Semiconductor manufacturing is one of the most competitive markets in the world. To survive this competition, important targets for production planning are on-time delivery and profit maximization.
In our research, we modify the linear programming mo...
Semiconductor manufacturing is one of the most competitive markets in the world. To survive this competition, important targets for production planning are on-time delivery and profit maximization.
In our research, we modify the linear programming model for the current production planning by adding new objective functions that maximize the profit. In addition, we propose a production planning process that gives a priority to new products, reflecting daily fluctuations in demand to weekly production planning.
We validate our model with real data sets obtained from a major company semiconductor manufacturer and performed the paired t-test to verify the results. The results showed that our model forecasted profit and loss with 93.2% accuracy and improved the due date satisfaction by 10%.