Prediction of Productivity Improvement Applying Simulation and FOM based on Final Machining Process Data of Large Chamber
Sang Suk Oh, Seon-Jun Jang, Su Young Kim · Journal of the korean society of manufacturing technology engineers · 2023
Because of the acceleration of DX and the influence of the Fourth Industrial Revolution, productivity improvement is required for manufacturing companies to increase efficiency, reduce costs, and rapidly adapt to changing market conditions. Therefore, efficient evaluation and verification are possible if the simulation of the FOM(smart-factory operation management) and CPS(cyberphysical system) -based 3D process optimization model is analyzed by field manufacturing data as a method of predicting the effect of the improvement plan. Therefore, we analyze the process data of a large chamber using FOM, and sample the data, we determine the effect of enhancement through a simulation model, and predict the effectiveness of productivity improvement by feedback and verification. Consequently, many small and medium-sized manufacturing companies can achieve optimization of data-driven smart manufacturing sites and improve profitability through loss factor analysis and production forecasting, creating a foundation for growth as a competitive enterprise.