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  2. 運動產業學院
  3. 休閒運動學系
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  5. Evaluation of Smart Alarm Systems for Industry 4.0 Technologies
 
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Evaluation of Smart Alarm Systems for Industry 4.0 Technologies

Journal Volume
10
Journal Issue
6
Date Issued
2020-03-16
Author(s)
張哲維  
休閒運動學系  
DOI
https://doi.org/10.3390/app10062022
URI
https://ir.ntus.edu.tw/handle/123456789/131467
Abstract
Traditionally, the footwear industry is labor intensive, and cost control is key to ensuring shoe companies can be competitive. The development of Industry 4.0 concepts, used in high-tech industries and blockchain production information systems, enables the creation of smart factories with online alarm management systems, to improve manufacturing efficiency and reduce human resource requirements. In this paper, the performances of the causal association assessment model and the technique for order preference by similarity to the ideal solution (TOPSIS) model in evaluating large data blockchain technologies and quality online real-time early warning systems for production and raw material supplier management are compared, to increase the intelligence of production and to manage product traceability.
Subjects
medium-sized enterprise
collaborative technology
Industry 4.0
intelligent alarm management system (IAMS)
cause–effect grey relational analysis (CEGRA)
technique for order preference by similarity to the ideal solution (TOPSIS)
Publisher
Applied Sciences-Basel
Type
journal article
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