"Process control" refers to the monitoring and management of business processes to ensure they are executed according to defined standards, guidelines, and objectives. The goal of process control is to detect deviations early, identify problems, and take actions to make processes more efficient and effective. This includes monitoring process parameters, adhering to schedules, identifying bottlenecks, and implementing quality controls.
Typical functions of software in the "process control" area are:
Real-time monitoring: Continuous monitoring of process performance in real-time to detect deviations or issues immediately.
Alarms and notifications: Automated alerting and notifications for deviations from defined process parameters or goals.
Trend analysis: Analysis of process trends over a specific period to identify patterns and predict future performance.
Feedback loops: Establishing feedback loops to gather and implement information about process improvements and adjustments.
Automation of control loops: Automating control loops and control systems to adjust process parameters in real-time.
Data visualization: Visualizing process data through graphs, charts, and dashboards to facilitate analysis and interpretation.
Quality control: Implementing quality controls and inspection procedures to ensure processes meet quality standards.
Performance metrics: Capturing and calculating performance metrics such as throughput, cycle time, and yield to assess process performance.
Historical data analysis: Analyzing historical process data to identify root causes of issues and plan long-term improvements.