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A Smart Cloud-Based System for the WEEE Recovery/Recycling
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-9694-0483
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2015 (English)In: Journal of manufacturing science and engineering, ISSN 1087-1357, E-ISSN 1528-8935, Vol. 137, no 6, 061010Article in journal (Refereed) PublishedText
Abstract [en]

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.

Place, publisher, year, edition, pages
ASME Press, 2015. Vol. 137, no 6, 061010
Keyword [en]
Cloud manufacturing, Cloud remanufacturing, WEEE, WEEE recovery
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-179593DOI: 10.1115/1.4030304ISI: 000364594800011ScopusID: 2-s2.0-84943627640OAI: oai:DiVA.org:kth-179593DiVA: diva2:893116
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QC 20160112

Available from: 2016-01-12 Created: 2015-12-17 Last updated: 2016-01-12Bibliographically approved

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Wang, Xi VincentWang, Lihui
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