This PPT slide, part of the 138-slide Six Sigma - Statistical Process Control (SPC) PowerPoint presentation, presents a visual representation of Statistical Process Control (SPC) focusing on the distinction between common and special causes of variation in processes. It illustrates 2 scenarios: one where common causes dominate and another where special causes are prevalent.
In the first scenario, the output of a process characterized by common causes forms a stable and predictable distribution over time, depicted by green curves. This stability suggests that the process is operating within its normal range, allowing for reliable predictions about future performance. The accompanying graph indicates a consistent trend, reinforcing the notion of predictability in outcomes.
Conversely, the second scenario highlights the impact of special causes of variation, represented by red curves. Here, the output lacks stability and predictability, indicating that external factors or anomalies are influencing the process. The graph shows erratic behavior, suggesting that the process may be subject to unexpected changes, making it difficult to forecast future results accurately.
The question mark in the prediction line for the special causes scenario emphasizes uncertainty, signaling that without addressing these special causes, the process cannot be effectively controlled. This distinction is crucial for organizations aiming to improve operational efficiency. Understanding whether variations stem from common or special causes can guide decision-making and process improvement initiatives.
This slide serves as a foundational piece for those looking to grasp SPC principles, offering insights into how variations affect process stability and predictability. It underscores the importance of identifying the root causes of variation to enhance process management and drive better outcomes.
This slide is part of the Six Sigma - Statistical Process Control (SPC) PowerPoint presentation.
Developed by a Senior Executive and Operational Excellence Coach with experience at organizations including NOKIA, MICROVENTION, and MAGELLAN, this presentation provides a detailed Introduction to Statistical Process Control (SPC) Charts.
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