Manufacturing Terms

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Machine Learning (ML)

manufacturing

A subset of artificial intelligence involving algorithms that enable computers to learn from data patterns.

expanded

Machine Learning (ML) algorithms are employed in manufacturing to optimize processes by analyzing historical data and predicting future trends. ML can enhance production efficiency by adjusting parameters in real-time based on data inputs from various sensors and systems. It contributes significantly to predictive maintenance, quality control, and supply chain optimization.

examples

A manufacturing plant uses ML to predict machine failures.

In an automotive assembly line, ML algorithms analyze vibration and temperature data from CNC machines to preemptively schedule maintenance before a failure occurs.

Improving product quality using ML.

A food processing facility applies ML to real-time image processing to detect defects such as packaging misalignment or spills, reducing waste by accurately sorting products.

related terms

Artificial Intelligence (AI)
AI refers to the simulation of human intelligence processes by machines, particularly computer systems.
Predictive maintenance
Predictive maintenance is a technique to foresee equipment failures through data analysis and condition monitoring.
Milling
Milling is a machining process involving the use of rotary cutters to remove material from a workpiece.
Connectivity
The ability of manufacturing equipment to communicate through digital networks and protocols.
Big data
Big data refers to the large volume of data that is generated and captured by organizations, which cannot be efficiently processed by traditional data processing techniques.