This study explores big data gathered from motor production lines to gain a better understanding of production line issues. Motor products from Solen Electric Company’s motor production lines were used to predict failure points based on big data analytics, where 3606 datapoints from the company’s testing equipment were statistically analyzed. The current study focused on secondary data and expert interview results to further define the relevant statistical dimensions. Only 14 of the original 88 detection parameters were required for monitoring the production line. The relationships between these parameters and the relevant motor components were established to indicate how an abnormal reading may be interpreted to quickly resolve an issue. Thus, a theoretical model for the monitoring of the motor production line was proposed. Further implications and practical suggestions are also offered to improve the production lines. This study explores big data analysis and smart manufacturing and demonstrates the promise of these technologies in improving production line efficiency and reducing waste to promote sustainable production goals. Big data thus constitute the core technology for advancing production lines into Industry 4.0 and promoting industry sustainability.
In this study, the factors that affect the implementation of intelligent systems in motor production lines are analyzed. A motor production line located in Vietnam is used as the research object. The research methods include secondary data collection, field study, and interviews. This study demonstrates the following: firstly, the implementation of intelligent systems in motor production lines is heading toward Industry 4.0. Secondly, it is proposed that three functional systems—robot arm, image recognition, and big data analysis—can be introduced in the motor production line. This study analyzes the process involved in coil and motor production lines and attempts to combine intelligent system functions. It is expected that in the future, manpower will be reduced, production line productivity will increase, and intelligent production lines will be proposed. The factors that affect the introduction of intelligent systems in motor production lines are improved, and the importance of intelligent systems, which has been rarely considered in previous studies, is highlighted. In the implementation criteria of the intelligent system in the process management of the motor production line, this study provides some suggestions (to coil and motor assembly line) for the production process management. These suggestions can be provided as a reference for production lines that acquaint with intelligent systems.
During the severe acute respiratory syndrome (SARS) outbreak in 2003, Taiwan reported 346 confirmed cases and 73 deaths.1 Of all known infections, 94% were transmitted inside hospitals. Nine major hospitals were fully or partially shut down, and many doctors and nurses quit for fear of becoming infected. The Taipei Municipal Ho-Ping Hospital was most severely affected. Its index patient, a 42-year-old undocumented hospital laundry worker who interacted with staff and patients for 6 days before being hospitalized, became a superspreader, infecting at least 20 other patients and 10 staff members.2,3 The entire 450-bed hospital was ordered to shut down, and all 930 staff and 240 patients were quarantined within the hospital. The central government appointed the previous Minister of Health as head of the Anti-SARS Taskforce. Ultimately the hospital was evacuated; the outbreak resulted in 26 deaths.2 Events surrounding the hospital’s evacuation offer important lessons for hospitals struggling to cope with the COVID-19 pandemic, which has been caused by spread of a similar coronavirus.
The antioxidant capability of herbal remedies has attracted widespread attention, but their molecular mechanisms in a muscle atrophy model have not been explored. The aim of the present study was to compare the bioactivity of sucrose challenged mice following treatment with aTG-125. Here, through a combination of transcriptomic and biomedical analysis, herbal formula aTG-125, a phytochemical-rich formula, was identified as a protective factor against muscle atrophy in sucrose challenged mice. Gene ontology (Go) identified differentially expressed genes that were primarily enriched in the 'negative regulation of proteolysis', 'cellular amino acid metabolic process', 'lipoprotein particle' and 'cell cycle', all of which were associated with the aTG-125-mediated prevention of muscle atrophy, particularly with regard to mitochondrial biogenesis. in skeletal muscle, a set of
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