FOM Solution을 활용한 제조공정 데이터의 신뢰도 향상
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 eq...
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Veröffentlicht in: | 한국생산제조학회지 2022, 31(3), , pp.216-223 |
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Format: | Artikel |
Sprache: | kor |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. KCI Citation Count: 0 |
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ISSN: | 2508-5093 2508-5107 |
DOI: | 10.7735/ksmte.2022.31.3.216 |