Manufacturing personalization models based on industrial big data

Zhao, Yanguang

doi:10.1080/09720529.2018.1526403

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…People's demands for clothing have long gone beyond physiological and safety needs to focus on social needs, personality preferences, and self-realisation. The choice of clothing, in terms of style, stylistic details, and size, has gradually changed from a simple, comfortable, mass-market design to a personalised design that is based on fit, self-fashioning, and self-fulfillment [ 3 ]. With the widespread popularity of e-commerce, consumers' demand for personalised products has become increasingly strong [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…In other words, there is always a serious conflict between the individual needs of customers and the demands of the market on product development cycles. In the future, the market will change even more dramatically and consumers' personalisation needs will tend to increase [ 3 ]. The question of how to improve the efficiency of apparel product development and shorten the product development cycle while satisfying consumer needs has been a difficult one for apparel companies.…”

Section: Introductionmentioning

confidence: 99%

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Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm

Yan

2022

Computational Intelligence and Neuroscience

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With the rapid economic development and rising consumption levels in recent years, people are becoming more and more demanding in terms of style and fashion of clothes. As a result, customer demand for personalised clothing is increasing and the need to respond quickly to consumer demands is also becoming a competitive issue for clothing companies. The automation and intelligence of the garment design and production process is an important part of the implementation of intelligent manufacturing in the garment industry and a necessary way to transform and upgrade the garment industry. Successful clothing styles always have a distinct style identity. The style of the garment can not only conveys the designer's vision but also express the emotional needs of the consumer. In contrast, traditional garment design involves only designers and a single style. With so many styles available, the user has only been able to combine them repeatedly and has not been able to create an innovative design. In addition, apparel design and product development is still a highly empirical task. To be specific, most apparel companies can only respond to a rapidly changing market by increasing the number of designers. However, this blind expansion of staff inevitably leads to increased production costs. As a result, how to effectively develop garment products without relying on the empirical knowledge of garment designers is one of the important issues in achieving intelligent manufacturing in garment enterprises. With the rapid development of computer and network technologies, artificial intelligence, machine learning, and expert systems are widely used in various industries. Nevertheless, the application of these advanced technologies in the field of garment design is still not deep enough. This is mainly due to the uncertainty and imprecision of garment design knowledge. Also, with the rapid development of the fashion industry and the arrival of the trend of personalisation, people's demand for clothing has gradually shifted from mass appeal in terms of comfort and aesthetics to personalisation in terms of self-polishing and temperament. The personalisation of clothing encompasses a wide range of preferences in terms of style and fit. The bottom-up design process and the relatively independent setup of functional modules in traditional clothing technology have prevented the different design levels from being interlinked. This does not reflect the composition of the garment elements in the process of forming features and makes it difficult to grasp the overall design state of the garment. Therefore, in order to address these above issues, this paper proposes a garment design model based on the Bayesian classifier and decision tree algorithm to investigate how computer technologies can be applied to model garment design knowledge. This model can enable inexperienced designers to develop garment products quickly and efficiently to meet the customisation needs of customers, thus enhancing the market competitiveness of garment enterprises.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm

Yan

2022

Computational Intelligence and Neuroscience

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“…Reference [11] divides the design elements into three levels and makes a detailed study of the design elements. The first-level element refers to the shape of the element, such as circle, square, pocket, collar, T-shaped, and Xshaped.…”

Section: Related Workmentioning

confidence: 99%

Clothing Modular Design Based on Virtual 3D Technology

Wang

Zhong

2022

Journal of Sensors

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In order to improve the effect of online clothing modular design, this paper adopts the improved linear skinning technology. Moreover, without changing the original input value, this paper uses the QLERP interpolation method to interpolate the rotations of multiple joints into one and determines the rotation angle through the calculation of the rotation center point, so as to subtly solve the problem of skin depression and distortion, and greatly improving the authenticity of the experiment. In addition, this paper combines the virtual 3D technology to build a clothing modular design system to improve the effect of online clothing design. The simulation test results show that the clothing modular design system based on virtual 3D technology proposed in this paper basically meets the current online clothing modular design requirements.

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“…e application of cloth simulation technology will make the simulation effect of clothing cloth more realistic, but the diversity of textile materials, the complexity of material structure, and the irregularity of shapes, etc., all bring difficulties to the three-dimensional modeling and dynamic simulation of fabrics. ere are many ways to model cloth, mainly including geometry-based modeling methods, physics-based modeling methods, and hybrid modeling methods, that use pure geometric transformation methods to simulate the deformation of some special cloths [11,12] e combination of geometric modeling method and texture modeling method is used to realize the simulation of cloth wrinkle shape. Literature [13] proposes an implicit integral modeling method, which improves the speed of cloth physical simulation.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Applications in Custom Clothing Design Technology Based on Intelligent 3D Simulation Technology

Mishaal

2022

Mathematical Problems in Engineering

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This article integrates intelligent 3D simulation technology with an online customized clothing system to increase the impact of customized clothing design. The user uses a 3D scanner to scan his own body and acquire 3D body data, which include information of the head, chest, upper limbs, lower limbs, hands, and feet. Furthermore, this work enhances intelligent tracking and recognition technology, enhances the impact of human body parameter collection, and combines the enhanced algorithm to create a personalised clothing design system based on intelligent 3D simulation technology. Through experimental research, it can be seen that the customized clothing design system based on intelligent 3D simulation technology proposed in this paper has good effects and can effectively improve the service quality of online customized clothing.

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Manufacturing personalization models based on industrial big data

Cited by 13 publications

References 6 publications

Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm

Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm

Clothing Modular Design Based on Virtual 3D Technology

Fuzzy Applications in Custom Clothing Design Technology Based on Intelligent 3D Simulation Technology

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