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Internet-of-Things-Enabled Smart Production Logistics Execution System Based on Cloud Manufacturing

[+] Author Affiliations
Ting Qu, Shuiping Lei, Yidong Chen, Zongzhong Wang

Guangdong University of Technology, Guangzhou, China

Hao Luo, George Q. Huang

The University of Hong Kong, Hong Kong, China

Paper No. MSEC2014-4194, pp. V001T04A030; 7 pages
doi:10.1115/MSEC2014-4194
From:
  • ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
  • Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
  • Detroit, Michigan, USA, June 9–13, 2014
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4580-6
  • Copyright © 2014 by ASME

abstract

With the rapid development of cloud computer concept and technologies, more and more cloud-based business mode and practical applications are emerging in industrial environments, including cloud manufacturing and cloud logistics. Such cloud systems integrate the distributed resources and make best use of them to fulfill dynamic tasks in an optimal way. This paper will demonstrate a simple yet practical application of a cloud-based production logistics (PL) management system (C-PLES) developed under Internet-of-Things (IoT) environment. It collects both real-time process dynamics and resource statues from a ubiquitous PL environment to realize dynamic distributed capability matching. The systematic combination of IoT and cloud system enables the distributed PL terminal resources with uncertainties (e.g. availabilities and locations) to be optimally accessed and assigned to fulfill the real-time PL requirements generated from the dynamic production processes. It also enables the distributed execution data to be centrally managed and seamlessly switched among the dynamically accessed resources.

Copyright © 2014 by ASME

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