Artificial Intelligence is revolutionizing manufacturing by analyzing big data collected from factory floors and applying advanced analytics methods to offer factory staff smart predictions, recommendations and AI process optimization.
WHAT ARE AI SOLUTIONS FOR MANUFACTURING?
Artificial Intelligence (AI) is a wide-ranging branch of computer science practices concerned with building smart software capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, pattern recognition, perception and the ability to move and manipulate objects.
In manufacturing, Industry 4.0 applications are based on a unified AI approach that enables manufacturers to further increase their business value. AI technology analyzes the collected production data as well as real-time sensor data and makes on-the-fly predictions and decisions based on what’s actually happening on the production floor.
DIGITAL ASSISTANTS FOR REAL-TIME DECISION MAKING
Plataine’s AI-based Digital Assistants provide actionable predictions and recommendations to production managers and staff, enabling them to optimize production operations and solve manufacturing problems in real-time.
Plataine’s ‘smart material selection’ optimally assigns material to jobs and automatically creates pick lists for the operators. Digital Assistant sends alerts and actionable insights when there are expired, soon-to-be expired or over exposed materials, to prevent material waste and quality issues.
Plataine’s software features predictive maintenance, meaning the Digital Assistant sends timely recommendations when a mold requires upkeep. Recommendations are sent on a predictive basis so that shutdowns can be avoided altogether.
Benefits of a fully connected AI and IIoT system
Harness AI to bring optimization to new levels
Collecting data from sensors in real-time
Machine learning and AI provide predictions & recommendations
Driving efficiency, while reducing rework and waste