首页 | 本学科首页   官方微博 | 高级检索  
     


Utilizing text mining and Kansei Engineering to support data-driven design automation at conceptual design stage
Affiliation:1. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan;2. Department of Management Science, National Chiao Tung University, Taiwan;3. Science and Technology Policy and Information Center, National Applied Research Laboratory, Taiwan;1. Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai 200240, China;2. Delta-NTU Corporate Laboratory for Cyber-Physical System, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore;3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore;1. Department of Information Management, School of Government, Beijing Normal University, Beijing 100875, China;2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China;3. Institute of Mechanical and Manufacturing Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, United Kingdom;4. Department of Engineering Education, Faculty of Technical and Vocational Education, University Tun Hussein Onn Malaysia (UTHM) Johor, Malaysia;1. Guangdong Provincial Key Lab. of Computer Integrated Manufacturing Systems, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China;2. Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, 999077, China
Abstract:
Keywords:Text mining  Data-driven design  Kansei Engineering  Product development process  Design automation
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号