CN113360477A - Classification method for large-scale customized women's leather shoes - Google Patents
Classification method for large-scale customized women's leather shoes Download PDFInfo
- Publication number
- CN113360477A CN113360477A CN202110687044.6A CN202110687044A CN113360477A CN 113360477 A CN113360477 A CN 113360477A CN 202110687044 A CN202110687044 A CN 202110687044A CN 113360477 A CN113360477 A CN 113360477A
- Authority
- CN
- China
- Prior art keywords
- leather shoes
- classification
- women
- class
- shoe
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
Abstract
The invention discloses a classification method for large-scale customized women leather shoes, which comprises the following steps: the method comprises the following steps: establishing a database of styles and templates of conventional customized leather shoes for women; step two: determining structural factors and non-structural factors influencing leather shoe changes; step three: establishing primary and secondary classification standards and supplementary standards thereof based on three core restriction factors of structural factors, namely the heel height, the toe cap shape and the vamp coverage rate; step four: constructing a classification logic system framework and drawing a classification table; step five: and creating a user customization flow, and calling a template model to put into production according to the user customization project. The invention integrates and simplifies the classification method of the leather shoes for women through scientific logic classification, provides the classification method for large-scale customization of the leather shoes for women and carries out the classification on the leather shoes, and provides important theoretical support for related enterprises to develop large-scale customization of the leather shoes.
Description
Technical Field
The invention relates to the field of large-scale customization, in particular to a classification method for a large-scale customization system of leather shoes for women.
Background
The large-scale customization is a production mode which integrates an enterprise, a client, a supplier, a staff and an environment, fully utilizes various existing resources of the enterprise by using an integral optimization viewpoint under the guidance of a system idea, and provides customized products and services with low cost, high quality and efficiency in mass production according to the personalized requirements of the client under the support of a standard technology, a modern design method, an information technology and an advanced manufacturing technology. In order to meet diversified and personalized consumption requirements, large-scale customization has been due and popularized in industries such as buildings, machinery, automobiles, daily electric appliances, textiles, clothes and the like, and the method has a great reference significance for leather shoe industry with high customization degree.
The leather shoes for women not only have rich styles, but also belong to daily necessities, have great market demand, and are suitable for construction and large-scale customized production. The logic realization of the customization system needs to carry out variable factor analysis on the leather shoes of the women, and then scientific classification and induction are realized. Therefore, the invention aims to create a classification method for large-scale customized leather shoes, which classifies the leather shoes produced and sold in the market clearly in order to provide reference for the construction of a large-scale customized system for the leather shoes.
Disclosure of Invention
The invention aims to provide a classification method for large-scale customization of women's leather shoes, which aims to solve the logic problem of customization selection of each characteristic dimension of shoe money in the construction of a large-scale customization system for the women's leather shoes. The classification system can be used for constructing a database structure system of the styles of the female leather shoes so as to assist users and enterprises in designing and confirming the styles of the female leather shoes for customization. Meanwhile, the structural feature dimension in the classification system is beneficial to the technical classification of the leather shoe production structure process design.
In order to achieve the purpose, the invention provides the following technical scheme: a classification method for large-scale customized leather shoes for women comprises the following steps:
the method comprises the following steps: collecting the money of common leather shoes for women produced or sold in the current market, and establishing a database of styles and templates of the conventional customized leather shoes for women;
step two: analyzing and summarizing the leather shoe styles in the style database determined in the step one, determining the change factors influencing the leather shoes, and dividing the change factors into structural factors and non-structural factors;
step three: establishing a classification standard based on the heel height, the toe shape and the vamp coverage of three core constraint factors in the structural factors established in the step two, wherein the three core factors can be used as a primary classification standard to carry out primary classification on the women's leather shoes, and the characteristic elements of the vamp coverage dimension of the primary classification standard can be further expanded to establish a secondary classification standard and a supplementary standard thereof;
step four: compiling category codes based on the classification standard in the step three, constructing a classification logic system framework and drawing a classification table;
step five: and establishing a user customization flow based on the codes and the classification table in the step four, connecting the output shoe money to the template database in the step one, and calling a template model to put into production according to the user customization project.
