기계부품 제조 공정의 데이터기반 4M 최적화를 위한 FOM방법론 적용
Application of FOM Methodology for 4M Optimization Based on the Data of Manufacturing Process of Mechanical Parts
오상석(호서대학교); 양해성(호서대학교); 배병성(호서대학교); 김수영(호서대학교)
30권 6호, 456~464쪽
초록
To meet the requirements for smart production systems to secure stable production processes that can accommodate increasing complexity, shorter product life cycles, product diversification, improve quality and productivity, and secure a competitive advantage in a rapidly changing manufacturing environment, 4M optimization is required for productivity. Accordingly, as an example, data from a cold forging process was analyzed and increased production efficiency was predicted through simulations using FOM, which was then verified and proposed as a solution for 4M optimization. Thus, many factories can achieve optimization of 4M-based smart manufacturing sites and create a foundation for smart factory operations and productivity improvements through loss factor analysis and production forecasting.
Abstract
To meet the requirements for smart production systems to secure stable production processes that can accommodate increasing complexity, shorter product life cycles, product diversification, improve quality and productivity, and secure a competitive advantage in a rapidly changing manufacturing environment, 4M optimization is required for productivity. Accordingly, as an example, data from a cold forging process was analyzed and increased production efficiency was predicted through simulations using FOM, which was then verified and proposed as a solution for 4M optimization. Thus, many factories can achieve optimization of 4M-based smart manufacturing sites and create a foundation for smart factory operations and productivity improvements through loss factor analysis and production forecasting.
- 발행기관:
- 한국생산제조학회
- 분류:
- 기계공학