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Predictive Maintenance as a Service
Poor maintenance strategies can bring down the overall production capacity of any plant by 20-30% or completely halt production for weeks. A predictive approach not only helps plant maintenance teams to take better control of the maintenance schedule but also diagnoses undetected issues and recommends timely
corrections.
With accurate diagnostics and recommendations, plant maintenance and condition-based
monitoring teams can quickly react to potential downtime and avoid production-related risks. Eliminate unplanned downtime & reduce operational hassles for superior factory performance.
Machine Diagnostics & Remote Monitoring Services
Reliability engineers can get timely insights into the health of the machine before or during an outage to make practical operational decisions even on the go. Remote asset monitoring can decrease the time for troubleshooting and diagnosis and bring down the total cost of ownership of a maintenance operation. Remote monitoring services also enable safer working conditions for condition-monitoring and production teams even in potentially hazardous work environments by reducing the risk of harmful conditions. Monitor and optimize the health of your factory assets from anywhere, anytime, and on any device.
Asset Optimization Services
Leverage powerful analytics and data-driven intelligence to optimize the utilization and life-cycle of factory
assets. Running an asset-intensive process manufacturing plant can be costly, time-consuming, and laborious.
Besides, there exists a potential risk of equipment failure which can quickly turn into a catastrophic incident
directly impacting the safety and production output.
With continuous and real-time asset monitoring,
manufacturing leaders can take better control of their asset inventory, reduce spares cost and improve the
overall efficiency of the plant. Improve the remaining useful life of your rotating assets and experience a rapid return on factory
investments.
Digital Reliability Services
Empower your maintenance and reliability teams with real-time data to interpret shifts in machine performance,
detect anomalies quickly and reduce the occurrence of faults and interventions over time.
A smart predictive maintenance approach adds more effectiveness to maintenance procedures by converting
corrective actions into documented downtime savings; improves critical metrics like mean time to repair (MTTR),
mean time between failure (MTBF), and creates a smarter network of connected assets. Create responsive
maintenance strategies by leveraging smart technologies and a Digital-First approach.
Industry Specialization
Chemicals and Fertilizers
Cement
Forecast equipment failures. Reduce unplanned downtime. Improve plant productivity. Optimize maintenance strategies.
Steel
Leverage Uninterrupted production with optimal maintenance strategies. Predict equipment failures & minimize unplanned downtime to Prioritize Plant Productivity.
Metals
Empower plant operations and maintenance. Mitigate machine failures. Minimize unplanned downtime. Achieve digital reliability.
FMCG
Adopt Cloud Enabled Digital Reliability Solutions. Forecast and mitigate equipment failures. Maximize Asset Uptime and Operational Performance.
Chemicals and Fertilizers
Minimize equipment failures causing unplanned downtime. Prioritize predictive maintenance to optimize asset availability and plant productivity.
Tire
Diagnose and fix equipment faults. Reduce unplanned downtime for all production lines. Enhance operational efficiency and plant productivity.
Pharmaceutical
Adopt Cloud Enabled Digital Reliability Solutions. Forecast and mitigate equipment failures. Maximize Asset Uptime and Operational Performance.
Oil and Gas
Maximize production uptime and mitigate machine failures with predictive analytics. Improve plant productivity with responsive maintenance strategies.
Automotive
Drive plant productivity with optimized maintenance strategies. Predict machine malfunctions to take corrective actions and minimize unplanned downtime.
Why Predictive Maintenance?
- Track key metrics like MTBF, Health Scores, False Positives (FP%) & False Negatives (FN%) to improve the health of your rotatory assets.
- Identify warning signs of potential downtime or production risks with predictive analytics.
- Streamline the production process and quality throughput during the manufacturing lifecycle.
- Create best practices maintenance to guarantee asset availability and ensure safer and more efficient operations.
- Reduce inventory costs and optimize maintenance-related expenditures by 20-30% year on year.
- Generate substantial savings with energy-efficient operations and increase equipment availability
- Scale your maintenance programs with smart technology and optimum staff
- Reduce overtime cost and realign the responsibilities of maintenance staff for more productive operations
- Transform your machine data into intelligent machine insights with AI, precision analytics, and industrial IoT.
- Replicate the maintenance best practices, and hyper-scale up your reliability programs equipment by equipment and plant by plant.
- Build a connected enterprise with smart processes and a man-machine-technology ecosystem.
- Create a digital drive in your enterprise to attain Industry 4.0 objectives and profitability.
- Minimize the probability of major accidents and lower MMIT (Man-machine interface time)
- Avoid touching hot surfaces and risks from accessing the equipment in a potentially hazardous environment or difficult-to-access location
- Ensure ATEX standards for Zone-Zero and potentially explosive environments
- Reduce incidents and operational overheads that may directly impact the bottom line and reputation of the business.
- Drive Green Manufacturing objectives by reducing the overall operational wastage
- Reduce carbon footprint maximizing asset life, and ensuring no operational wastages
- Create competitive advantages, optimize energy consumption and build operations that are environmentally responsible and resource-efficient
- Let technology to the job and reduce the climate impact by driving responsible manufacturing
Case Studies
- All
- Cement
- Steel
- Metals
- Chemical
- Tire
- Automotive
Diagnostics using Shockwave and Total Acceleration prevents downtime at a Gas Anode Plant.
Metals
Predictive Maintenance & Digital Reliability Solutions for Packaging Industry
FMCG
Digital Reliability solution for solar glass manufacturer
Glass
What our clients say
Honda Motorcycle & Scooter India Pvt. Ltd.
We have been using the real-time Diagnostic services rendered by Infinite Uptime and obtaining the customized reports along with the spectrum analysis. The System effectively triggers the alarms of impending failure, thus facilitating Predictive Maintenance in the Plant. We are now subscribing to these services in our other plants too.
Honda Motorcycle & Scooter India Pvt. Ltd.
Reliance Industries Limited
Infinite Uptime’s Vibration Monitoring Solution for Predictive Maintenance has measured high on our expectations of quality, flexibility and in-depth knowledge and has continuously raised the bar. I must say the Diagnostic Services offered at a reasonable cost has increased the reliability of the equipment and reduced the investment in spares-inventory.
Reliance Industries Limited
TVS Motors
We maintained our equipment well but still faced production losses and high downtime. Thank you Infinite Uptime for the real-time Vibration monitoring and Diagnostic services provided to monitor our gearboxes, motors, bearings and pumps. Our Maintenance Team is empowered and can now submit the history of equipment to auditors.
TVS Motors
Integrated Electrical – Tata Steel, Tarapur
As promised by Infinite Uptime, the diagnostic services offered provided valuable data to find the root cause of abnormal behaviour of the helical gearbox. With the insights into the operating equipment, maintenance to prevent the breakdown turned the vibration levels to normal.
Integrated Electrical - Tata Steel, Tarapur
Hidayath Group of Industries, UAE
We are monitoring our state-of-art machines using Infinite Uptime’s Diagnostic Services. The insights into critical equipment provided in real-time facilitate our maintenance to predictive. The plug and play Vibration monitoring System helps to avoid unexpected downtime and saves cost. The triggering of alarms with notifications on our mobiles has added an instantaneous rectification process increasing machine availability
