Sustainable management of waste electrical and electronic equipment (WEEE) has attracted escalating concerns of researchers and industries. Closer information linking among the participants in the products's lifecycle should take place. How to interoperate among the distributed and heterogeneous information systems of various participants is a challenge faced. Targeting the cloud-based remanufacturing, this article aims to develop a semantic information services framework for sustainable WEEE management. In the proposed framework, an ontology based approach is developed to integrate and represent the lifecycle information from multiple local data sources within an information services provider. Meanwhile, a semantic information services management platform is introduced for the advertisement, matchmaking and retrieval of semantic information services. Some relevant techniques used to build the framework are introduced extensively. A demonstration case study on waste LCD TV is used to illustrate the effectiveness and significance of the proposed framework.
Skip Nav Destination
Article navigation
December 2015
Research-Article
A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing
Kai Xia,
Kai Xia
State Key Lab of Digital Manufacturing
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: kai_xia@126.com
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: kai_xia@126.com
Search for other works by this author on:
Liang Gao,
Liang Gao
State Key Lab of Digital Manufacturing
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: gaoliang@mail.hust.edu.cn
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: gaoliang@mail.hust.edu.cn
Search for other works by this author on:
Lihui Wang,
Lihui Wang
Department of Production Engineering,
KTH Royal Institute of Technology,
Stockholm 100 44, Sweden
e-mail: lihuiw@kth.se
KTH Royal Institute of Technology,
Stockholm 100 44, Sweden
e-mail: lihuiw@kth.se
Search for other works by this author on:
Weidong Li,
Weidong Li
Faculty of Engineering and Computing,
Coventry University,
Coventry CV1 5FB, UK
e-mail: aa3719@coventry.ac.uk
Coventry University,
Coventry CV1 5FB, UK
e-mail: aa3719@coventry.ac.uk
Search for other works by this author on:
Kuo-Ming Chao
Kuo-Ming Chao
Faculty of Engineering and Computing,
Coventry University,
Coventry CV1 5FB, UK
e-mail: csx240@coventry.ac.uk
Coventry University,
Coventry CV1 5FB, UK
e-mail: csx240@coventry.ac.uk
Search for other works by this author on:
Kai Xia
State Key Lab of Digital Manufacturing
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: kai_xia@126.com
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: kai_xia@126.com
Liang Gao
State Key Lab of Digital Manufacturing
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: gaoliang@mail.hust.edu.cn
Equipment and Technology,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: gaoliang@mail.hust.edu.cn
Lihui Wang
Department of Production Engineering,
KTH Royal Institute of Technology,
Stockholm 100 44, Sweden
e-mail: lihuiw@kth.se
KTH Royal Institute of Technology,
Stockholm 100 44, Sweden
e-mail: lihuiw@kth.se
Weidong Li
Faculty of Engineering and Computing,
Coventry University,
Coventry CV1 5FB, UK
e-mail: aa3719@coventry.ac.uk
Coventry University,
Coventry CV1 5FB, UK
e-mail: aa3719@coventry.ac.uk
Kuo-Ming Chao
Faculty of Engineering and Computing,
Coventry University,
Coventry CV1 5FB, UK
e-mail: csx240@coventry.ac.uk
Coventry University,
Coventry CV1 5FB, UK
e-mail: csx240@coventry.ac.uk
1Corresponding author.
Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received November 13, 2014; final manuscript received March 4, 2015; published online September 9, 2015. Assoc. Editor: Lihui Wang.
J. Manuf. Sci. Eng. Dec 2015, 137(6): 061011 (11 pages)
Published Online: September 9, 2015
Article history
Received:
November 13, 2014
Revision Received:
March 4, 2015
Citation
Xia, K., Gao, L., Wang, L., Li, W., and Chao, K. (September 9, 2015). "A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing." ASME. J. Manuf. Sci. Eng. December 2015; 137(6): 061011. https://doi.org/10.1115/1.4030008
Download citation file:
Get Email Alerts
Related Articles
Digital Twins: Review and Challenges
J. Comput. Inf. Sci. Eng (June,2021)
Special Issue: Data Science-Enhanced Manufacturing
J. Manuf. Sci. Eng (October,2017)
Manufacturing Process and System Sustainability Analysis Tool: A Proof-of-Concept for Teaching Sustainable Product Design and Manufacturing Engineering
J. Manuf. Sci. Eng (February,2024)
Resilient Circularity in Manufacturing: Synergies Between Circular Economy and Reconfigurable Manufacturing
J. Manuf. Sci. Eng (November,2024)
Related Proceedings Papers
Related Chapters
Quality Systems and Standards
Metrology and Instrumentation: Practical Applications for Engineering and Manufacturing
Fundamentals of Computer-Integrated Manufacturing
Manufacturing Engineering: Principles for Optimization, Third Edition
Computer-Aided Process Planning and Data Collection
Manufacturing Engineering: Principles for Optimization, Third Edition