Furthermore, the structural factors in the second step are variation factors which have influence on the plate making of the leather shoes, such as the height of the shoe heel, the covering condition of the shoe upper and the like; the non-structural factors refer to apparent characteristic factors which do not influence the plate making of the leather shoes, such as material, color, shoe pins and the like of the upper.
Furthermore, the factor of wearing the object in the classification of the invention is locked to women, the factor of upper material is also reduced to leather, and the structural and non-structural classification factors are not related to the factor.
Further, the primary classification criteria in step three are divided as follows: the shoe heel is divided into a flat bottom, a low heel, a middle heel and a high heel according to the height of the shoe heel; the shoe is divided into a sharp head, a round head, a square head and a special head according to the shape of the toe cap; the shoe is divided into a strip type, a shallow type, a full type and a boot type according to the coverage rate of the vamp.
Further, the flat bottom means that no relative fall exists between the front and the back of the sole; the low heel refers to that the heel of the sole is higher than the half sole by within 4 cm; the heel is 4-7 cm higher than the half sole; the high heel means that the heel of the sole is higher than the half sole by more than 7 cm. The pointed-end shoes are shoes made of shoe trees with inverted V-shaped front points; the round-head shoes are made of shoe trees with arc-shaped front tips; the square-head shoes are shoes made of shoe trees with inverted U-shaped front tips and obvious turning; the special-shaped head shoes are shoes made of shoe trees with front tips in other special shapes. The strip-block type shoes refer to shoes with non-integrity butt joint of uppers and soles, and the uppers are composed of strips and blocks, wherein the length-width ratio of the upper components is less than 10:1 and is defined as strips, and the length-width ratio of the upper components is greater than 10:1 and is defined as blocks; the shallow-mouth shoes are shoes with short forefaces, short side uppers and exposed instep mostly when the position of the welt is closer to the front; the full upper shoes are shoes with complete front and back upper structures, and the upper can completely wrap the whole foot, in particular to shoes which can cover the back of the foot; the boot is a full-upper shoe with the heel height exceeding the ankle bone.
Further, the secondary classification criteria in step three are divided as follows: the full class can be divided into a common class and a high waist class; boots can be classified into short boots, medium boots and long boots. The supplementary criteria for the secondary classification criteria are divided as follows: the strip and block classes can be divided into a strip class, a strip and block class and a block class; the shallow mouth type can be divided into an integral type and a splicing type; the general class and the high waist class of the full upper can be divided into an integral class, a splicing class and an overlapping class; the short tube type, the middle tube type and the long tube type of the boot can be divided into an integral type, a splicing type and an overlapping type.
Further, the high-waist shoes refer to full-upper shoes with the back upper height exceeding the ankle but lower than the ankle bone. The short bootie is a bootie with a bootie height below the shank; the middle boot is a boot with a boot leg height between a lower leg and a knee; the boot is a boot with a boot leg height above the knee. The strap type shoes refer to shoes with uppers and soles in non-integrity butt joint and uppers composed of straps; the blocking shoes refer to shoes with non-integrity butt joint of uppers and soles and the uppers consisting of blocks; the integral type shoes are the type of shoes with one piece upper surfaces, wherein the upper surfaces are not divided except for the functional dividing lines; the spliced shoes refer to shoes with uppers provided with decorative dividing lines and non-one-piece uppers; the overlapped shoes refer to shoes with divided uppers and overlapped divided parts.
Further, the splicing class is a division with respect to the whole class, and the classification authority of the splicing class is lower than that of the overlapping class, that is, when the splicing overlapping feature exists, the splicing class is classified according to the overlapping feature.
