Open AccessAN IMPROVEMENT OF PRODUCTIVITY BY REAL TIME MACHINE MONITORING SYSTEM: A case study of printing industry
Author(s) -
Sawat Pararach,
Apiwat Muttamara,
Phisan Kaewprapha
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1163/1/012002
Subject(s) - dashboard , productivity , factory (object oriented programming) , automation , manufacturing engineering , computer science , process (computing) , mobile phone , phone , manufacturing , data collection , industrial engineering , engineering , database , operating system , business , marketing , mechanical engineering , linguistics , philosophy , statistics , mathematics , economics , macroeconomics , programming language
Digital technologies and automation integration is one of the promising directions to increase productivity in the manufacturing. A consulting project to promoting the adoption of digital technology under the policy of the Department of Industrial Promotion, and Thailand 4.0 to help small and medium entrepreneurs (SMEs) to assess and gain readiness to the use of cyber-physical including digital technology. The real-time data gathering system for monitoring and displaying information is presented. For example, IoT based sensors is applied in digital counting of machine-made goods. This data can be used to analyze the root cause of a manufacturing process problem, for example, time lost due to discontinuity of work or setting up. Best practices are observed at a printing factory. The implementation shows the effective data acquisition even the running speed of a machine is high. The owner and manager gain real-time access to the dashboard through their mobile phone or personal computer. Therefore, they can manage their jobs instantly and remotely. Moreover, the stored data can be downloaded in Excel format. The data can be used in process waste analysis. The numerical results of using this system, overall equipment productivity and efficiency (OEE) were increased by 10% to 15%, approximately.