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Smart Manufacturing Execution Systems for Small and Medium-sized Enterprises

Authors: Sherwin Menezes; Savio Creado; Ray Y. Zhong;

Smart Manufacturing Execution Systems for Small and Medium-sized Enterprises

Abstract

Abstract Manufacturing Execution System (MES) plays an important role in supporting small and medium-sized enterprises (SMEs) for their daily production operations. SMEs’ businesses traditionally rely on paper based system of operations. With the rapid increase in technology, it is almost guaranteed that this will be replaced by more efficient and reliable smart MES. This paper presents a RFID enabled real-time manufacturing system which will incorporate five functions. These five functions will be integrated into an android based interface which reads and writes data to a cloud based database in real time. NFC technology is also utilized to improve the ease of use. This aims to promote communication within a company, improve product quality, optimize data storage and reduce paper waste. A case study demonstrates the feasibility and practicality of the designed and developed system.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
gold