Further, the classification code in the step four is named according to three dimensional characteristics of heel height, toe cap shape and vamp coverage rate: four numbers of X-X-XXX-XX are used for naming, and the four numbers from left to right represent the height of a heel, the shape of a toe cap, the coverage rate of a vamp and the number of a specific shoe money. The height dimension of the heel represents the growth change from a flat bottom, a low heel, a middle heel to a high heel by numbers 1, 2, 3 and 4 respectively; the shape and the dimension of the toe cap represent the change from a sharp head, a round head, a square head to a special-shaped head by numbers 1, 2, 3 and 4 respectively; the dimension of the vamp coverage rate represents the characteristic category of the shoe through three decimal digits, the hundred digits represent the first-level classification standard division, and specifically, the numbers 1, 2, 3 and 4 represent the strip block category, the shallow mouth category, the full upper category and the boot category respectively. Ten-digit represents the division of the secondary classification standard, specifically, the common class and the high waist class of the full upper are represented by the numbers 1 and 2 respectively; numbers 1, 2 and 3 respectively represent short cylinders, middle cylinders and long cylinders of the boot; the absence of this item division is indicated by the number 0. The units represent the division of the secondary supplementary classification standard, specifically, the whole, the splicing and the overlapping are represented by numbers 1, 2 and 3 respectively; the numbers 1, 2, 3 denote the strip, the piece and the block of the shoe of the strip-and-block type, respectively. The specific shoe money numbers the specific shoe money according with the characteristics of the first three sections with the numbers of 01-99. For example, a high-heeled round-headed overall boot may be identified by the three-segment number 4-2-421, and a fifth particular high-heeled round-headed open boot may be identified by the four-segment number 4-2-421-05.
Further, the shoe money code includes a plurality of choices of the selected category characteristic factors, including but not limited to the following expansion modes: a change in the shape of the heel; the thickness of the heel is changed; the warp degree of the toe cap is changed; the shape of the toe cap is subdivided into the changes such as the angle of a sharp head, the radian of a round head, the size of a square head and the like; the shape of the strip of the sandal type shoe money is changed; the shallow shape of the shallow shoe style is changed; the shapes of the full upper type shoe money, such as a closing mode, a splicing condition and the like, are changed; the shapes of the boot shoes such as the closing mode, the splicing condition and the like are changed; the non-structural factors such as the leather type and the color of the customized shoe model change.
Further, the step five of customizing the flow by the user refers to: the user starts to customize, three sections of codes of the shoe money are determined through classification and selection of three dimensions of heel height, toe shape and vamp coverage, various pictures containing selected category characteristic factors are provided under the codes for the user to select, and the pictures are represented by four sections of codes. And if the user selects the customized shoe money, the customization process is ended, otherwise, the user can return to the starting end to restart the selection until the shoe money is selected or the customization process is abandoned. And the background can connect the output shoe money to the template database in the step one, and call the template model to put into production according to the user customized project.
In conclusion, the beneficial effects of the invention are as follows:
the customization system model is simplified and clear due to the division of the structural factors and the non-structural factors, a user selects and locks the general style type of the customized shoe money through the classification of the core structural factors, and then the unsegmented structural factors and the non-structural factors are screened according to the specific types provided by the system, so that the shoe money is finally determined, and the customization is completed.
The secondary classification and the division of the supplementary standard thereof can comprehensively cover all types of the women leather shoes existing in the current market in the dimension of vamp coverage, and the classification standards are wide in coverage and not mutually conflicted, so that the method is efficient and effective.
The system is definitely expressed based on three core structural factors of heel height, toe cap shape and vamp coverage rate, and the segmentation mode is convenient for future improvement and expansion, thereby improving the operability.
The customization process enables the background system to be more concise, the man-machine interaction operation is convenient and fast, the user customization experience is rich, and the method has great advantages and application value.
Drawings
FIG. 1 is a large-scale customized classification chart for leather shoes for women.
Fig. 2 is a schematic diagram of an encoding rule.
FIG. 3 is a flow chart of shoe money classification and coding.
FIG. 4 is a user customization process.
Figure 5 is an example of a sample view of a shoe model for four segments 4-1-203.
Figure 6 is an example of a sample view of the shoe model for four segments 1-2-424.
Detailed Description
The method comprises the following steps: the method comprises the steps of collecting the shoe styles and the templates of the common leather shoes for women, which are produced or sold in the market at present, particularly at least 3000 pairs of over 25 brands, and establishing a database of the styles and the templates of the conventional customized leather shoes for women.
Step two: and analyzing and summarizing the leather shoe styles in the style database determined in the step one, determining the change factors influencing the leather shoes, and dividing the change factors into structural factors and non-structural factors. The structural factors refer to the variable factors which have influence on the plate making of the leather shoes, such as the height of the shoe heel, the covering condition of the shoe upper and the like; the non-structural factors refer to apparent characteristic factors which do not influence the plate making of the leather shoes, such as material, color, shoe pins and the like of the upper.
