CN109741120A - Product depth personalized customization method for user demand - Google Patents
Product depth personalized customization method for user demand Download PDFInfo
- Publication number
- CN109741120A CN109741120A CN201810925717.5A CN201810925717A CN109741120A CN 109741120 A CN109741120 A CN 109741120A CN 201810925717 A CN201810925717 A CN 201810925717A CN 109741120 A CN109741120 A CN 109741120A
- Authority
- CN
- China
- Prior art keywords
- product
- user
- customization
- demand
- design
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention discloses that the invention discloses the product depth personalized customization methods based on user demand, it is characterized by: this method is by combining user personality requirement express model and quality function deployment that user demand is mapped as customized demand, with case retrieval with match progress products configuration solution；User carries out Real-time Feedback and adjustment to customized solution by visual interface, and Variant Design is combined to deepen product customization degree, optimal case is supplied to user finally by optimal evaluation, realize the customization of user high participation, high satisfaction, the present invention determines design object collection based on user demand, and using product family as carrier, in conjunction with configuration reasoning and Variant Design, obtain customized solution collection, finally preferred plan is obtained with optimal evaluation, form high efficiency, the personalized customization process of high demand compatible degree.
Description
Technical field
The present invention relates to intelligence manufacture and design fields, and in particular to a kind of product depth for user demand
Personalized customization method.
Background technique
Personalized customization is a kind of production and sales mould for combining information technology and network technology and carrying out product customization
Formula, combines customized production and small lot produces the advantage of both production methods.During implementing personalized customization,
Inaccuracy, the user satisfaction of user requirements analysis be low and what customization procedure feasibility became that the field remains unsolved asks
Topic.In product customization research, the methods of customer requirement retrieval, design innovative, configuration design are used for a
The links of propertyization customization.Researcher classifies user demand to more fully obtain user demand, establishes base
In the user model of ontology, and the weight by calculating all kinds of demands, demand layer model is constructed, different function attribute is formed
Product demand group.
It is insufficient that user's participation in customization procedure so exists in the prior art, the lower problem of customization degree.
Summary of the invention
To solve the deficiencies in the prior art, the purpose of the present invention is to provide a kind of product depths for user demand
Personalized customization method, this method determines design object collection based on user demand, and using product family as carrier, in conjunction with matching
Reasoning and Variant Design are set, obtains customized solution collection, finally obtains preferred plan with optimal evaluation, forms high efficiency, height needs
Seek the personalized customization process of compatible degree.
The present invention is implemented as follows:
Product depth personalized customization method based on user demand, it is characterised in that: this method is by combining user
Property requirement express model and quality function deployment user demand is mapped as customized demand, carry out with case retrieval with matching
Products configuration solves；User carries out Real-time Feedback and adjustment to customized solution by visual interface, and Variant Design is combined to deepen
Optimal case is supplied to user finally by optimal evaluation, realizes the high participation of user, height by product customization degree
The customization of satisfaction.
Preferably, step is comprised the following processes:
Step 1: user requirements analysis；Pass sequentially through user demand classification, user demand Weight Acquisition and Unified Expression
Model obtains design object collection；
Step 2: product customization design process: including method for customizing collection and scheme product；
Method for customizing collection is to determine that gene needed for product customization process produces by establishing product family's module
Product, which includes general part and customizes part as obtained from deformation design, then according to the retrieval of example and matching
And it is recombinated to obtain customized solution collection；
Step 3: consider two factors of structure and function of product, and according to the function of product and structure index feature,
Interval Intuitionistic Fuzzy number and Intuitionistic Fuzzy Numbers are respectively adopted, quantification processing is carried out to the function and structure of product, and formulates knot
The evaluation criterion of structure and functional dependency；
Scheme product refers to that carrying out detailed and optimization design by customized solution optimal degree evaluation method obtains scheme production
Product；
Step 4: ultimately forming order production by field feedback.
Preferably, the user demand classification refers to special for the demand type of different user and the customization of specific product
User demand is divided into following four class and provides definition by point:
(1) the functional requirement FR for defining user, including the use demand FR of productu, moulding demand FRa, price need
Seek FRp, scene demand FRe；Functional requirement description collection expression are as follows: FR=(FRu,FRa,FRp,FRe)；
(2) the technical need TN for defining user, including the technical indicator TN of productsAnd performance parameter TNpEtc. indexs,
Technical need description collection can be expressed as: TN=(TNs,TNp)；
(3) the topology requirement SN for defining user, including be product structural parameters SNp；
(4) the plyability demand CN of user is defined, this kind of demand is the multiple combinations of above-mentioned three classes demand FR, TN, SN；
The user demand Weight Acquisition combines rough set theory with basic-element theory, using primitive concept and its table
Up to habit, provide definition: specified criteria attribute set G and decision attribute set K, four-tuple I=(U, C, V, f) are decision base
Member, if C=GUK, andThen claiming I=(U, C, V, f) is decision table.
Decision primitive I=(U, C, V, f), wherein U={ u1,u2L u|U|It is domain, andC is one limited
Non-empty attribute set, C={ c1,c2L c|n|Be all properties set；It is attribute CjThe value of ∈ C
Domain；F:U × C → V is information function, is single mapping, so that the attribute C of any object in domain U is had unique information values, i.e.,
It is as follows that coarse centralized value obtains basic step:
(1) evaluation index property set G and comprehensive evaluation value K are determined, C is soughtjDependency degreeIndicate decision attribute K
With attribute CjBetween dependency degree, see formula (1)
Card (L) represents cardinality of a set in formula；
(2) index C is soughtjWeight, see formula (2)
(3) weight normalizes, and sees formula (3).
Reflect the desired value of user's more rationality by the weight that rough set method obtains；
The Unified Expression model, which refers to, is converted user demand by QFD, and auxiliary user proposes to product depth
The specific descriptions of personalized customization, the principle of work and power of product, technology path, product knot known to product family model generative theory
It is reciprocal correspondence and reversible relationship between structure and characteristic expression；Specific product customization condition will receive the shadow of customized demand
It rings, various customization condition is converted into design object through QFD conversion rear portion, is mapped to principle of work and power layer, technology path
It is fixed to form personalization of product according to the corresponding mapping relations of different user demands type for layer, product structure layer or feature representation layer
Configuration phase during system；Another is then divided and is converted into phase of product configuration to principle of work and power layer, technology path layer, product
The constraint condition of structure sheaf or characteristic presentation layer express the above mapping relations using unified model.
