MBrain’s Statistical Process Control (SPC) feature enables manufacturers to monitor, control, and optimize their processes by leveraging statistical analysis and real-time data monitoring. By detecting variations and trends, MBrain ensures consistent quality and process stability.
Key Capabilities:
Real-Time Statistical Process Control – MBrain can continuously analyze production data, detecting anomalies and deviations from expected process behavior.
Automatic Nelson Rule Detection – MBrain applies Nelson’s eight statistical patterns to identify irregularities in process data, enabling proactive corrective actions.
Machine & Process Capability Metrics – Automatic calculations of Cp/Cpk (process capability indices) help manufacturers assess production stability and performance.
Standard Deviation Monitoring – By evaluating standard deviations, users gain deeper insights into process variations and opportunities for improvement.
Automated Notifications & Alerts – When an SPC pattern is triggered, MBrain sends alerts to notify users, allowing quick intervention to prevent defects or downtime.
Drag & Drop Deployment – SPC monitoring can be quickly set up and customized using MBrain’s intuitive no-code interface.
Seamless Equipment Integration – MBrain connects with IoT sensors, PLCs, and machines on the shopfloor to collect real-time process data for SPC analysis.
How It Works in MBrain:
Data Collection – Real-time data is gathered from shopfloor sensors, devices, or MTalk (MBrain’s IoT platform).
SPC Subscription Setup – Users configure MBrain to subscribe to relevant data stream(s) and apply SPC analysis.
Real-Time Monitoring – MBrain continuously checks for outliers and process trends based on Nelson’s eight rules.
Alerts & Notifications – If a pattern violation is detected, an alert is generated to inform operators of potential issues.
Process Optimization – Users analyze SPC reports and graphs to make informed decisions for quality improvement and waste reduction.
MBrain’s SPC service empowers manufacturers achieve and maintain high process reliability, minimize defects, and optimize production performance with minimal manual intervention.