Factories have variety of machines, equipment, instruments, things which are put to use to manufacture a product. Be it a discrete product manufacturing industry or a process industry, there is a need to acquire/capture real-time data related to production, quality, rejections, machine parameters, process meters which provide useful insights into the product quality, machine health, process health etc. In simple terms “What gets measures gets monitored…what gets monitored gets analysed….what gets analysed gets controlled…..what gets controlled gets optimised”
IoT platforms provide built-in tools & capabilities to quickly build IoT system suitable for user specific needs. A typical IoT platform provides capabilities to connect machines, capture data, store it, analyse it, use for machine learning & artificial intelligence.
Define overall enterprise IoT strategy
Evolve implementation use cases
Establish data capturing needs
Evolve system architecture & technology stack
Realtime data capturing
Which data to capture
Define frequency
Data Integration
Sensor selection & KPI
OEE calculations
Downtime analysis
Process capability analysis Cp, Cpk
Product quality measurement
Material consumption & traceability
Assets track & trace
Predictive maintenance
Quality visualisation
Process capability visualisation
Controlling parameters