Preferably, the product family refers to that, based on user requirements analysis, product family needs the demand of user accurately to turn
It turns to the customed product principle of work and power, the relevant description of geometry, determines accurate gene prod, then according to specific
Customed product parameter request selects reasonable component with configuration design step by step, find meet the general part of user demand with to
The customization part of modification constitutes new customized solution finally by recombination, specific:
Definition product family model is PM, and product function principle is denoted as PF, and product structure is denoted as PS, is equipped with same subscriber group
The product family model PM of demandn, then the product family model can be expressed as PMn=(PFn,PSn)；During production family design,
Technology path describes the technical solution of product family's function in design process, and production family design is denoted as PD, technology path note
For PT, then production family design process can be expressed as PD=(PT, PM)；Wherein product function principle PF describes the function of product family
Framework and functional category；Technology path PT describes the technical solution in production family design system based on Function Decomposition；Product
The physical element that structure PS then describes product family is constituted, and has close connection between three parts.
Preferably, the principle of work and power PF describes the function framework and classification of product family.In the principle of work and power, product family
And products thereof variable can use functional requirement FR) and functional requirement variables A indicate.Wherein A is the example of functional requirement, one
Functional requirement FR can correspond to multiple A；Product customization design in, the decomposable process to FR be from an abstract level to
The process that thinner functional unit is decomposed, and the functional character of product family is described with this；
The definition technology path PT describes the technical solution of product family；Technical solution can be expressed as designing
Parameter DP and variable V, each technical solution can be expressed as several design parameters DP, if technical solution meets
The requirement of DP, technology path become material object for customized solution and provide technical support；
The product structure PS of product family describe component and its between relationship, by general part, customization part form；It is fixed
Adopted general part UP is part or element general possessed by different product variable in product family, then general part collection is represented by
UP=(UP1,UP2,L,UPn), these shared elements can be the general structure of product or components, it is determined that the base of product
This property and functional localization；Definition customization part MP is to make a product different from the basic element of other products, promotes product
The diversification of race；During product customization, customization part MP is that user can not be searched out in product family suitable for personalization
The gene component GP of customized solution；Customization part needs that the gene component of product family is carried out modification by user or designer to set
Meter, to meet user individual customized demand.
Preferably, the deformation design refers to that the like product obtained for case retrieval, component carry out Variant Design, warp
It pastes, scaling, four kinds of Variant Design rules of removing and exchange form the product customization part MP for meeting user demand, and are added
Enter case library.
Preferably, the retrieval of the example is matched with fearness refers to that production family design can regard matching based on gene prod as
Meter and modification are installed, is modified on the basis of existing similar case according to design requirement；The selection of similar case matches
Calculating process is as follows:
1) P is setc=(p1,p2,L pn) indicate user's customed product attribute a class value；
2) P is setj=(pj1,pj2,pj3L pjn) indicating internal system, there are a class values of product attribute；
3) regard the maximum expected value of user's customed product as standard vector Pj=(1,1, L 1), by Pj=(pj1,pj2,
pj3L pjn) be normalized with linear interpolation method；
4) P is calculatedc=(p1,p2,L pn) in weight w=(w corresponding to each product attribute1,w2,L wn), meet
5) given threshold lower limit λ value selects similarity to be greater than the example set of λ with sciagraphy primary election product customization scheme
At alternative collection；
Specific example retrieval matching process is the primary condition that user determines customed product, and system is based on user demand
Consistency expresses retrieval example library.Product matching is carried out first, and whether search has the product for meeting user demand, search result
Including like products and similar case, if any like products, then directly link up whether determine generation target product with user, such as
There is similar case, then obtains target product through Variant Design by finding gene component；If there is no same or similar production
Product are then decomposed the product to carry out next step parts match, are equally retrievals whether there is or not same or similar component, are obtained
The target component to be produced finally is recombinated as product customization part MP to obtain customized solution collection.Pass through optimal evaluation
It show that optimal case is selected for user, obtains products scheme customized in user if user is satisfied, otherwise assisted with user
Quotient, resetting primary condition are retrieved again and are matched.
Preferably, the product structure reengineering, which refers to, customizes required general part UP with determination is matched by the retrieval of example
Afterwards, in conjunction with the customization part MP after Variant Design, this method is applicable under the premise of meeting technology path DP, is customized to tippet
Example, if user function demand is the tippet with national style, if not finding same instance with matching by case retrieval,
Then by finding similar case as gene component GP and modification, obtain customer satisfaction system variation example as entire product
Part MP is customized, the recombination of component is then carried out, customed product needed for constituting user completes the depth customization procedure of product.
Preferably, customized solution optimal degree evaluation method successively includes determining evaluation index and weight, first convergence and excellent
Degree three processes of evaluation.
Preferably, the determining evaluation index and weight: optimal evaluation is unfolded for customized solution collection S={ B }, will determine
Scheme evaluation goal feature set processed is expressed as c=(c1,c2,L,cm), corresponding magnitude is expressed as v=(v1,v2,L,vm),
InV(ci) be evaluation goal magnitude domain；
Corresponding evaluation goal feature set c=(c is determined with rough set method1,c2,L,cm) weight coefficient α=(α1, α2, L
αm), the index that must satisfy is indicated with index Λ, i.e. αr=Λ, then haveConstruct evaluation indice H={ H1,
H2,L,Hm, wherein Hi=(ci, vi), i=1,2, L, m；
The first convergence: the evaluation goal α that must satisfy is utilizedr=Λ carries out customized solution collection S={ B } first
Ungratified customized solution is rejected in convergence, constructs customized solution collectionWhat then customized solution was concentrated is single
Scheme is denoted as Opj, then product customization scheme collection S1,S2,L,SnIn amount of projects be successively denoted as n1,n2,L nn；
The optimal evaluation is customized solution OpjGoodness be denoted as C (Opj), goodness calculating has following situations:
1) goodness is calculated to integrate correlation function, the Multi-target evaluation suitable for most of product customization scheme.
2) goodness C (Opj) take the minimum value of correlation function, i.e.,Indicate customized solution evaluation
Each evaluating characteristic must be met the requirements in the process, and point without weight；
3) goodness C (Opj) take the maximum value of correlation function, i.e.,Indicate customized solution evaluation
As long as thering is an evaluating characteristic to meet the requirements in the process, and point without weight；
It is calculated for the goodness of customized solution, variance and related notion is introduced, to calculate customized solution collection entirety goodness
Stability；
Customized solution concentrates the goodness of individual schemeFor discrete random variable, customized solution is taken
Concentrate individual scheme goodness is maximum to be denoted as E (Y) for standard goodness, i.e.,It is then related
In variance D (Y)=E { [Y-E (Y)] of goodness Y2}；NoteFor goodness standard deviation, by variance concept and product language
Adopted connotation of evaluation it is found that D (Y) orCustomized solution S can be describedpWhole goodness and mark about evaluation index
The departure degree of quasi- goodness E (Y) reflects S in customized solution collection S by (E (Y), σ (Y))pAbout some evaluation indice
Goodness and stability.
