Please use this identifier to cite or link to this item:
Title: An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment
Authors: Guo, ZX
Ngai, EWT 
Yang, C
Liang, X
Keywords: Distributed monitoring and scheduling
Intelligent decision-making
Cloud technology
Managerial implications
Issue Date: 2015
Publisher: Elsevier
Source: International journal of production economics, 2015, v. 159, p. 16-28 How to cite?
Journal: International journal of production economics 
Abstract: Global manufacturing companies have some pressing needs to improve production visibility and decision-making performance by implementing effective production monitoring and scheduling. This paper proposes a radio frequency identification (RFID)-based intelligent decision support system architecture to handle production monitoring and scheduling in a distributed manufacturing environment. A pilot implementation of the architecture is reported in a distributed clothing manufacturing environment. RFID and cloud technologies were integrated for real-time and remote production capture and monitoring. Intelligent optimization techniques were also implemented to generate effective production scheduling solutions. A prototype system with remote monitoring and production scheduling functions was developed and implemented in a distributed manufacturing environment, which demonstrated the effectiveness of the architecture. The proposed architecture has good extensibility and scalability, which can easily be integrated with production decision-making as well as production and logistics operations in the supply chain. Lastly, this paper discusses the difficulties encountered and lessons learned during system implementation and the managerial implications of the proposed architecture.
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2014.09.004
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Aug 14, 2017

Page view(s)

Last Week
Last month
Checked on Aug 20, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.