Evaluation of Smart Alarm Systems for Industry 4.0 Technologies

被引：7
|
作者：
Chang, Che-Wei [1 ,2 ]
机构：
[1] Natl Taiwan Univ Sport, Dept Recreat, Taoyuan 33301, Taiwan
[2] Natl Taiwan Univ Sport, Grad Inst Recreat Sport Management, Taoyuan 33301, Taiwan
来源：
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 06期
关键词：
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); RELATIONAL ANALYSIS; DECISION-MODEL; SUPPLY CHAIN; PERFORMANCE; MANAGEMENT; TOPSIS; SELECTION; NETWORK; QUALITY;
D O I：
10.3390/app10062022
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
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.
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页数：14
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