By adopting the above-described technical solution, compared with prior art, emphasis of the present invention is for user's ginseng in customization procedure
Insufficient with degree, the lower problem of customization degree proposes the product depth personalized customization method carried out based on user demand, builds
Vertical user personality demand Unified Expression model utilizes quality function deployment (QFD) on the basis of sufficiently agreeing with user demand
User demand is mapped to obtain design requirement, is reflected design requirement and product family model in conjunction with existing product family
It penetrates, configuration reasoning is carried out with matching by case retrieval, the customization that the result that obtains of configuration is obtained as customization part with modification
Part carries out recombination by visualization interface and forms customized solution collection, chooses optimal case with optimal evaluation and is supplied to user.With
Case verification is carried out for national wind tippet product depth personalized customization, verifies the validity of this method.
Detailed description of the invention
Fig. 1 is the 1 product depth personalized customization process analysis procedure analysis schematic diagram based on user requirements analysis in the present invention；
Fig. 2 is user demand layered structure Unified Expression model schematic in the present invention；
Fig. 3 is that product family maps schematic diagram in the present invention；
Fig. 4 is case retrieval matching process schematic diagram in the present invention；
Fig. 5 is four kinds of Variant Design rule schematic diagrames in the present invention；
Fig. 6 is product form information characteristics exploded view in the present invention；
Fig. 7 is product customization model process figure in the present invention；
Fig. 8 is user demand classification schematic diagram in the present invention；
Fig. 9 is that target and constraint condition schematic diagram are customized in the present invention；
Figure 10 is product family's case library in the present invention；
Figure 11 is national product-forming element gene pool in the present invention；
Figure 12 is case retrieval flow diagram in the present invention；
Figure 13 is case retrieval schematic diagram in the present invention；
Figure 14 is custom-built system basic function setting procedure schematic diagram in the present invention；
Figure 15 is product customization scheme forming process schematic diagram in the present invention；
Figure 16 (a) is that product-forming gene elements select schematic diagram in the present invention；
Figure 16 (b) is that modification and composition rule schematic diagram are selected in the present invention；
Figure 16 (c) is preview customized solution molding figure in the present invention.
Specific embodiment
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments；Based on the embodiments of the present invention, this field is general
Logical technical staff every other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
The embodiment of the present invention:
Design process analysis
The core concept of product customization be rationally efficiently utilize and manage existing product resource, and by its into
Row Quick Casting forms diversified product and then meets user demand.Its design process can be regarded as several design problems
Solution procedure, and effectively organized by the solution procedure of problem according to certain design program, constitute one it is complete
Design situation collection D={ D1,D2,L Dn}。
It is analyzed from the design process of product, design knowledge includes user demand knowledge, product design process knowledge, production
Manufacturing knowledge, but product customization is the product design of small mount, multi items, not only to consider to produce in the design process
The novelty of product, it is also contemplated that efficiency, the feasibility of deisgn product, the participation of user etc. of design.Customization System
It needs to determine design object collection based on user demand, and using product family as carrier, in conjunction with configuration reasoning and Variant Design,
It obtains customized solution collection, finally obtains preferred plan with optimal evaluation, form high efficiency, the personalization of high demand compatible degree
Customization procedure；Fig. 1 is the product depth personalized customization process analysis procedure analysis figure based on user requirements analysis.
Users ' individualized requirement information unification expression model
1, user demand is classified
Personalized product customization is the production model [14] utmostly to meet user's customized demand as target, due to
User plays critical effect in the custom design and manufacturing process of product, so the application is raw in product customization scheme
At introducing user demand layer concept in the process.
User demand is divided into as follows by the application for the demand type of different user and the customization feature of specific product
Four classes simultaneously provide definition:
(1) the functional requirement FR for defining user, including the use demand FR of productu, moulding demand FRa, price need
Seek FRp, scene demand FRe.Functional requirement description collection expression are as follows: FR=(FRu,FRa,FRp,FRe)
(2) the technical need TN for defining user, including the technical indicator TN of productsAnd performance parameter TNpEtc. indexs,
Technical need description collection can be expressed as: TN=(TNs,TNp).
(3) the topology requirement SN for defining user, including be product structural parameters SNp。
(4) the plyability demand CN of user is defined, this kind of demand is the multiple combinations of above-mentioned three classes demand FR, TN, SN.
2, user demand Weight Acquisition
The individual demand of user is usually obtained by the directly given weight of user.But user is past as Appraising subject
It is past to be difficult to objective given weight, therefore there is ambiguity.Rough set method is used to solve the evaluation during Group Multi-attribute Decision-Making
Index weights obtain problem, can effectively express user weight expectation, solve user's weight assignment process ambiguity with
Subjectivity interference problem.
The application combines rough set theory with basic-element theory, using primitive concept and its communicative habits, saves
Unnecessary definition and explanation.
Provide definition: specified criteria attribute set G and decision attribute set K, four-tuple I=(U, C, V, f) are decision base
Member, if C=GUK, andThen claiming I=(U, C, V, f) is decision table.
Decision primitive I=(U, C, V, f), wherein U={ u1,u2L u|U|It is domain, andC is one limited
Non-empty attribute set, C={ c1,c2L c|n|Be all properties set；It is attribute CjThe value of ∈ C
Domain；F:U × C → V is information function, is single mapping, so that the attribute C of any object in domain U is had unique information values, i.e.,
It is as follows that coarse centralized value obtains basic step:
(1) evaluation index property set G and comprehensive evaluation value K are determined, C is soughtjDependency degreeIndicate decision attribute K
With attribute CjBetween dependency degree, see formula (1).
Card (L) represents cardinality of a set in formula.
(2) index C is soughtjWeight, see formula (2).
(3) weight normalizes, and sees formula (3).
Reflect the desired value of user's more rationality by the weight that rough set method obtains.
3, Unified Expression model
User demand is converted by QFD, auxiliary user proposes specifically retouching to product depth personalized customization
It states.It is between the principle of work and power of product, technology path, product structure and characteristic expression known to product family model generative theory
Reciprocal correspondence and reversible relationship.
Product customization condition will receive the influence of customized demand, and various customization condition is converted through QFD conversion rear portion
For design object, it is mapped to principle of work and power layer, technology path layer, product structure layer or feature representation layer, is needed according to different user
The corresponding mapping relations of type are asked to form the configuration phase during product customization；Another is then divided and is converted into product
Constraint condition of the configuration phase to principle of work and power layer, technology path layer, product structure layer or characteristic presentation layer, the application use
Unified model express the above mapping relations, and Fig. 2 is user demand layered structure Unified Expression model.
