The metal foundry industry has been producing various parts to support many engineering works, such as those in the automotive industry, mechanical parts in manufacturing industry, and electronic components and equipment in electronical an electronic engineering industries. Most industries had analyzed the data from their production processes using statistical methods to increase their productivity. However, some entrepreneurs still lack knowledge and understanding about how to apply the data to monitor and control their production process, which can lead to low-quality manufacturing.

The implementation of a statistical software application based on the use of a control chart to monitor and control the production process of the foundry industry is a technique for analyzing the work process so as to avoid the occurrence of problems and wastes. This statistical software application also helps reduce the production cost.

In theory, the statistical analysis consists process of 4 steps, as follows.
1. Identifying for various factors that can affect the production process by using metallurgical knowledge.
2. Calculating the control limits based on the data obtained from the production process.
3. Gathering the data to plot in the control chart.
4. Analyzing the finished data and detecting any abnormalities.

This software application provides an algorithm for detecting the fragmentation of the abnormal data. If there are any abnormalities, the operators will detect them and find the way to improve their production process.