Quality has become one of the most important factors for the selection of product by customers. A
winning company will need to ensure a good quality in every aspect of its operation, from design to
manufacturing to after sales service. This will ensure the product have a good quality and reduce the
unnecessary costs of repairing faulty products. There have been many quality tools and methods
developed since the start of industrial age in Europe that are used to improve the quality of the
product or services. Statistical Process control, SPC is a tool to prevent defects by applying
statistical methods to control the process by monitoring, controlling, and adjusting the process to
ensure correct performance. Hence, SPC reduces the possibility of out of control process that
produce defective products. SPC can be used to analyze the variability of the process and display the
result graphically using control charts. However training is needed to enable the operator to
understand the chart and carry out proper analysis of the chart to detect out of control process in
real-time. Therefore a more convenient tool needs to be developed to help the operator to analysis
the charts. The Tool was developed using the Excel VBA macro, which allows the user to key in the
data into the software program and the tool will analyze the data to identify any out of control
process. The program will be able to generate three types of control chart to help the operator to
monitor the process; the three charts are X bar R chart, NP chart, and Moving Range Chart.
STATISTICAL PROCESS CONTROL (SPC) TOOL TO RECOGNIZE UNNATURAL PATTERNS ON SPC CHARTS_Kong Sieng Kim_E3_2007_875002950_NI