Production family design
Production family design is the product aggregation of shared core general technology, is to develop diversity product using limited resources
Effective ways, be based on user requirements analysis, product family need the demand of user is accurately converted into customed product function
The relevant description of principle, geometry, determines accurate gene prod, then according to specific customed product parameter request, fortune
Reasonable component is selected step by step with configuration design, finds the general part for meeting user demand and the customization part to modification, finally
New customized solution is made up of recombination.So in production family design, using the accurate gene prod of determination as production family design
Element task.
Gene needed for the application will determine product depth personalized customization design process by establishing product family model produces
Product.
Product family model covers the principle of work and power and structural information for meeting family's product of identical customization condition, is to produce
The statement of product race design requirement knowledge.Definition product family model is PM, and product function principle is denoted as PF, and product structure is denoted as PS,
Product family model PM equipped with same subscriber group's demandn, then the product family model can be expressed as PMn=(PFn,PSn).In product
In race's design process, technology path describes the technical solution of product family's function in design process, and production family design is remembered
For PD, technology path is denoted as PT, then production family design process can be expressed as PD=(PT, PM).Wherein product function principle PF is retouched
State the function framework and functional category of product family；Technology path PT describes the skill in production family design system based on Function Decomposition
Art solution；The physical element that product structure PS then describes product family is constituted.There is close connection between three parts, schemes
3 be product family's mapping graph.
The mutual mapping of the principle of work and power, technology path, product structure three parts forms the design process of product, manufacture
Process and sales process.In the whole process, the functional requirement in market is defined first and is classified and obtain the skill of product
Art route and structural parameters realize the physical structure of product using manufacture, pass to user finally by sale, entire to produce
Product race various pieces connect each other, interdependence.
1, the principle of work and power
Principle of work and power PF describes the function framework and classification of product family.In the principle of work and power, product family and products thereof variable
It can be indicated with functional requirement (FR) and functional requirement variable (A).Wherein A is the example of functional requirement, a functional requirement FR
Multiple A can be corresponded to.In product customization design, the decomposable process to FR is from an abstract level to thinner function
The process that unit is decomposed, and the functional character of product family is described with this.
2, technology path
Define the technical solution that technology path PT describes product family.It describes skill involved in customization procedure
Art application requirement, to ensure the feasibility of customized solution.
Technical solution can be expressed as design parameter DP and variable V, and each technical solution can be expressed as several
A design parameter DP, if technical solution meets the requirement of DP, to a certain extent with the feasibility of technology.Technology road
Line becomes material object for customized solution and provides technical support.
3, product structure
Defining general part UP is part or element general possessed by different product variable in product family, then general part
Collection is represented by UP=(UP1,UP2,L,UPn), these shared elements can be the general structure of product or components, it is really
The fundamental property and functional localization of fixed output quota product.
Definition customization part MP is that a product is made to promote the diversification of product family different from the basic element of other products.
During product customization, customization part MP is that user can not be searched out in product family suitable for personalized customization scheme
Gene component GP.Customization part needs that the gene component of product family is carried out Variant Design by user or designer, to meet use
Family personalized customization demand.
Customed product generating process
1, the retrieval and matching of example
Production family design can regard configuration design and modification based on gene prod as, according to design requirement existing
It is modified on the basis of similar case.The selection matching primitives process of similar case is as follows:
1) P is setc=(p1,p2,L pn) indicate user's customed product attribute a class value；
2) P is setj=(pj1,pj2,pj3L pjn) indicating internal system, there are a class value of product attribute；
3) regard the maximum expected value of user's customed product as standard vector Pj=(1,1, L 1), by Pj=(pj1,pj2,
pj3L pjn) be normalized with linear interpolation method；
4) P is calculatedc=(p1,p2,L pn) in weight w=(w corresponding to each product attribute1,w2,L wn), meet
5) given threshold lower limit λ value selects similarity to be greater than the example set of λ with sciagraphy primary election product customization scheme
At alternative collection；
Fig. 4 is the matched process of case retrieval.User determines that the primary condition of customed product, system are based on user demand
Consistency express retrieval example library.Product matching is carried out first, and whether search has the product for meeting user demand, search knot
Fruit includes like products and similar case, if any like products, then directly links up whether determine generation target product with user,
If any similar case, then target product is obtained through Variant Design by finding gene component；If there is no same or similar
Product is then decomposed the product to carry out next step parts match, is equally retrieval whether there is or not same or similar component, is obtained
The target component to be produced out is finally recombinated as product customization part MP to obtain customized solution collection.It is commented by goodness
Valence show that optimal case is selected for user, obtains products scheme customized in user if user is satisfied, otherwise with user into
Row is negotiated, and resetting primary condition is retrieved again and matched.
2, Variant Design
Like product, the component obtained for case retrieval carries out Variant Design, is pasted, is scaled, removing and exchange four
Kind Variant Design rule forms the product customization part MP for meeting user demand, and is added into case library.Fig. 5 is four kinds of modifications
Design rule figure.
By taking the customization of national wind tippet as an example, it can show that needs are fixed by retrieval example library on the basis of determining its function
The gene elements of system and carry out Variant Design obtain customization part MP, to meet the personalized modeling requirement under user's customized demand.
3, based on the product structure reengineering of user demand
By the retrieval of example with match determine customize needed for after general part UP, in conjunction with the customization part MP after Variant Design,
The application proposes the product recombination method based on general part and customization part, and this method is fitted under the premise of meeting technology path DP
With, by taking tippet customizes as an example, if user function demand be the tippet with national style, if by case retrieval with match simultaneously
Same instance is not found, then by finding similar case as gene component GP and modification, show that customer satisfaction system modification is real
Customization part MP of the example as entire product, then carries out the recombination of component, and customed product needed for constituting user completes product
Depth customization procedure.
Design innovative based on combinatorial principle is used in the Recombinant design of product structure by the application, by dividing
Analysis obtains product essential information feature.Modelling feature, functional character, the color character of such as product.The application is with national style
For tippet customization, its moulding is decomposed, show that its modelling feature is frame grain pattern fe, main body grain pattern fmWith modification grain pattern
fi。
Wherein frame grain pattern feIt can be decomposed into again according to different componentsIt is available that the rest may be inferred
A considerable number of build information feature, Fig. 6 are product form information characteristics exploded view.
The basic styling character array obtained by decomposition is as follows By basic styling feature { fe,fm,fiCarry out permutation and combination obtain table
1 modelling feature matrix.
1 product-forming eigenmatrix of table
Then shareKind combination.Wherein b, h, q are the first prime number chosen, and x, y, z is respectively fe、fm、fi
In element sum.
