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Research Papers

A Smart Cloud-Based System for the WEEE Recovery/Recycling

[+] Author and Article Information
Xi Vincent Wang

Department of Production Engineering,
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

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

Lihui Wang

Department of Production Engineering,
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

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 137(6), 061010 (Sep 09, 2015) (11 pages) Paper No: MANU-14-1531; doi: 10.1115/1.4030304 History: Received October 14, 2014

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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References

Figures

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Fig. 1

WEEE physical flow and UEEE

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Cloud-based WEEE data maintenance

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WR2Cloud business model

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Three-layer WR2Cloud

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GREENet data model set

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QR code enabled Cloud service

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QR code processors

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WEEE management module

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Fig. 9

Lead products Cloud

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