Waste electrical and electronic equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus, it is necessary to develop a distributed and intelligent system to support WEEE component recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture (SOA) that integrates various resources over the network. Cloud manufacturing systems are proposed worldwide to support operational manufacturing processes. In this research, Cloud manufacturing is further extended to the WEEE recovery and recycling context. The Cloud services are applied in WEEE recovery and recycling processes by tracking and management services. These services include all the stakeholders from the beginning to the end of life of the electric and electronic equipment. A Cloud-based WEEE recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.
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December 2015
Research-Article
A Smart Cloud-Based System for the WEEE Recovery/Recycling
Xi Vincent Wang,
Xi Vincent Wang
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: wangxi@kth.se
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: wangxi@kth.se
Search for other works by this author on:
Brenda N. Lopez N,
Brenda N. Lopez N
State Key Joint Laboratory of Environment
Simulation and Pollution Control (SKLESPC),
Room 813, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: loujl10@mails.tsinghua.edu.cn
Simulation and Pollution Control (SKLESPC),
Room 813, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: loujl10@mails.tsinghua.edu.cn
Search for other works by this author on:
Winifred Ijomah,
Winifred Ijomah
Design, Manufacture and Engineering
Management (DMEM),
Faculty of Engineering,
University of Strathclyde,
131 Rotten Row,
Glasgow G4 0NG, UK
e-mail: w.l.ijomah@strath.ac.uk
Management (DMEM),
Faculty of Engineering,
University of Strathclyde,
131 Rotten Row,
Glasgow G4 0NG, UK
e-mail: w.l.ijomah@strath.ac.uk
Search for other works by this author on:
Lihui Wang,
Lihui Wang
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: lihuiw@kth.se
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: lihuiw@kth.se
Search for other works by this author on:
Jinhui Li
Jinhui Li
State Key Joint Laboratory of Environment
Simulation and Pollution Control (SKLESPC),
Room 804, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: jinhui@tsinghua.edu.cn
Simulation and Pollution Control (SKLESPC),
Room 804, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: jinhui@tsinghua.edu.cn
Search for other works by this author on:
Xi Vincent Wang
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: wangxi@kth.se
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: wangxi@kth.se
Brenda N. Lopez N
State Key Joint Laboratory of Environment
Simulation and Pollution Control (SKLESPC),
Room 813, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: loujl10@mails.tsinghua.edu.cn
Simulation and Pollution Control (SKLESPC),
Room 813, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: loujl10@mails.tsinghua.edu.cn
Winifred Ijomah
Design, Manufacture and Engineering
Management (DMEM),
Faculty of Engineering,
University of Strathclyde,
131 Rotten Row,
Glasgow G4 0NG, UK
e-mail: w.l.ijomah@strath.ac.uk
Management (DMEM),
Faculty of Engineering,
University of Strathclyde,
131 Rotten Row,
Glasgow G4 0NG, UK
e-mail: w.l.ijomah@strath.ac.uk
Lihui Wang
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: lihuiw@kth.se
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 114 28, Sweden
e-mail: lihuiw@kth.se
Jinhui Li
State Key Joint Laboratory of Environment
Simulation and Pollution Control (SKLESPC),
Room 804, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: jinhui@tsinghua.edu.cn
Simulation and Pollution Control (SKLESPC),
Room 804, School of the Environment,
Tsinghua University,
Haidian District,
Beijing 100084, China
e-mail: jinhui@tsinghua.edu.cn
1Corresponding author.
Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received October 14, 2014; final manuscript received March 30, 2015; published online September 9, 2015. Editor: Y. Lawrence Yao.
J. Manuf. Sci. Eng. Dec 2015, 137(6): 061010 (11 pages)
Published Online: September 9, 2015
Article history
Received:
October 14, 2014
Revision Received:
March 30, 2015
Citation
Vincent Wang, X., Lopez N, B. N., Ijomah, W., Wang, L., and Li, J. (September 9, 2015). "A Smart Cloud-Based System for the WEEE Recovery/Recycling." ASME. J. Manuf. Sci. Eng. December 2015; 137(6): 061010. https://doi.org/10.1115/1.4030304
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