Customized solution optimal degree evaluation method
1, evaluation index and weight are determined
Optimal evaluation is unfolded for customized solution collection S={ B }.Customized solution evaluation goal feature set is expressed as c=
(c1,c2,L,cm), corresponding magnitude is expressed as v=(v1,v2,L,vm), whereinV(ci) it is evaluation goal
Magnitude domain.
Corresponding evaluation goal feature set c=(c is determined with rough set method1,c2,L,cm) weight coefficient α=(α1, α2, L
αm), the index that must satisfy is indicated with index Λ, i.e. αr=Λ, then have
Construct evaluation indice H={ H1,H2,L,Hm, wherein Hi=(ci, vi), i=1,2, L, m.
2, first convergence
Utilize the evaluation goal α that must satisfyr=Λ restrains customized solution collection S={ B } for the first time, rejects discontented
The customized solution of foot constructs customized solution collectionThe single scheme that then customized solution is concentrated is denoted as Opj, then
Product customization scheme collection S1,S2,L,SnIn amount of projects be successively denoted as n1,n2,L nn。
3, optimal evaluation
Customized solution OpjGoodness be denoted as C (Opj), goodness calculating has following situations:
1) goodness is calculated to integrate correlation function, the Multi-target evaluation suitable for most of product customization scheme.
2) goodness C (Opj) take the minimum value of correlation function, i.e.,Indicate customized solution evaluation
Each evaluating characteristic must be met the requirements in the process, and point without weight；
3) goodness C (Opj) take the maximum value of correlation function, i.e.,Indicate customized solution evaluation
As long as thering is an evaluating characteristic to meet the requirements in the process, and point without weight,
It is calculated for the goodness of customized solution, variance and related notion is introduced, to calculate customized solution collection entirety goodness
Stability.
Customized solution concentrates the goodness of individual schemeFor discrete random variable, customized solution is taken
Concentrate individual scheme goodness is maximum to be denoted as E (Y) for standard goodness, i.e.,It is then related
In variance D (Y)=E { [Y-E (Y)] of goodness Y2}。
NoteFor goodness standard deviation, by variance concept and product semantics connotation of evaluation it is found that D (Y) orCustomized solution S can be describedpThe departure degree of the whole goodness about evaluation index and standard goodness E (Y).It is logical
Cross S in (E (Y), σ (Y)) reflection customized solution collection SpGoodness and stability about some evaluation indice.
In conclusion this optimal evaluation is suitable for the optimal evaluation of serial customized solution collection, started with by S={ B }, is utilized
Scheme cluster, forms customized solution collection S={ B }={ S1,S2,L,Sn, and with customized solution SpIn subschemeFor evaluation individual, Association function is constructed, and calculates and the description of goodness standard deviation is come anti-with goodness
Reflect S in customized solution collection SpSynthesis goodness and stability about some evaluation indice.Conducive to the comprehensive of realization customized solution collection
Convergence is closed, the preferable customized solution of goodness is selected and is selected for user and then implement custom design and realize commercialization.
Product depth personalized customization case verification based on product family
This example verifies the validity that the application proposes method by application of national wind tippet personalized customization, passes through
Step by step mapping of acquisition, analysis and the user demand of user demand in customization procedure to customized solution, in conjunction with case retrieval
With the product customization for realizing high demand compatible degree with real-time Variant Design, Fig. 7 is product customization mode.
1, user requirements analysis
In actual product customization, for the historical data convenient for obtaining user, it will usually by User ID,
It is former to design following product customization system as the basic foundation classified to user accordingly for register account number information etc.
Type interface (uses the prior art), and to obtain user basic information and be carried out base categories, user inputs demand
And after selecting customization condition, system converts customized demand for user demand by Unified Expression model, using the prior art
Customized demand input interface is set, is the base level interface that user inputs demand as the direct mode of customer requirement retrieval.
Demand to user's input is analyzed, and can satisfy the individual demand of user, it is assumed that the demand of user is one
Money nationality wind tippet divides the demand of user according to the customization feature of the product, i.e. functional requirement FR, technical need
TN, topology requirement SN three classes.If Fig. 8 is the user demand classification chart under the demand.
Functional requirement FR, technical need TN, the topology requirement SN of user is customized after Unified Expression model conversation
Target and customization constraint condition, customize target and constraint condition, the property list being made of principle of work and power layer, technology layer, structure sheaf
Up to layer, design is provided for nationality's wind tippet product depth personalized customization and is guided.
2, product family's case library is established
It establishes national wind tippet product family's case library and national wind product-forming element gene pool is fixed as national wind tippet
The premise of system.National wind tippet product structure is decomposed, show that its basic styling feature is respectively frame grain pattern, main body
Grain pattern, modification grain pattern, accordingly carry out case retrieval with match.By taking national wind tippet customizes this demand as an example, by national style
In wax-dyeing process product as product example library, product family's case library such as Figure 10, national product-forming element gene pool
Such as Figure 11.
3, the retrieval and matching of example
By obtaining customization target and constraint condition after the analysis to user demand, as specific design requirement into
Row case retrieval, user carry out Real-time Feedback adjustment to retrieval and matching result, and with " national wind tippet ", this user demand is
Example, according to customization target and constraint condition carry out case retrieval with match, Figure 12 be case retrieval process.
Based on above example retrieval flow and mode, design case retrieval with match prototype system interface, user passes through can
Depending on changing interface preview search result, and search result is selected and adjusted, to improve user's participation, Figure 13 is real
Example search interface.
By carrying out the customization factors that analysis obtains the product type to the product family under national this demand of wind tippet,
Including size customization, function selection and form properties customization, the characteristics of for the product type, product form is provided a user
Attribute configuration selection, main to be arranged: moulding customization, material customization, color customization, texture customization, decorative pattern customization, and lead to
The realization of custom-built system prototype interface is crossed to the pre- browsing of product appearance, Figure 14 is custom-built system basic function setting figure.
4, Variant Design
The similar national wind tippet product and its component, user obtained for case retrieval passes through visualization interface
Selection and real-time Variant Design are carried out to it, is pasted, is scaled, and four kinds of Variant Design rule formation of removing and exchange meet use
The product customization part of family demand, Figure 15 are the product customization scheme forming process by four kinds of Variant Design rules.
Following customized solution collection forming process prototype interface, customized solution collection shape are designed according to the above variant design method
At process, wherein Figure 16 (a) is product-forming gene elements selection interface, and user makees the product-forming gene elements of selection
It is recombinated for the product customization part that general part is formed with Variant Design, forms product customization scheme by choosing composition rule
Collection, if Figure 16 (b) is selection modification and composition rule interface, final system recommends the higher scheme of goodness to pass through visualization interface
It is selected for user, such as Figure 16 (c) is preview customized solution interface, if being that user is satisfied, it is determined that customized solution and establishing is ordered
It is single, if user is dissatisfied, return to resetting customization condition.
