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Industry 4.0 helps pharmaceutical manufacturers mitigate risk

Data driven plants are the key to reducing risk, reducing batch loss, and increasing pharmaceutical manufacturing performance


AI predictive analytics alone cuts asset downtime in half and reduces equipment maintenance costs by more than 20 percent

IoT enabled, A.I. real-time data detection and analytics produces actionable insights that enhance pharmaceutical operations by improving product quality, reducing batch loss, asset costs and improving business performance. Aidentyx smart applications access and gather information from equipment, processes and formerly siloed environments across the plant to create new insights that are key to achieving pharmaceutical manufacturing excellence. Real-time data produces intelligence that deliver products to market faster, with less risk, made by equipment that lasts longer. 

Intelligent Manufacturing Make Predictive Based Maintenance the Norm for Pharma Manufacturing

A leader in engineering automation, equipment monitoring, and process control for smart manufacturing, Grandview APM from Aidentyx focuses on Asset Health Monitoring, Predictive Maintenance, and Total Asset Optimization.  Grandview APM solutions deliver A.I. Equipment Health Monitoring, and Predictive maintenance solution detects and classifies faults in production to guard against events that cause batch loss. A.I. driven predictive maintenance application then estimates when your equipment will fail offering a remaining useful life (RUL). This new approach moves customers to a more accurate conditioned based maintenance versus the more costly scheduled based approach. The result:  An efficient, data driven factory with continuous improvement resulting in minimal  equipment downtime, less costly and more accurate condition-based maintenance, extended asset life and an overall improvement in manufacturing effectiveness.

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