight coefficient, as a result as shown in table 3- table 7.
Table 3C11~C14Judgment matrix and its correlation calculation result (cij)
Table 4C21~C26Judgment matrix and its correlation calculation result (cij)
Table 5C31~C36Judgment matrix and its correlation calculation result (cij)
Table 6C41Judgment matrix and its correlation calculation result (cij)
Table 7C51~C55Judgment matrix and its correlation calculation result (cij)
Carry out total hierarchial sorting consistency check.Total hierarchial sorting refers to bottom all elements for top (i.e.
One layer) weight order of relative importance, i.e. aij=bi × cij (i=1,2 ..., 5；J=1,2 ..., 6).
If the coincident indicator of judgment matrix is CIj in C layers corresponding with either element bj in B layers, mean random is consistent
Property index be RIj, then C layers of random consistency ratio CR that always sorts are as follows:
Random consistency ratio CR=0.0676 < 0.1 of always sorting is acquired, consistency check is met.It is total by what is be calculated
Weight order carries out consolidation processing, obtains demand weight of the bottom each element in general objective, as shown in table 8.
8 user demand different degree of table
The building of 2 automatic sorting apparatus customized demand Planning Model for House of Quality
2.1 quality function deployments and Planning Model for House of Quality
Quality function deployment (Quality Function Deployment, QFD) as it is a kind of the design phase application
Quality-controlsystem in management method, user demand be deployed into design, manufacture, assembly, after sale etc. in each link, it is ensured that user
Demand is embodied in front of production, is creatively controlled to beforehand control the quality administration idea of enterprise from the later period and is changed,
Most direct advantage is exactly to reduce design time and design change, reduces manufacturing cost, improves Product Design Quality and user is full
Meaning degree.
Planning Model for House of Quality (House of Quality, HOQ) is the core for driving entire QFD process, as product development
The classical tool for connecting user demand and product quality characteristics in the process, reflects between user demand and product engineering feature
Correlation.Structure is as shown in Figure 3.
2.2 mass propertys are extracted
Automatic sorting apparatus design is related to many aspects with manufacturing process, and system structure is complicated, wherein setting with automatic sorting
The associated mass property of standby user demand is more, chooses and the closely related mass property of user demand, including 5 stages:
Design phase, fabrication stage, erection stage, debugging stage, after-sale service etc., each stage is specifically segmented as shown in Figure 4.
2.3 Planning Model for House of Quality are built
According to user demand obtained as above and its different degree and mass property, Planning Model for House of Quality is constructed by QFD theory.Building
Planning Model for House of Quality mainly includes following 6 steps:
Step 1: user demand and mass property fill up Planning Model for House of Quality.According to user demand and its different degree, a left side of HOQ is constructed
Wall, i.e. column matrix；According to prevailing quality characteristic and 3 kinds of improvement directions (↑: be the bigger the better；↓: it is the smaller the better；-: median), structure
Build the ceiling of HOQ, i.e. row matrix.
Step 2: building relational matrix determines mass property different degree.To the pass of user demand and corresponding mass property
System carries out analysis assessment, defines sxy (x=1,2,3 ..., e；Y=1,2,3 ..., f) indicate x-th of mass property and y-th of use
Coefficient of relationship between the demand of family, it is strong, in, weak relationship distinguish value 9,3,1, opening relationships matrix, the i.e. room HOQ.
Step 3: competitiveness assessment.With reference to actual user's survey data, determine that P company and K company meet user demand
The degree reached constructs competitiveness evaluating matrix, the right side as HOQ using 5 points of system marking (1-5 indicates worst to best)
Wall.
Step 4: determining mass property target value.According to user demand
Survey data simultaneously combines relevant criterion, the target value of reasonable analysis items mass property, the floor as HOQ.
Step 5: technical capability assessment.Two logistics sorting device manufacturing enterprises are analyzed by expert, are beaten using 5 points of systems
Divide (1-5 indicates that 1 is worst, and 5 is best), technical capability assessment, constructing technology capability evaluation are carried out to P company and two enterprise of K company
Matrix.
According to the relationship of mass property and relative users demand, mass property different degree is determined: defining tx=∑ (sxy×
uy) be xth item mass property absolutely essential degree, sxy be xth item mass property and y user demands coefficient of relationship, uy
For y user demand different degree values.Definition vx is xth item mass property relative Link Importance, thenWith phase
To different degree classification (best result indicates 10 grades) is carried out on the basis of different degree best result, every different degree grade=this is relatively heavy
Spend score value/highest relative Link Importance score value × 10.Four (technical capability evaluating matrix, absolutely essential degree, relative Link Importance,
Different degree grade) collectively form HOQ basement.
Step 6: correlativity between evaluation quality characteristic.Correlativity establishes correlation matrix between assay mass property
(be positively correlated, be negatively correlated, without correlation), as the roof HOQ.DefinitionStrong positive correlation is represented, zero represents weak positive correlation,It represents strong
Negative correlation, Δ represent weak negative correlation.