Step three: and based on the structural factors in the step two, determining three core factors of the heel height, the toe cap shape and the vamp coverage rate as a primary classification standard, further expanding a secondary classification standard and a supplementary standard thereof, and establishing a specific classification table as shown in fig. 1.
Step four: expressing the specific styles of the leather shoes for women based on the classification standard in the third step, and establishing rules as follows:
four numbers of X-X-XXX-XX are used for naming, and the four numbers from left to right represent the height of a heel, the shape of a toe cap, the coverage rate of a vamp and the number of a specific shoe money, and the coding rule is shown as figure 2. The height dimension of the heel represents the growth change from a flat bottom, a low heel, a middle heel to a high heel by numbers 1, 2, 3 and 4 respectively; the shape and the dimension of the toe cap represent the change from a sharp head, a round head, a square head to a special-shaped head by numbers 1, 2, 3 and 4 respectively; the dimension of the vamp coverage rate represents the characteristic category of the shoe through three decimal digits, the hundred digits represent the first-level classification standard division, and specifically, the numbers 1, 2, 3 and 4 represent the strip block category, the shallow mouth category, the full upper category and the boot category respectively. Ten-digit represents the division of the secondary classification standard, specifically, the common class and the high waist class of the full upper are represented by the numbers 1 and 2 respectively; numbers 1, 2 and 3 respectively represent short cylinders, middle cylinders and long cylinders of the boot; the absence of this item division is indicated by the number 0. The units represent the division of the secondary supplementary classification standard, specifically, the whole, the splicing and the overlapping are represented by numbers 1, 2 and 3 respectively; the numbers 1, 2, 3 denote the strip, the piece and the block of the shoe of the strip-and-block type, respectively. The specific shoe money numbers the specific shoe money according with the coding characteristics of the first three sections by numbers of 01-99. The process of classifying and coding the shoe money is shown in fig. 3. For example, a high-heeled round-headed overall boot may be identified by the three-segment number 4-2-421, and a fifth particular high-heeled round-headed open boot may be identified by the four-segment number 4-2-421-05. The process of classifying and coding the shoe money is shown in fig. 3.
Step five: and based on the classification table in the fourth step and a user customization process, a user starts to customize, three sections of codes of the shoe money are determined by classifying and selecting three dimensions of the heel height, the toe shape and the vamp coverage, a plurality of pictures containing selected category characteristic factors are provided under the codes for the user to select, and the pictures are represented by four sections of codes. The user can select the size or customize the size after selecting the customized shoe money, selects the non-structural factors such as leather, accessories and the like, and finally finishes the customization, and the customization process is finished, otherwise, the user can return to the starting end to restart the selection until the customization is finished or the customization process is abandoned. And after the user finishes customizing, submitting an order, and outputting four corresponding sections of codes by the enterprise background according to the shoe money item customized by the user, so as to call the model of the template database to put into production. The user customization step is shown in fig. 4. The high heel pointed tip shallow splicing shoe style code and the corresponding pattern which can be customized by the user are shown in figure 5. The part of the flat-bottom round-head middle tube overlapped shoe money codes which can be customized by the user and the corresponding pattern are shown in figure 6.
Claims (7)
1. A classification method for large-scale customized women's leather shoes is characterized by comprising the following steps: the method comprises the following steps: establishing a database of styles and templates of conventional customized leather shoes for women; step two: determining the variation factors influencing the leather shoes, and dividing the variation factors into structural factors and non-structural factors; step three: primarily classifying the women's leather shoes based on three core restriction factors of structural factors, namely the heel height, the toe cap shape and the vamp coverage rate, as a primary classification standard, further expanding the characteristic elements of the vamp coverage rate dimension, and establishing a secondary classification standard and a supplementary standard thereof; step four: constructing a classification logic system framework, drawing a classification table, and coding the classification categories; step five: and (4) creating a user customization process, connecting the output shoe money to the template database in the step one, and calling a template model to put into production according to a user customization project.
2. The method for classifying the customized lady leather shoes in a large scale according to claim 1, wherein the structural factors are variation factors which have an influence on the plate making of the leather shoes, and the non-structural factors are apparent characteristic factors which have no influence on the plate making of the leather shoes.
