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Machine Utilization & OEE Monitoring Management System

Track equipment performance live, eliminate downtime fast, and unlock peak production across your operations.

Trusted by over 150 manufacturing teams across India to monitor machine utilization and improve Overall Equipment Effectiveness every day.

Common Machine Monitoring Challenges in Manufacturing

Manufacturing teams struggle with incomplete visibility into machine performance, leading to unexpected downtime and production delays that impact delivery schedules. Manual data collection creates gaps in understanding why equipment fails or runs below capacity, making efficiency improvements nearly impossible.

No real-time visibility into machine availability, performance quality, or utilization rates

Downtime causes remain unclear due to manual logging and incomplete shift handover

Production losses accumulate from untracked micro-stops, speed losses, and quality defects

Shift reports take hours to compile manually, delaying corrective action on floor

How Supista Solves Machine Monitoring Problems

Supista MU&OEEMMS connects to your machines and operators to capture real-time performance data, downtime events, and quality metrics automatically. The system calculates OEE components instantly, generates shift reports on demand, and highlights loss patterns so teams can act quickly.

Live dashboards show machine availability, performance efficiency, and quality rates across all equipment

Auto-capture downtime events with operator-assigned loss reasons for accurate root cause analysis

Workflow automation interface

AI-powered analytics identify recurring bottlenecks, speed losses, and quality issues by shift

One-click shift reports delivered to supervisors and managers with actionable performance insights

Key Features for Equipment Monitoring

Real-time OEE visibility across all machines.

Auto-capture stoppages with clear loss reasons.

Supista MU&OEEMMS delivers live performance visibility, automated reporting, and actionable downtime insights to drive higher throughput.

Workflow automation interface

Instant shift reports with OEE and output metrics.

Visual breakdown of top production losses.

Connect Your Machines

Integrate Supista with existing PLCs, sensors, or manual operator inputs to start capturing machine runtime, idle time, and production counts automatically.

Configure Loss Categories

Set up your facility's specific downtime reasons, changeover types, and quality defect categories so operators can accurately classify production losses.

Monitor and Optimize

View live OEE dashboards, receive automated shift reports, and analyze loss patterns to prioritize improvement actions that increase equipment effectiveness.

Get Started in Three Steps

Workflow automation interface

Business Benefits for Manufacturing Operations

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Reduce time spent on manual data collection and shift report generation by 80%

Reduce time spent on manual data collection and shift report generation by 80%

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Reduce time spent on manual data collection and shift report generation by 80%

Reduce time spent on manual data collection and shift report generation by 80%

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Reduce time spent on manual data collection and shift report generation by 80%

Reduce time spent on manual data collection and shift report generation by 80%

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Increase equipment utilization rates by identifying and eliminating hidden downtime and micro-stops

Reduce time spent on manual data collection and shift report generation by 80%

Reduce time spent on manual data collection and shift report generation by 80%

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Improve decision-making speed with real-time visibility into machine performance and production bottlenecks

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Lower production costs through targeted reduction of availability losses, speed losses, and quality defects

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Enable continuous improvement culture with data-driven insights into equipment effectiveness across all shifts

Scenario illustration

How Manufacturing Teams Use Supista

Discrete Manufacturing Plants

Auto parts and electronics manufacturers track OEE across multiple production lines, compare shift performance, and reduce changeover time through detailed loss analysis.

Process Manufacturing Facilities

Food processing and chemical plants monitor batch cycle times, equipment downtime, and quality yield to optimize throughput and meet production schedules consistently.

Heavy Equipment Production

Machinery and equipment manufacturers analyze machine availability patterns, plan preventive maintenance based on downtime data, and improve overall production capacity utilization.

What Manufacturing Teams Say

Production Manager

"Supista gave us real visibility into why our machines were stopping. We identified a recurring setup issue causing 15% downtime and fixed it within two weeks."

Production Manager
Automotive Components Manufacturer
Plant Head

"Shift reports used to take our supervisors 90 minutes every day. Now Supista generates them automatically, and our team uses that time to solve problems instead."

Plant Head
Food Processing Unit

Frequently Asked Questions

FAQ illustration
What is OEE and why should manufacturers track it?
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OEE measures overall equipment effectiveness by combining availability, performance, and quality metrics into one score that reflects production efficiency. Tracking OEE helps manufacturers identify specific loss categories causing underperformance and prioritize improvement initiatives that increase output without adding equipment.
How does Supista capture downtime and loss reasons automatically?
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Supista connects to machine PLCs and sensors to detect when equipment stops running, then prompts operators via mobile interface to assign specific loss reasons. This combination of automatic detection and operator input ensures accurate downtime classification without manual logbooks or spreadsheets slowing down the process.
Can we use this system without connecting machines directly?
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Yes, Supista supports manual operator input mode where production staff log machine states, downtime events, and counts through mobile devices. While direct machine integration provides more accurate timing, manual mode still delivers valuable OEE insights and automated shift reports for facilities without sensor infrastructure.
How quickly can manufacturing teams see productivity improvements?
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Most manufacturing teams identify their top three loss categories within the first week of using Supista's downtime analytics and shift reports. Implementing corrective actions based on these insights typically shows measurable OEE improvements within 4-6 weeks as teams eliminate recurring downtime causes and optimize changeover procedures.

Start Monitoring Equipment Effectiveness Today

Gain real-time machine visibility, cut downtime, and boost productivity across every shift.

Supista MU&OEEMMS helps manufacturers track OEE, reduce downtime, and maximize output with live performance data, automated shift reports, and actionable loss insights. Eliminate manual tracking, benchmark performance, and drive continuous improvement across operations.
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