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14.02.2017

Towards product customization and personalization in IoT-enabled cloud manufacturing

verfasst von: Chen Yang, Shulin Lan, Weiming Shen, George Q. Huang, Xianbin Wang, Tingyu Lin

Erschienen in: Cluster Computing | Ausgabe 2/2017

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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.

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Metadaten
Titel
Towards product customization and personalization in IoT-enabled cloud manufacturing
verfasst von
Chen Yang
Shulin Lan
Weiming Shen
George Q. Huang
Xianbin Wang
Tingyu Lin
Publikationsdatum
14.02.2017
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 2/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0767-x