Personal information

cloud manufacturing, remanufacturing planning, disassembly sequence planning, and optimization algorithms

Biography

Kai Xia is a Ph.D. candidate of the State Key Laboratory of Digital Manufacturing Equipment and Technology at Huazhong University of Science and Technology (HUST), China. He received his B.Eng. in Industrial Engineering from HUST in June 2010. His research interests include cloud manufacturing, remanufacturing planning, disassembly sequence planning, and optimization algorithms.

Activities

Employment (1)

Huazhong University of Science and Technology: Wuhan, Hubei, CN

2010-09-01 to present | Assistant research (State Key Laboratory of Digital Manufacturing Equipment and Technology)
Employment
Source: Self-asserted source
Kai Xia

Education and qualifications (2)

Huazhong University of Science and Technology: Wuhan, Hubei, CN

2010-09-01 to present | Ph.D. (Industrial Engineering)
Education
Source: Self-asserted source
Kai Xia

Huazhong University of Science and Technology: Wuhan, Hubei, CN

2006-09-01 to 2010-07-01 | B.Eng. (Industrial Engineering)
Education
Source: Self-asserted source
Kai Xia

Works (9)

A semantic information services framework for sustainable WEEE management towards cloud-based remanufacturing

J. Manuf. Sci. Eng.
2015-03-01 | Journal article
DOI:

10.1115/1.4030008

Contributors: Kai Xia; Liang Gao; Lihui Wang; Weidong Li; Kuo-Ming Chao
Source: Self-asserted source
Kai Xia via Crossref Metadata Search

Cloud manufacturing in China: a literature survey

IJMR
2014 | Journal article
DOI:

10.1504/ijmr.2014.066662

Contributors: Qun Lin; Kai Xia; Lihui Wang; Liang Gao
Source: Self-asserted source
Kai Xia via Crossref Metadata Search

Disassembly sequence planning using a Simplified Teaching-Learning-Based Optimization algorithm

Advanced Engineering Informatics
2014 | Journal article
DOI:

10.1016/j.aei.2014.07.006

WOSUID:

WOS:000346224500020

Contributors: Xia, Kai; Gao, Liang; Li, Weidong; Chao, Kuo-Ming
Source: Self-asserted source
Kai Xia via ResearcherID

A Q-Learning Based Selective Disassembly Planning Service in the Cloud Based Remanufacturing System for WEEE

Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
2014-06-09 | Conference paper
DOI:

10.1115/msec2014-4008

Contributors: Kai Xia; Liang Gao; Weidong Li; Lihui Wang; Kuo-Ming Chao
Source: Self-asserted source
Kai Xia via Crossref Metadata Search

A Simplified Teaching-Learning-Based Optimization Algorithm for Disassembly Sequence Planning

2013 Ieee 10th International Conference on E-Business Engineering (Icebe)
2013 | Journal article
DOI:

10.1109/ICEBE.2013.60

WOSUID:

WOS:000330341500060

Contributors: Xia, Kai; Gao, Liang; Wang, Lihui; Li, Weidong; Chao, Kuo-Ming; James, A; Fei, X; Chao, KM; Chung, JY
Source: Self-asserted source
Kai Xia via ResearcherID
grade
Preferred source (of 2)‎

RESEARCH PROGRESS OF CLOUD MANUFACTURING IN CHINA: A LITERATURE SURVEY

Proceedings of the Asme 8th International Manufacturing Science and Engineering Conference - 2013, Vol 2
2013 | Journal article
WOSUID:

WOS:000349928400006

Contributors: Lin, Qun; Xia, Kai; Wang, Lihui; Gao, Liang; ASME
Source: Self-asserted source
Kai Xia via ResearcherID

Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystal displays

Robotics and Computer-Integrated Manufacturing
2013 | Journal article
DOI:

10.1016/j.rcim.2013.01.006

WOSUID:

WOS:000316511300023

Contributors: Li, W. D.; Xia, K.; Gao, L.; Chao, K. -M.
Source: Self-asserted source
Kai Xia via ResearcherID

Research Progress of Cloud Manufacturing in China: A Literature Survey

Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing
2013-06-10 | Conference paper
DOI:

10.1115/msec2013-1168

Contributors: Qun Lin; Kai Xia; Lihui Wang; Liang Gao
Source: Self-asserted source
Kai Xia via Crossref Metadata Search

Sustainable information management for Waste Electrical and Eletronic Equipment

Conference paper
DOI:

10.1109/cscwd.2012.6221924

Part of ISBN:

978-1-4673-1212-7

Source: Self-asserted source
Kai Xia via Crossref Metadata Search