Abstract
Many small- and medium-sized enterprises in Korea are introducing smart factories to maintain competitiveness. The smart factory collects and monitors production process and equipment data in real time. When an abnormality occurs, the smart factory can immediately identify the problem, minimizing equipment downtime and product defect and increasing corporate profits. In this study, 4M (human, machine, material, method) data, a key element of manufacturing, was collected and analyzed to build a smart factory, and the reliability of the collected data was very high. The reliability of the data was verified using the factory operation management solution and improved through on-site customized training. The data for the manufacturing site were collected, applied, and verified from small and medium-sized enterprises that manufacture automobile parts.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of the Korean Society of Manufacturing Technology Engineers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