It is as shown in Figure 4 to construct complete Planning Model for House of Quality.
The analysis of 3 Planning Model for House of Quality
3.1 competitiveness assess comparative analysis
As shown in 9 result of table, it is total that K company logistics Automatic Sorting total score is higher than P company logistics Automatic Sorting
Score illustrates that K company Logistics Equipment has higher user's competitiveness with respect to P company.In equipment safety reliability, automation
In degree and working efficiency, K company score is apparently higher than P company.In addition to this, K company has relatively high innovation ability,
Equipment is easily detachable assembling, and manufacture craft is more superior, and equipment component replaceability is strong, can adapt to a variety of work
Environment.
But on the economic costs such as purchasing, transporting, install and safeguard, P company is higher than K company, and a combination thereof is more
Rationally, it is easy to maintenance and inspection, failure rate is significant lower, and fault-tolerance is more preferable, while energy saving, and after-sale service is more excellent, therefore, tool
There is certain market share.Existing logistics automatic sorting apparatus demand be gradually intended to more efficient, equipment is more excellent, service more
Good direction is developed, and under the premise of P company should be ensured that cost is reasonable, equipment combination is reasonable and low energy consumption as a result, improves enterprise
Innovation ability, and then improve equipment dependability and working efficiency.
9 market competitiveness of table assesses comparison result
3.2 technical capabilities assess comparative analysis
By table 10 the results show that K company total score is apparently higher than P company total score.From the point of view of enterprise's angle, K company phase
There is higher technical advantage than P company, determination, the application of standard component, equipment especially in sketch scheme and expected scheme
Operational efficiency, the collection of feedback information and solution of failure etc., but expense budget, equipment safety reliability,
The combination and installation of equipment etc. Shortcomings.
3.3 market competitions and technology evaluation comprehensive analysis
Comprehensive market competition and technical capability analysis and assessment, compared with P company, K company is obtained with higher technical indicator
Preferable market evaluation.In order to further increase the market competitiveness of P company logistics automatic sorting apparatus, in planning from now on
In construction, core is to enhance the innovation ability of enterprise itself, and guidance enterprise constantly brings forth new ideas logistics equipment service and technology, is met more
The logistics of memberization sorts demand.P company can improve by the following method the market competitiveness: user demand is 1. actively excavated, it is deep
Level and user's communication exchange, detailed understanding user most essential requirement point；2. in conjunction with relevant national standard, using standard zero portion
Part improves speed of production and equipment replaceability；3. introduce technology the talent, innovative means, working efficiency is improved, it is full to improve user
Meaning degree；4. collecting feedback information, failure is reduced, trains maintenance personal, improves maintenance efficiency.P company can pass through formulation
Long-range user demand management objectives establish and improve equipment standard manufacturing system, facilities and equipments innovation mechanism and efficiency mechanism, training
The methods of after-sale service personnel are instructed to improve management of enterprise operation and technical capability.
Correlativity is analyzed between 3.4 mass propertys
The roof for the HOQ that the building of analysis chart 3 is completed, it can be found that the application of standardized product structure and spare part in common use with take
With strong negative correlativing relation is presented between budget.In addition, the receipts of the safety of equipment, Stability and dependability and field feedback
Collect negative correlation.It therefore, can be by the innovation level that develops skill come the negative correlation between weakening part mass property, still
It is simple to will definitely increase expense budget by the raising of technical innovation level, it is not easy to achieve the purpose that improvement, so, ensuring work
Under the premise of making efficiency, balance between comprehensive consideration costs and benefits strives for the result for reaching two-win.
In short, present invention combination AHP and QFD method, to P company and K company logistics automatic sorting apparatus carry out evaluation and
It improves.It is shown by data result, the market competitiveness of K company logistics equipment is slightly above P company, and technical capability is apparently higher than P
Company.In design planning from now on, P company should enhance the innovation ability of enterprise itself, and guidance enterprise constantly brings forth new ideas logistics dress
Standby service and technology meet the logistics sorting demand of diversification.For improve logistics automatic sorting apparatus service quality level, with
In terms of the engineering quality characteristic of user demand tight association, equipment speed of production and operation effect can be improved by technological innovation
Rate.Meanwhile P company can be by formulating long-range user demand management and equipment standard manufacturing system, facilities and equipments innovation machine
System and efficiency mechanism train the methods of after-sale service personnel to improve management of enterprise operation.It is automatic to the logistics of P company using QFD
Sorting device service system carries out evaluation analysis, proposes that improved method has certain limitation, is especially not easy when index is excessive
Analysis, but this method still has certain realistic meaning to the improvement of problem.
10 technical capability of table assesses comparison result
The above described is only a preferred embodiment of the present invention, being not intended to limit the present invention in any form, appoint
What is to the above embodiments according to the technical essence of the invention any simply to repair without departing from technical solution of the present invention content
Change, equivalent variations and modification, all of which are still within the scope of the technical scheme of the invention.
