Production Planning for Integrated Circuit Manufacturing by Applying Mathematical Models and Computer Programs

Abstract

This research aims to design and analyze appropriate mathematical models to develop a system that supports production planning. This is done by applying computer programs and forecasting techniques for production volume to meet the targets of the company. Research findings from our case study at the integrated circuit factory showed that statistical analysis of P-Value was 0.263 higher than 0.05, which is the normal distribution at 95% confidence interval. In addition, for subsequent production planning, forecast of production volume by Exponential smoothing method is closest to the customer's actual requirement and has the lowest error percentage of 0.05%. Therefore, result shows that production planning target can be determined by appropriate forecasting method, leading to an integrated production planning that can operate effectively.