The validity that can verify that the method that the application proposes by above example verifying, " national wind tippet customization " this
Under one user demand, the method that the application proposes can guarantee the participation of user and improve the degree of product customization, more
Add the individual demand that can agree with user, obtains higher user satisfaction.
It summarizes
The application is utilized quality function deployment (QFD) by foundation and the unified expression model of user personality demand information
User demand is mapped as design requirement, carries out configuration reasoning in conjunction with product family's case-based reasoning and configuration design, user passes through
Visualization interface carries out the real-time Variant Design based on technology path for the lower configuration result of satisfaction, configuration is obtained
General part and the customization part that obtains of Variant Design carry out recombination and form customized solution collection, utilize optimal evaluation to choose optimal side
Case, entire customization procedure ensure that the participation of user, improve the customization depth and customized solution feasibility of product.
The description of above scheme is the invention being intended to facilitate those of ordinary skill in the art to understand and use, ripe
The personnel for knowing art technology obviously easily can make various modifications to embodiment, and therefore, the present invention is not limited to above-mentioned
Real scheme, those skilled in the art according to the method for the present invention, all answer by improvement and modification made without departing from the scope of the present invention
This is within protection scope of the present invention.
Claims (10)
1. the product depth personalized customization method based on user demand, it is characterised in that: this method is by combining user personality
User demand is mapped as customized demand by requirement express model and quality function deployment, carries out product with matching with case retrieval
Configuration reasoning；User carries out Real-time Feedback and adjustment to customized solution by visual interface, and Variant Design is combined to deepen product
Optimal case is supplied to user finally by optimal evaluation, realizes the high participation of user, high satisfaction by personalized customization degree
Customization.
2. the product depth personalized customization method according to claim 1 based on user demand, it is characterised in that including
Following process steps:
Step 1: user requirements analysis；User demand classification, user demand Weight Acquisition and Unified Expression model is passed sequentially through to obtain
To design object collection；
Step 2: product customization design process: including method for customizing collection and scheme product；
Method for customizing collection is to determine gene prod needed for product customization process by establishing product family's module, the base
Include general part because of product and customize part as obtained from deformation design, then according to the retrieval of example with match and carry out weight
Group obtains customized solution collection；
Step 3: considering two factors of structure and function of product, and according to the function of product and structure index feature, adopt respectively
Quantification processing is carried out to the function and structure of product with Interval Intuitionistic Fuzzy number and Intuitionistic Fuzzy Numbers, and formulates structure and function
The evaluation criterion of correlation；
Scheme product refers to that carrying out detailed and optimization design by customized solution optimal degree evaluation method obtains scheme product；
Step 4: ultimately forming order production by field feedback.
3. the product depth personalized customization method according to claim 2 based on user demand, it is characterised in that: described
User demand classification refers to the customization feature of demand type and specific product for different user, user demand is divided into as follows
Four classes simultaneously provide definition:
(1) the functional requirement FR for defining user, including the use demand FR of productu, moulding demand FRa, price demand FRp、
Scene demand FRe；Functional requirement description collection expression are as follows: FR=(FRu,FRa,FRp,FRe)；
(2) the technical need TN for defining user, including the technical indicator TN of productsAnd performance parameter TNpEtc. indexs, technology
Requirement description collection can be expressed as: TN=(TNs,TNp)；
(3) the topology requirement SN for defining user, including be product structural parameters SNp；
(4) the plyability demand CN of user is defined, this kind of demand is the multiple combinations of above-mentioned three classes demand FR, TN, SN；
The user demand Weight Acquisition combines rough set theory with basic-element theory, is practised using primitive concept and its expression
Used, provide definition: specified criteria attribute set G and decision attribute set K, four-tuple I=(U, C, V, f) are decision primitive, if C
=GUK, andThen claiming I=(U, C, V, f) is decision table.
Decision primitive I=(U, C, V, f), wherein U={ u1,u2Lu|U|It is domain, andC is a limited non-null attribute
Set, C={ c1,c2Lc|n|Be all properties set； It is attribute CjThe codomain of ∈ C；f:U×C→V
It is information function, is single mapping, makes the attribute C of any object in domain U that there are unique information values, i.e.,
It is as follows that coarse centralized value obtains basic step:
(1) evaluation index property set G and comprehensive evaluation value K are determined, C is soughtjDependency degreeIndicate decision attribute K and attribute
CjBetween dependency degree, see formula (1)
Card (L) represents cardinality of a set in formula；
(2) index C is soughtjWeight, see formula (2)
(3) weight normalizes, and sees formula (3).
Reflect the desired value of user's more rationality by the weight that rough set method obtains；
The Unified Expression model, which refers to, is converted user demand by QFD, and auxiliary user proposes to product depth individual character
The specific descriptions for changing customization, the principle of work and power, technology path, product structure and the spy of product known to product family model generative theory
Property expression between be correspond to each other and reversible relationship；Specific product customization condition will receive the influence of customized demand, multiplicity
Customization condition through QFD conversion rear portion be converted into design object, be mapped to principle of work and power layer, technology path layer, product knot
Structure layer or feature representation layer are formed during product customization according to the corresponding mapping relations of different user demands type
Configuration phase；Another is then divided and is converted into phase of product configuration to principle of work and power layer, technology path layer, product structure layer or characteristic
The constraint condition of presentation layer express the above mapping relations using unified model.
4. the product depth personalized customization method according to claim 2 based on user demand, it is characterised in that: described
Product family refers to that, based on user requirements analysis, product family needs the demand of user to be accurately converted into former to customed product function
Reason, the relevant description of geometry, determine accurate gene prod, then according to specific customed product parameter request, use
Configuration design selects reasonable component step by step, finds the general part for meeting user demand and the customization part to modification, finally by
Recombination constitutes new customized solution, specific:
Definition product family model is PM, and product function principle is denoted as PF, and product structure is denoted as PS, equipped with same subscriber group's demand
Product family model PMn, then the product family model can be expressed as PMn=(PFn,PSn)；During production family design, technology path
The technical solution for describing product family's function in design process, is denoted as PD for production family design, technology path is denoted as PT, then produces
Product race design process can be expressed as PD=(PT, PM)；Wherein product function principle PF describes the function framework and function of product family
Classification；Technology path PT describes the technical solution in production family design system based on Function Decomposition；Product structure PS is then retouched
The physical element for stating product family is constituted, and has close connection between three parts.