Claims (4)
1. a kind of sorting device method for evaluating quality based on AHP and QFD, includes the following steps:
(1) sorting device customized demand Establishing: start with from the most basic demand of user is met, determine sorting device customized user
Demand parameter；Establish sorting device customized demand multi-level structure；
(2) determine every user demand weight: using analytic hierarchy process (AHP) (AHP), determine each user demand of each level relative to
The weight coefficient of the weight coefficient of upper level user demand and each user demand of the bottom with respect to general objective layer；
(3) mass property and its target value are determined: converting engineering design language, selection and sorting device for user requirements language
The closely related mass property of customized user demand according to user demand survey data and combines relevant criterion, reasonable analysis
The target value of every mass property；
(4) it is introduced into comparative apparatus and carries out expert estimation assessment: being introduced into the sorting device and similar product for needing quality improvement
Outstanding equipment, expert is carried out to two comparative apparatus in conjunction with user demand and mass property target value and assesses marking；
(5) with quality function deployment (QFD) building Planning Model for House of Quality (HOQ): in conjunction in above-mentioned steps as a result, with quality function
It is unfolded (QFD) tools build Planning Model for House of Quality (HOQ)；
(6) analysis is compared to two comparative apparatus: in conjunction with the calculated result of above-mentioned steps, city is carried out to two comparison sorting devices
Field competitiveness assessment and technical capability assessment, and propose that sorting device customizes quality improvement direction.
2. the sorting device method for evaluating quality based on AHP and QFD as described in claim 1, it is characterised in that: the step
(1) the sorting device customized demand multi-level structure in: first layer is sorting device customization aggregate demand；The second layer is will to sort
Device customizing aggregate demand falls into 5 types a point demand: economy, quality, performance, efficiency, brand；Third layer is the refinement of 5 class point demands
User demand.
3. the sorting device method for evaluating quality based on AHP and QFD as described in claim 1, it is characterised in that: the step
(2) analytic hierarchy process (AHP) (AHP) is used in, determines items user demand weight, comprising the following steps:
1) subordinate relation in demand system between each element is analyzed, the hierarchical structure of demand system is established；
2) weight judgment matrix is constructed to element a certain in the relatively upper level of each element in same level；It is calculated by judgment matrix
The relative weighting of the relatively upper one layer of element of this layer of each element；Expert graded is used in Judgement Matricies；
The expert graded is a kind of qualitative description quantitative method, uses 1-9 grades of different degree scaling laws relatively to sentence in pairs
Every user demand different degree assignment -1 in disconnected matrix indicates demandiWith demandjIt is of equal importance；3 indicate demandiCompare demandj
It is slightly important；5 indicate demandiCompare demandjIt is obvious important；7 indicate demandiCompare demandjIt is strong important；9 indicate demandiCompare demandjIt is extremely important；2, the median of 4,6,8 adjacent two judgements；1/3,1/5,1/7,1/9 the reverse knot compared of two comparative runs is indicated
Fruit；
3) to every layer of judgment matrix list weight order and consistency check is carried out；
4) total hierarchial sorting of the bottom each element relative to top element is calculated；
Total hierarchial sorting refer to bottom all elements for the weight order of top (i.e. first layer) relative importance, i.e.,a ij
=b i ×c ij (i=1,2,…,5; j=1,2 ..., 6), if with B layers in either elementb j Judgment matrix is consistent in C layers corresponding
Property index be CI j , Aver-age Random Consistency Index RI j , then the C layers of random consistency ratio CR that always sorts are as follows:
5) consistency check is carried out to total hierarchial sorting.
4. the sorting device method for evaluating quality based on AHP and QFD as described in any one of claim 1 to 3, feature exist
In: Planning Model for House of Quality (HOQ) is constructed with quality function deployment (QFD) in the step (5), comprising the following steps:
1) user demand and mass property fill up Planning Model for House of Quality: according to user demand and its different degree, constructing the left wall of HOQ, that is, arrange
Matrix；According to the ceiling of prevailing quality characteristic and quality improvement direction building HOQ, i.e. row matrix；
2) relational matrix is constructed, mass property different degree is determined: user demand is divided with the relationship of corresponding mass property
Analysis assessment, definitions xy (x=1,2,3,…,e; y=1,2,3,…,f ) indicate thexA mass property andyA user demand it
Between coefficient of relationship, it is strong, in, weak relationship distinguish value 9,3,1, opening relationships matrix, the i.e. room HOQ；
3) competitiveness is assessed: being referred to actual user's survey data, is determined that each equipment meets the degree that user demand reaches, uses
Scoring method constructs competitiveness evaluating matrix, the right wall as HOQ；
4) it determines mass property target value: according to user demand survey data and combining relevant criterion, reasonable analysis items quality
The target value of characteristic, the floor as HOQ；
5) technical capability is assessed: two sorting device manufacturing enterprises are analyzed by expert, using scoring method, to two enterprises into
The assessment of row technical capability, constructing technology capability assessment matrix；
6) correlativity between evaluation quality characteristic: correlativity establishes correlation matrix and (is positively correlated, is negative between assay mass property
It is related, without correlation), as the roof HOQ.
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