Collaborative Product Design for Product Customization: An Industrial Case of Fashion Product

被引:1
作者
Kielarova, Somlak Wannarumon [1 ]
Pradujphongphet, Prapasson [1 ]
机构
[1] Naresuan Univ, Fac Engn, Ind Design Decis & Dev Res Unit ID3, Phitsanulok 65000, Thailand
来源
COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, CDVE 2020 | 2020年 / 12341卷
关键词
Collaborative design; Interactive genetic algorithm; Evolutionary design; Design optimization; Jewelry design; INTERACTIVE GENETIC ALGORITHM; EVOLUTIONARY COMPUTATION; OPTIMIZATION; CRITERIA; SYSTEM;
D O I
10.1007/978-3-030-60816-3_5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a new platform of collaborative product design for product customization. The proposed platform of the collaborative product design process is scoped in internal enterprise level, which includes customers, designers, engineers, and technologists into a single platform. The platform can generate a design solution to the design objective. The collaborative design platform was developed in term of an interactive design on a Computer-Aided Design (CAD) software. In the platform, customer can input the design requirements, designer can monitor the shape generation and improve the resulting design, engineer can define the manufacturing conditions, and technologist can perform the optimization of design and process parameters. At the end of the collaborative design process, the design solution, therefore, is generated in terms of a three-dimensional (3D) model, which is directly integrated to the manufacturing process in line, until obtaining the physical product. This platform has been implemented in a jewelry product enterprise, and the result indicates that it can reduce time in design and manufacturing process approximately 66%.
引用
收藏
页码:37 / 46
页数:10
相关论文
共 33 条
[1]  
Agkathidis Asterios., 2016, Generative Design: Form-Finding Techniques in Architecture
[2]   Fashion Design Aid System with Application of Interactive Genetic Algorithms [J].
Anaraki, Nazanin Alsadat Tabatabaei .
COMPUTATIONAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, EVOMUSART 2017, 2017, 10198 :289-303
[3]  
[Anonymous], 2017, Evolutionary principles applied to problem solving using galapagos
[4]  
Bentley P, 1999, EVOLUTIONARY DESIGN BY COMPUTERS, P1
[5]  
Bentley P.J., 2002, Creative Evolutionary Systems, P1, DOI DOI 10.1016/B978-155860673-9/50035-5
[6]   Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms [J].
Brintrup, Alexandra Melike ;
Ramsden, Jeremy ;
Takagi, Hideyuki ;
Tiwari, Ashutosh .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2008, 12 (03) :343-354
[7]   An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization [J].
Brintrup, Alexandra Melike ;
Ramsden, Jeremy ;
Tiwari, Ashutosh .
COMPUTERS IN INDUSTRY, 2007, 58 (03) :279-291
[8]   Evolving parametric aircraft models for design exploration and optimisation [J].
Byrne, Jonathan ;
Cardiff, Philip ;
Brabazon, Anthony ;
O'Neill, Michael .
NEUROCOMPUTING, 2014, 142 :39-47
[9]   Evolving Mondrian-Style Artworks [J].
Cohen, Miri Weiss ;
Cherchiglia, Leticia ;
Costa, Rachel .
COMPUTATIONAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, EVOMUSART 2017, 2017, 10198 :338-353
[10]   Improving the interactive genetic algorithm for customer-centric product design by automatically scoring the unfavorable designs [J].
Darani, Zahra Sheikhi ;
Kaedi, Marjan .
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2017, 7