3. The method for classifying the large-scale customized leather shoes according to claim 1, wherein the primary classification criteria are classified as follows: the shoe heel is divided into a flat bottom, a low heel, a middle heel and a high heel according to the height of the shoe heel; the shoe is divided into a sharp head, a round head, a square head and a special head according to the shape of the toe cap; the shoe is divided into a strip type, a shallow type, a full type and a boot type according to the coverage rate of the vamp.
4. The method for classifying the large-scale customized leather shoes according to claim 1, wherein the secondary classification criteria are classified as follows: the full class can be divided into a common class and a high waist class; boots can be classified into short boots, medium boots and long boots.
5. The method for the classification of the leather shoes for mass-production of women according to claim 1, wherein the supplementary criteria of the secondary classification criteria are classified as follows: the strip and block classes can be divided into a strip class, a strip and block class and a block class; the shallow mouth type can be divided into an integral type and a splicing type; the general class and the high waist class of the full upper can be divided into an integral class, a splicing class and an overlapping class; the short tube type, the middle tube type and the long tube type of the boot can be divided into an integral type, a splicing type and an overlapping type.
6. The method for the classification of the large-scale customized leather shoes according to claim 1, wherein the rules are as follows: four numbers of X-X-XXX-XX are used for naming, and the four numbers from left to right represent the height of a heel, the shape of a toe cap, the coverage rate of a vamp and the number of a specific shoe money.
7. The method for classifying the customized women's leather shoes in a large scale according to claim 1, wherein the final output shoe money of the user customization process is the style of the women's leather shoes in the created template database, and enterprises can continuously expand and perfect according to self conditions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110687044.6A CN113360477A (en) | 2021-06-21 | 2021-06-21 | Classification method for large-scale customized women's leather shoes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110687044.6A CN113360477A (en) | 2021-06-21 | 2021-06-21 | Classification method for large-scale customized women's leather shoes |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113360477A true CN113360477A (en) | 2021-09-07 |
Family
ID=77535464
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110687044.6A Pending CN113360477A (en) | 2021-06-21 | 2021-06-21 | Classification method for large-scale customized women's leather shoes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113360477A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001052140A1 (en) * | 1999-12-21 | 2001-07-19 | Jeff Silverman | System for predicting or determining garment fit |
| WO2008070537A2 (en) * | 2006-12-01 | 2008-06-12 | Ingenious Targeting Laboratory, Inc. | System and methods of making custom footwear |
| US20130132236A1 (en) * | 2005-05-09 | 2013-05-23 | Salih Burak Gokturk | System and method for enabling image recognition and searching of remote content on display |
| CN105533924A (en) * | 2015-12-10 | 2016-05-04 | 邱国辉 | Method for fast producing personalized customization shoes at low cost |
| WO2017025779A1 (en) * | 2015-08-13 | 2017-02-16 | Trya S.R.L. | Method for selecting a shoe by comparing the measurements of a foot with the measurements of shoe lasts |
| CN107203930A (en) * | 2017-06-23 | 2017-09-26 | 温州职业技术学院 | A kind of business model and system of Sort Customization footwear |
| CN107224034A (en) * | 2017-05-31 | 2017-10-03 | 广东易秀科技有限公司 | A kind of standardization matching method of footwear type building block |
| CN107704873A (en) * | 2017-09-27 | 2018-02-16 | 吴立俊 | A kind of footwear money adaption system and method based on foot type and fat and lean degree |
| CN108209834A (en) * | 2017-12-05 | 2018-06-29 | 湖南科技大学 | Intelligence washes footwear categorizing system |
| CN108596704A (en) * | 2018-03-20 | 2018-09-28 | 陈诚 | Large-scale personalized foot last matching method and system for customization |
