Transform Your Manufacturing with IoT

Empower Your Factory with Data-Driven Decision-Making!
Safe and error-free operations

IoT Powered Solutions: Embrace Automation, Digitize Your Operations

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5%

REDUCTION in capital expense

10%

SAVE TIME SPENT searching assets

80%

ACHIEVE OEE scores upto

70%

REDUCTION in breakdowns

25%

SAVINGS on maintenance expenses

IoT in Manufacturing:
Applications for Today and Future

Predictive Maintenance

Analyze the machine's health with trained vibration analysts to uncover problems like motor faults, gearbox failures, bubbles in the pump, etc., without removing the equipment from the production line.

Asset Tracking

Track mission-critical assets to know the precise asset location, minimize asset searches, and maximize workforce engagement. Mount beacons on assets and read the transmitted data packets.

Energy Monitoring

Energy metering solution provides near real-time insights into energy consumption to a granular level for maximizing energy efficiency and mobile alerts on power failures to restore power quickly.

Increased Efficiency

Industrial IoT(IIoT) gives manufacturers the ability to optimize their operating efficiency via automation of tasks that are Critical to Quality(CTQ) and Critical To Process(CTP).

Air Quality Monitoring

Measure factory air quality from anywhere to render air free from particulate matter, CO2, Ammonia, and other pollutants for timely corrective measures and safe operations.

Track Inventory Items

IoT enables manufacturers to track the availability, location, and quantity of specific high-value inventory items for a specific duration without checking with inventory managers.

Comprehensive IoT Solutions for Streamlined Manufacturing,
Maximized Efficiency, and Equipment Uptime

Corrective Maintenance using IoT

Detect equipment failures with sensors mounted on them. Innomaint EAM application can create a ticket automatically upon sensing such a breakdown. Thus EAM software brings serious issues to notice immediately.

Especially useful during night shifts
Instant response to breakdown
Bring down reactive maintenance costs

OEE Monitoring

Monitor production lines via IoT sensors to detect and capture manufacturing metrics such as actual machine runtime, rejected goods quantity, etc.

Reduce asset downtime, production & rework costs
Insights into equipment, shift, and operator performance
Quick flow of information to eliminate bottlenecks

Real-time Asset Tracking

Mount sensors over critical assets and identify their location live by checking in and checking out within a specified range of BLE/RFID reader devices in a wireless and low bandwidth set-up.

Reports on asset movements & damage for data driven decisions
Eliminates over purchasing fearing shortage, asset misplacement, etc
Pocket-friendly devices with rapid deployment within 10 minutes

Vibration Monitoring

Progress towards predictive maintenance by automating vibration analysis. Record vibrations using modern sensors and analyze it using digital techniques against normal patterns to identify anomalies to avoid production shutdowns.

Detect and fix equipment lubrication, misalignment & imbalance issues early
Investigate the operational conditions and status of machines & structures
Vibration analysis is best for heavy equipment that cannot be easily removed

Low-code ERP integration

Build powerful workflows and connectors between your EAM/CMMS and existing manufacturing or standard ERP software to realize the potential of combined capabilities in lesser time and cost.

Get rid of the slowness of building connections internally
Feel safe and secure that data flows both ways
Visibility into quality metrics for sound decisions

Turn your manufacturing plant into smart factory for intelligent,
safe and error-free operations.

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Frequently Asked Questions

What are the applications of IoT in Manufacturing?

The Manufacturing industry uses IIoT for various purposes, such as preventive and corrective maintenance automation. It allows manufacturers to transition from corrective to preventive to predictive maintenance.

Who benefits from IoT - small-scale or large-scale manufacturers?

Both large and small-scale manufacturing units can benefit from IoT.

Why do manufacturing plants use IoT?

The key drivers for IoT in Manufacturing are a shortage of skilled workforce, a decline in production quality and productivity, fierce competition from emerging markets, etc.

How do machine learning and IoT concepts differ?

Machine learning is a part of artificial intelligence. It trains systems to learn and work on data without explicit coding. Industrial IoT is an advanced variant of machine learning in that it interconnects physical objects for data collection and sharing.

How does the Internet of Things influence manufacturing plants?

IoT uses sensors, BLE/RFID readers, and wireless connectivity. These technologies help manufacturers measure and improve the production cycle efficiency and quality of manufactured goods. IoT helps factories progress towards predictive maintenance to achieve never-before excellence in factory management.

Is IoT implementation costly?

It is very well affordable. Manufacturers, who have implemented smart devices, sensors, and associated software platforms, are already harvesting the benefits of a connected environment. Many of these factories made just a little investment.