Essay on Statistical Process Control (SPC)

Statistical Process Control (SPC)

Statistical Process Control (SPC) is a statistical method that separates special cause variation from natural variation to eradicate the special causes and to develop and sustain homogeneity in the process, leading to process enhancement. The key element of SPS is continual improvement. It improves the predictability of the processes of the entire plant. Another benefit of SPC is that it assists in improving the quality of the product while minimizing the cost. This tool is embraced widely by the automakers for the reason that it only improves the quality of the product while reducing the costs but also enhances the image of the product for competing successfully in the global market.

Key Components of Statistical Process Control

The key components of SPC include control charts that focus on continuous improvement and experiment design. This tool is widely applied in the manufacturing lines.

It enables the workers to separate the main causes of variations from the natural variations in the process. The process is declared statistically controlled if all the special causes are identified and eliminated, and only natural variations are left.

After this state is achieved, the process is termed stable, and as per the 3-sigma process, 99.73% of the output can be viewed as within the statistical control limits.

The SPC differs from other quality and productivity methods in that it focuses on early detection and prevention of uncertainties instead of applying corrective measures after the problem has occurred.

In any organization, TOC has broad applications; its implementation can result in decreased production lead times, enhanced quality of products and services, on-time delivery of the service and product, enhanced competitiveness and dramatic rise in profitability.

The theory is extremely beneficial for measuring and improving productivity as it identifies the core constraints that can limit the system’s performance or the processes that act as a bottleneck and can be utilized to remove those constraints or bottlenecks, thereby achieving higher productivity.