5. the product depth personalized customization method according to claim 3 based on user demand, it is characterised in that: described
Principle of work and power PF describes the function framework and classification of product family.In the principle of work and power, product family and products thereof variable can use function
Demand FR) and functional requirement variables A indicate.Wherein A is the example of functional requirement, and a functional requirement FR can correspond to multiple
A；In product customization design, the decomposable process to FR is decomposed from an abstract level to thinner functional unit
Process, and the functional character of product family is described with this；
The definition technology path PT describes the technical solution of product family；Technical solution can be expressed as design parameter DP
And variable V, each technical solution can be expressed as several design parameters DP, if technical solution meets wanting for DP
It asks, technology path becomes material object for customized solution and provides technical support；
The product structure PS of product family describe component and its between relationship, by general part, customization part form；It defines general
Part UP is part or element general possessed by different product variable in product family, then general part collection is represented by UP=
(UP1,UP2,L,UPn), these shared elements can be the general structure of product or components, it is determined that the basic nature of product
Matter and functional localization；Definition customization part MP is that a product is made to promote the more of product family different from the basic element of other products
Sample；During product customization, customization part MP is that user can not search out in product family suitable for personalized customization side
The gene component GP of case；Customization part needs that the gene component of product family is carried out Variant Design by user or designer, with full
Sufficient user individual customized demand.
6. the product depth personalized customization method according to claim 2 based on user demand, it is characterised in that: described
Deformation design refers to that the like product obtained for case retrieval, component carry out Variant Design, is pasted, is scaled, removing and exchange
Four kinds of Variant Design rules form the product customization part MP for meeting user demand, and are added into case library.
7. the product depth personalized customization method according to claim 2 based on user demand, it is characterised in that: described
The retrieval of example matches configuration design and the modification for referring to that production family design can be regarded as based on gene prod with fearness, and basis is set
Meter requires to modify on the basis of existing similar case；The selection matching primitives process of similar case is as follows:
1) P is setc=(p1,p2,Lpn) indicate user's customed product attribute a class value；
2) P is setj=(pj1,pj2,pj3L pjn) indicating internal system, there are a class values of product attribute；
3) regard the maximum expected value of user's customed product as standard vector Pj=(1,1, L 1), by Pj=(pj1,pj2,pj3L
pjn) be normalized with linear interpolation method；
4) P is calculatedc=(p1,p2,L pn) in weight w=(w corresponding to each product attribute1,w2,L wn), meet
5) given threshold lower limit λ value selects similarity standby greater than the example of λ composition with sciagraphy primary election product customization scheme
Select scheme collection；
Specific example retrieval matching process is the primary condition that user determines customed product, consistency of the system based on user demand
Express retrieval example library.Product matching is carried out first, and whether search has the product for meeting user demand, and search result includes identical
Product and similar case then directly link up whether determine generation target product with user, if any similar reality if any like products
Example then obtains target product through Variant Design by finding gene component；If there is no same or similar product, then by the production
Product are decomposed to carry out next step parts match, are equally retrievals whether there is or not same or similar component, are obtained the mesh to be produced
Component is marked as product customization part MP, is finally recombinated to obtain customized solution collection.Optimal case is obtained by optimal evaluation
It is selected for user, obtains products scheme customized in user if user is satisfied, otherwise hold consultation with user, reset initial strip
Part is retrieved again and is matched.
8. the product depth personalized customization method according to claim 2 based on user demand, it is characterised in that: described
Product structure reengineering refer to by the retrieval of example with match determine customize needed for after general part UP, in conjunction with determining after Variant Design
Product MP, this method under the premise of meeting technology path DP be applicable in, by taking tippet customizes as an example, if user function demand be with
The tippet of national style passes through searching similar case as base if not finding same instance with match by case retrieval
Because of component GP and modification, customization part MP of the customer satisfaction system variation example as entire product is obtained, then carry out the weight of component
Group, customed product needed for constituting user, completes the depth customization procedure of product.
9. the product depth personalized customization method according to claim 2 based on user demand, it is characterised in that: customization
Scheme optimal degree evaluation method successively includes determining evaluation index and weight, first convergence and three process of optimal evaluation.
10. the product depth personalized customization method according to claim 9 based on user demand, it is characterised in that: institute
It states determining evaluation index and weight: optimal evaluation is unfolded for customized solution collection S={ B }, by customized solution evaluation goal feature
Set representations are c=(c1,c2,L,cm), corresponding magnitude is expressed as v=(v1,v2,L,vm), whereinV(ci)
For the magnitude domain of evaluation goal；
Corresponding evaluation goal feature set c=(c is determined with rough set method1,c2,L,cm) weight coefficient α=(α1, α2, L αm),
The index that must satisfy is indicated with index Λ, i.e. αr=Λ, then haveConstruct evaluation indice H={ H1,H2,L,
Hm, wherein Hi=(ci, vi), i=1,2, L, m；
The first convergence: the evaluation goal α that must satisfy is utilizedr=Λ restrains customized solution collection S={ B } for the first time,
Ungratified customized solution is rejected, customized solution collection S=S is constructed1⊕S2⊕L⊕Sn, then the single scheme of customized solution concentration is remembered
For Opj, then product customization scheme collection S1,S2,L,SnIn amount of projects be successively denoted as n1,n2,L nn；
The optimal evaluation is customized solution OpjGoodness be denoted as C (Opj), goodness calculating has following situations:
1) goodness is calculated to integrate correlation function, the Multi-target evaluation suitable for most of product customization scheme.
