Turn Production Data into Operational Excellence
Epsum Labs' Production Analytics platform collects, analyses, and visualises production data in real time — helping you monitor performance, identify bottlenecks, reduce downtime, and make data-driven decisions across every stage of manufacturing.
Production managers often rely on manual reports and spreadsheets, hidden bottlenecks reduce output, unplanned downtime impacts targets, material wastage cuts yields, inaccurate planning disrupts schedules, and quality issues increase rework — all limiting profitability.
Key Benefits
Increase Production Efficiency
Reduce Downtime
Improve Throughput and Product Quality
Optimise Resource Utilisation
Reduce Production Costs
Increase Overall Equipment Effectiveness (OEE)
Core Modules
Real-Time Production Monitoring
Live production dashboards with production count tracking, shift-wise and line-wise monitoring, batch tracking, and production target monitoring for instant visibility and faster issue response.
Production Performance Analytics
Daily, weekly, and monthly performance trends, production variance analysis, efficiency tracking, capacity utilisation, throughput analysis, and benchmarking to identify gaps and improve planning.
Overall Equipment Effectiveness (OEE)
Availability, performance, and quality monitoring with OEE calculation, trend analysis, machine comparison, and shift-wise OEE reports — using the industry-standard formula: Availability × Performance × Quality = OEE.
Downtime Analytics
Planned and unplanned downtime analysis, breakdown monitoring, idle time analysis, downtime classification, root cause analysis, MTBF and MTTR monitoring to reduce machine stoppages and improve availability.
Production Loss Analysis
Material loss analysis, process loss monitoring, rework and scrap analysis, yield analysis, and productivity loss tracking to reduce wastage and improve profitability.
Bottleneck Analysis
Process flow analysis, bottleneck identification, line balancing, cycle time monitoring, throughput analysis, and queue analysis to improve process efficiency and increase output.
Quality Analytics
Defect and rejection analysis, process quality monitoring, quality trend analysis, statistical process control (SPC), and quality performance dashboards to reduce defects and lower rework costs.
AI-Based Predictive Production Analytics
AI models predict production output, downtime, equipment failures, and demand — with process anomaly detection and optimisation recommendations for proactive, data-driven decision-making.
Industries Served
Steel & Metal Plants
Mining
Cement Manufacturing
Power Plants
Automotive
Food & Beverage
Pharmaceutical
Chemical Industries
Paper & Pulp
Textile
Heavy Engineering
Process Manufacturing
Business Outcomes
10–25%
Increase in Production Efficiency
15–30%
Reduction in Downtime
10–20%
Improvement in OEE
Reduced Production Losses and Improved Yield
Better Resource Utilisation and Product Quality
Measure. Analyse. Optimise. Improve.
Empower your manufacturing operations with intelligent Production Analytics that transforms raw data into measurable business results.