Instron technologies enables digital transformation in manufacturing industries with industrial internet of things (IIoT) solutions powered by industry 4.0.
Assistance to accelerate plant efficiency and productivity by reducing the cost of operations, utility consumptions and losses is the primary motive of our solution.
The industry needs to provide a quick response to deviations from Standard Operating Conditions to minimize the revenue loss and ensure effective use of skilled manpower.
How IoT Systems Works?
Customised Dashboard
Process Parameters
Production - Plan Vs Actual
Machine Downtime(OEE)
Plant Health
Key Performance Indicators
Live Trends
Customize Reports
Utility Summary Report
Machine Performance Report
Condition Based Monitoring Report
Production Report
Operator Performance Report
Machine Downtime Report
Alerts & Notifications
All KPI Deviations (High/Low or On/Off)
Push Notifications on Android & iOS Devices
Email Alerts
Benefits
Over existing System
Machine Production reports
Precise hour/slot wise production to track hourly performance
Paperless work (minimal operator intervention) with history for more than 2 years….in current system paper logs are scrapped.
Precise Action plan through Root Cause Analysis
Pi chart indicating Quality/Productivity/Availability loss highlighting significant areas of improvement.
Operator performance report
With supervisor and machine name in same report.
Downtime calculation
Actual downtime values against planned break times.
Maintenance
Increased machine availability
Diagnosis – pinpointing the failure through alerts, On-The-Go.
Prognosis – gauging the parameter behavior and informing users in advance.
Better communication between cross functions because of paperless methods.
Improvement of system
Understanding the failures and its pattern by knowing the history of the machine maintenance.
Help in making future action plan repair/replacement/upgrade of assets.
IoT for Organization
Traceability of all process, material and people related variable for every wheel shipped out for root cause analysis
Cost optimization using benchmarking of energy consumption across all sections.