Chapter 10: SPC Implementation, Case Studies, and Future Trends
Abstract: Statistical Process Control (SPC) is a data-driven methodology used to monitor, control, and improve processes by reducing variation, primarily through tools like control charts and process capability analysis. Implementing SPC moves manufacturers from reactive, "after-the-fact" inspection to proactive prevention of defects . SPC Implementation Steps Successful SPC implementation generally follows these steps: Identify Critical Process Parameters (CPPs): Define which variables (e.g., temperature, weight, dimension) most affect product quality. Establish a Baseline: Analyze the current process capability to determine if it is in a state of statistical control. Implement Control Charts: Use X-bar and R charts or other, more sophisticated, charts to monitor process stability in real-time. Train Personnel: Educate operators to identify and interpret out-of-control points to take corrective action. Continuous Monitoring and Action: ...