SPC Visual

SPC- Statistical Process Control is a method utilized in manufacturing and process industries to monitor, control, and improve processes by employing statistical techniques. The primary objective of SPC is to ensure that processes operate efficiently and consistently, producing high-quality output while minimizing variation.
SPC apply statistical probability theory to monitor process fluctuations and to keep them under control.
One of the main metrics in SPC is the Process Capability Index (Cpk). Cpk is a powerful statistical measure to assess the performance and capability of a process. It quantifies a process’s ability to meet specifications and provides insights into how well a process can consistently produce results within specified limits. Cpk helps quality professionals and process engineers assess process performance. It ensures products or services meet customer expectations and maintain a competitive edge. The visual calculates the Cpk value according to ISO 22514 norm considering different probability distributions such as normal, weilbull, exponential, beta, logistic, gamma, cauchy, ..etc.
Versions:

• 1.1 Integration of online/real-time spc capability, allowing to differentiate between various value categories (product categories) mixed in one measure. This enables process operators to utilize the visual in real-time environment.
• 1.2 Integration of action log, allowing to visualise actions within Individuals chart and to consider the changes within distribution model approximation.

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