| KR102115573B1 (en) * | 2019-06-10 | 2020-05-26 | (주)사맛디 | System, method and program for acquiring user interest based on input image data |
-
2021
- 2021-06-21 CN CN202110687044.6A patent/CN113360477A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001052140A1 (en) * | 1999-12-21 | 2001-07-19 | Jeff Silverman | System for predicting or determining garment fit |
| US20130132236A1 (en) * | 2005-05-09 | 2013-05-23 | Salih Burak Gokturk | System and method for enabling image recognition and searching of remote content on display |
| WO2008070537A2 (en) * | 2006-12-01 | 2008-06-12 | Ingenious Targeting Laboratory, Inc. | System and methods of making custom footwear |
| WO2017025779A1 (en) * | 2015-08-13 | 2017-02-16 | Trya S.R.L. | Method for selecting a shoe by comparing the measurements of a foot with the measurements of shoe lasts |
| CN105533924A (en) * | 2015-12-10 | 2016-05-04 | 邱国辉 | Method for fast producing personalized customization shoes at low cost |
| CN107224034A (en) * | 2017-05-31 | 2017-10-03 | 广东易秀科技有限公司 | A kind of standardization matching method of footwear type building block |
| CN107203930A (en) * | 2017-06-23 | 2017-09-26 | 温州职业技术学院 | A kind of business model and system of Sort Customization footwear |
| CN107704873A (en) * | 2017-09-27 | 2018-02-16 | 吴立俊 | A kind of footwear money adaption system and method based on foot type and fat and lean degree |
| CN108209834A (en) * | 2017-12-05 | 2018-06-29 | 湖南科技大学 | Intelligence washes footwear categorizing system |
| CN108596704A (en) * | 2018-03-20 | 2018-09-28 | 陈诚 | Large-scale personalized foot last matching method and system for customization |
| KR102115573B1 (en) * | 2019-06-10 | 2020-05-26 | (주)사맛디 | System, method and program for acquiring user interest based on input image data |
Non-Patent Citations (7)
| Title |
|---|
| NÁCHER,B: "A Footwear Fit Classification Model Based on Anthropometric Data", 《2006 DIGITAL HUMAN MODELING FOR DESIGN AND ENGINEERING CONFERENCE》 * |
| 周福民: "鞋类产品编码的作用与方法", 《中外鞋业》 * |
| 左爱兵等: "跨境电子商务中鞋类商品分类与命名的标准化探索", 《中国皮革》 * |
| 张强: "基于数据挖掘的鞋类产品质量评定系统设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 陈谌: "浅谈鞋类产品的分类与命名", 《中外鞋苑》 * |
| 黄丽: "基于鞋靴定制的脚楦匹配技术研究", 《中国优秀硕士学位论文全文数据库 工程科技I级》 * |
| 黄灿艺: "鞋及其常用服饰品的分类", 《西部皮革》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105608614A (en) | Shoe online customization method and system as well as terminal device | |
| Donaghu et al. | Nike just did it: International subcontracting and flexibility in athletic footwear production | |
| CN201349600Y (en) | System for generating three-dimensional boot tree | |
| CN114638026B (en) | Block division method and device in shoe body design process | |
| CN1806710A (en) | Method for automatically forming shoe tree model based on foot characteristic parameter | |
| CN1348731A (en) | personalized shoe tree mold designing method | |
| CN102783767A (en) | System for designing customized shoe tree and evaluating comfort thereof | |
| CN105590238A (en) | Method, system and terminal device of customizing shoes | |
| CN102637236B (en) | Intelligent color matching method for textile patterns | |
| CN115186318B (en) | Method and device for designing shoe body model based on shoe body historical data | |
| CN113360477A (en) | Classification method for large-scale customized women's leather shoes | |
| CN115035245A (en) | Color matching processing method and device based on color matching quantity and original initial block division | |
| US5703781A (en) | Automatic market making system and method | |
| CN104939437B (en) | A kind of three-dimensional shoe last model structure method for designing based on different foot type | |
| CN115246222A (en) | Generation system of customized shoe model | |
| CN115577407B (en) | Method, device, equipment and medium for designing replacement part of shoe body target part | |
| CN200938878Y (en) | Combined shoe tree | |
| CN106666930A (en) | Shoe last two-section development method | |
| CN114468475A (en) | Leather shoe customization method | |
| CN110298068B (en) | Knowledge mining-based clothing style personalized design method | |
| CN115245225A (en) | System and method for automatically customizing shoe tree | |
| CN111267352A (en) | Shoe design method | |
| McBain | Developing country product choice: Footwear in Ethiopia | |
| CN115374500A (en) | Shoe body modularization rapid design method, device, equipment and storage medium | |
| CN114155058A (en) | Shoe and boot large-scale customization method and system |
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 |