2) goodness C (Opj) take the minimum value of correlation function, i.e.,Indicate customized solution evaluation procedure
In each evaluating characteristic must meet the requirements, and without weight point；
3) goodness C (Opj) take the maximum value of correlation function, i.e.,Indicate customized solution evaluation procedure
There is an evaluating characteristic to meet the requirements in as long as, and point without weight；
It is calculated for the goodness of customized solution, variance and related notion is introduced, to calculate the stabilization of customized solution collection entirety goodness
Property；
Customized solution concentrates the goodness of individual schemeFor discrete random variable, customized solution is taken to concentrate
Individual scheme goodness is maximum to be denoted as E (Y) for standard goodness, i.e.,Then about goodness
Variance D (Y)=E { [Y-E (Y)] of Y2}；
NoteFor goodness standard deviation, by variance concept and product semantics connotation of evaluation it is found that D (Y) orCustomized solution S can be describedpThe departure degree of the whole goodness about evaluation index and standard goodness E (Y), passes through
(E (Y), σ (Y)) reflects S in customized solution collection SpGoodness and stability about some evaluation indice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810925717.5A CN109741120B (en) | 2018-08-16 | 2018-08-16 | Product deep personalized customization method for user requirements |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810925717.5A CN109741120B (en) | 2018-08-16 | 2018-08-16 | Product deep personalized customization method for user requirements |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109741120A true CN109741120A (en) | 2019-05-10 |
| CN109741120B CN109741120B (en) | 2023-02-21 |
Family
ID=66354392
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810925717.5A Active CN109741120B (en) | 2018-08-16 | 2018-08-16 | Product deep personalized customization method for user requirements |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109741120B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110517111A (en) * | 2019-08-15 | 2019-11-29 | 青岛科技大学 | A kind of product customization method |
| CN111680359A (en) * | 2020-05-11 | 2020-09-18 | 武汉理工大学 | Rapid frame design method and device and computer storage medium |
| CN111815409A (en) * | 2020-07-06 | 2020-10-23 | 浙江大学 | Internet plus environment-oriented personalized design mode matching method for mechanical product |
| CN112561667A (en) * | 2021-02-22 | 2021-03-26 | 浙江大胜达包装股份有限公司 | Fresh-keeping corrugated carton on-line customized production system and method thereof |
| JP2022542629A (en) * | 2020-07-06 | 2022-10-06 | 浙江大学 | Personalized Design Pattern Matching Method for "Internet +" Environmental Machinery Products |
| CN116074120A (en) * | 2023-03-07 | 2023-05-05 | 北京思想天下教育科技有限公司 | Online collective opening system based on big data cloud platform |
| CN116720716A (en) * | 2023-08-09 | 2023-09-08 | 中笛(北京)文化发展有限公司 | Personalized customization method and system for ginger tea products based on big data |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6301516B1 (en) * | 1999-03-25 | 2001-10-09 | General Electric Company | Method for identifying critical to quality dependencies |
| CN105117562A (en) * | 2015-09-15 | 2015-12-02 | 河海大学常州校区 | Product green configuration method based on axiomatic design theory |
-
2018
- 2018-08-16 CN CN201810925717.5A patent/CN109741120B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6301516B1 (en) * | 1999-03-25 | 2001-10-09 | General Electric Company | Method for identifying critical to quality dependencies |
| CN105117562A (en) * | 2015-09-15 | 2015-12-02 | 河海大学常州校区 | Product green configuration method based on axiomatic design theory |
Non-Patent Citations (4)
| Title |
|---|
| 吕健 等: "基于语义关联度的产品可拓实例推理方法研究", 《制造业自动化》 * |
| 杨阳: "面向大规模定制的产品族设计及评估研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
| 王克勤 等: "基于粗糙集的设计人员知识需求模型及知识推送研究", 《制造业自动化》 * |
| 覃燕红: "基于模块化产品族与客户需求转化的产品配置", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110517111A (en) * | 2019-08-15 | 2019-11-29 | 青岛科技大学 | A kind of product customization method |
| CN111680359A (en) * | 2020-05-11 | 2020-09-18 | 武汉理工大学 | Rapid frame design method and device and computer storage medium |
| CN111815409A (en) * | 2020-07-06 | 2020-10-23 | 浙江大学 | Internet plus environment-oriented personalized design mode matching method for mechanical product |
| WO2022007380A1 (en) * | 2020-07-06 | 2022-01-13 | 浙江大学 | "internet+" environment-oriented mechanical product personalized design pattern matching method |
| JP2022542629A (en) * | 2020-07-06 | 2022-10-06 | 浙江大学 | Personalized Design Pattern Matching Method for "Internet +" Environmental Machinery Products |
| JP7171094B2 (en) | 2020-07-06 | 2022-11-15 | 浙江大学 | Personalized Design Pattern Matching Method for "Internet +" Environmental Machinery Products |
| CN111815409B (en) * | 2020-07-06 | 2023-07-21 | 浙江大学 | Personalized design pattern matching method for 'Internet plus' environment mechanical products |
| CN112561667A (en) * | 2021-02-22 | 2021-03-26 | 浙江大胜达包装股份有限公司 | Fresh-keeping corrugated carton on-line customized production system and method thereof |
| CN116074120A (en) * | 2023-03-07 | 2023-05-05 | 北京思想天下教育科技有限公司 | Online collective opening system based on big data cloud platform |
| CN116074120B (en) * | 2023-03-07 | 2023-05-30 | 北京思想天下教育科技有限公司 | Online collective opening system based on big data cloud platform |
| CN116720716A (en) * | 2023-08-09 | 2023-09-08 | 中笛(北京)文化发展有限公司 | Personalized customization method and system for ginger tea products based on big data |
| CN116720716B (en) * | 2023-08-09 | 2023-12-26 | 中笛(北京)文化发展有限公司 | Personalized customization method and system for ginger tea products based on big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109741120B (en) | 2023-02-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109741120A (en) | Product depth personalized customization method for user demand | |
| CN106021364B (en) | Foundation, image searching method and the device of picture searching dependency prediction model | |
| CN110909754B (en) | Attribute generation countermeasure network and matching clothing generation method based on same | |
| CN108764663A (en) | A kind of power customer portrait generates the method and system of management | |
| Trueman et al. | Competing through design | |
| CN109166004A (en) | The product customization method of case-based reasioning | |
| Du et al. | Identifying customer need patterns for customization and personalization | |
| CN106650725A (en) | Full convolutional neural network-based candidate text box generation and text detection method | |
| CN107292702A (en) | A kind of intelligence manufacture method and system | |
| JP2014059899A (en) | Method and apparatus for dynamic real-time market segmentation | |
| CN109858566A (en) | A method of it being added to the scorecard of mould dimension based on multilayered model building | |
| CN106991194A (en) | Intelligent style commending system | |
| CN114707077A (en) | Knowledge graph-based recommendation method for Internet of things | |
| CN109523318A (en) | The analysis platform of electronic commerce data visual modeling transboundary | |
| CN101021926A (en) | Personal image design platform and method for designing by the same | |
| CN109117437A (en) | A kind of image feature extraction method towards image of clothing retrieval | |
| CN105069140B (en) | Recommendation method based on high-order user preference | |
| CN103810642B (en) | Web service based collaborative manufacturing control method and control system | |
| Ko et al. | Modeling concurrent design method for product variety | |
| Nan et al. | A study on MCIN model in intelligent clothing industry | |
| Yan et al. | A Web‐enabled product definition and customization system for product conceptualization | |
| CHEN et al. | Research into the application of Kansei engineering to the modeling aesthetic design of a numerical control machine tool | |
| Liu et al. | Construction and application of data-driven knowledge adjacency network for product CMF design | |
| Luo et al. | The Research of the Fashion Industry Driving by Big Data | |
| CN109408988A (en) | A kind of method of combination artificial intelligence sale sample analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |