01 / ANALYZE DATA
Analyze data
Live & Historical data feed from Machines, sensors, ERP, MES & other quality systems is analysed to detect patterns & establish relationships
PREDIQ
Predictive QualityPlatform
Understand how production parameters affect quality. Simulate deviations, optimize settings and act before defects occur.
PQ / PROCESS INTELLIGENCE01—04
INPUTS → MODEL → INSIGHTConceptual process model
AHEAD OF THE DEFECT
01
Identify
Key parameters leading to quality issues
02
Optimize
Process parameters to reduce defects
03
Alert
Proactive actions for potential defects
INSIDE PREDIQ
PREDICTIVE QUALITYBetter parameters. Better quality.
PrediQ simulates and recommends environments to test out deviations in production parameters and the likely impact on product quality. Through advanced machine learning models, industrial IoT and, optimization techniques, we enable proactive control of the process parameters.
Machine learningIndustrial IoTOptimization
Predictive Quality Platform
02 / SIMULATOR
Simulator
Play out scenarios by entering different values of process parameters & analyse it’s impact on the defect probability
Live dataHistorical data
03 / RECOMMENDER
Recommender
Identify optimal process parameters settings through automated Insights & prescriptive analytics to optimize performance & quality
04 / PREDICTOR
Predictor
Predict quality in real-time by identifying and monitoring process conditions that may have previously led to defect. Proactively send detailed, relevant & prioritized alerts to the operators & supervisors, with sufficient lead times
05 / PREDICTIVE QUALITY PLATFORM
Predictive Quality Platform
Through advanced machine learning models, industrial IoT and, optimization techniques, we enable proactive control of the process parameters.
THE SEQUENCE, AS A STORYBOARD
Predictive Quality Platform
Analyze data
Live & Historical data feed from Machines, sensors, ERP, MES & other quality systems is analysed to detect patterns & establish relationships
Simulator
Play out scenarios by entering different values of process parameters & analyse it’s impact on the defect probability
Recommender
Identify optimal process parameters settings through automated Insights & prescriptive analytics to optimize performance & quality
Predictor
Predict quality in real-time by identifying and monitoring process conditions that may have previously led to defect. Proactively send detailed, relevant & prioritized alerts to the operators & supervisors, with sufficient lead times
Predictive Quality Platform
Through advanced machine learning models, industrial IoT and, optimization techniques, we enable proactive control of the process parameters.
01 / THE INTELLIGENCE LOOP
Key features
Through advanced machine learning models, industrial IoT and, optimization techniques, we enable proactive control of the process parameters.
PQ / PROCESS INTELLIGENCE01 / ANALYZE
Process response modelILLUSTRATIVE
MachinesSensorsERP / MES
01Analyze
02Simulate
03Recommend
04Predict
Analyze data
Connect live and historical process signals.
01 / ANALYZE DATA
Analyze data
Live & Historical data feed from Machines, sensors, ERP, MES & other quality systems is analysed to detect patterns & establish relationships
02 / SIMULATOR
Simulator
Play out scenarios by entering different values of process parameters & analyse it’s impact on the defect probability
03 / RECOMMENDER
Recommender
Identify optimal process parameters settings through automated Insights & prescriptive analytics to optimize performance & quality
04 / PREDICTOR
Predictor
Predict quality in real-time by identifying and monitoring process conditions that may have previously led to defect. Proactively send detailed, relevant & prioritized alerts to the operators & supervisors, with sufficient lead times
04
Stages in the intelligence loop
05
Connected sources behind the insight
03
Operating principles: identify, optimize, alert
THE SIGNALS BEHIND THE INSIGHT
Machines+Sensors+ERP+MES+Quality systems