Towards product customization and personalization in IoT-enabled cloud manufacturing

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1007/s10586-017-0767-x
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FormatText
TypeArticle
Journal titleCluster Computing
ISSN1386-7857
1573-7543
Volume20
Issue2
Pages1717–1730
Subjectcloud manufacturing; internet of things; concurrent engineering; social network; big data; radio frequency identification (RFID)
Abstract
Customized/personalized products are gaining more shares in today’s product market. Such products need collective efforts from consumers, manufacturers and third parties. This requirement has not been well addressed due to both market and technology factors. On the other hand, the Internet of Things (IoT) provides real-time sensing/actuating ability and fast transmission capability of data/information, so that remote operation of manufacturing activities and efficient collaboration among stakeholders are greatly facilitated. This provides great opportunities to address the requirement mentioned above. Thus we propose a full-connection model of product design and manufacturing in the IoT-enabled cloud manufacturing environment. The proposed model uses social networks to connect multiple parties and facilitate open innovations, and use IoT to glue physical space to cyber space and cloud manufacturing to provide various elastic services, so that the on-demand workspace, interaction, information sharing or collective problem solving are enabled. We also propose a supporting infrastructure for this model using the latest information and communication technologies. Finally, we present a case study of an RFID enabled production system for customized and personalized product with the ability to enable a new paradigm of “dynamic processes and close collaborations among different roles” and ensure robust production.
Publication date
PublisherSpringer
LanguageEnglish
Peer reviewedYes
NPARC number23002030
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Record identifier404bafae-d8cd-43cb-b775-fdce156318e7
Record created2017-07-25
Record modified2020-03-16
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