Nanoprecise MachineDoctor

Prevention of 32-hour Downtime in a leading Chemical Manufacturing Company with Machine Doctor
The chemical manufacturing industry is one of the most important industries for any country, Therefore, unplanned downtime is an expensive affair for the chemical industry as it can have dire consequences for worker safety, product quality and bottom line of the organization. Therefore, it is necessary to combat unplanned downtime by predicting the faults in advance, so as to prevent the financial loses and improve the worker safety & product quality, thus fuelling economic development.
The case study focuses on how Nanoprecise helped the maintenance & reliability managers of one of the largest chemical manufacturing companies to prevent a downtime of 32 hours, by predicting a stage 3 fault through Automated AI-based Predictive Maintenance System.
Value Creation for Chemical Sector:
Reduction or near elimination of unscheduled equipment downtime caused by equipment or system failure
Increased labour utilization, production capacity & equipment lifespan Robust ATEX / IECEX Zone 0 Hardware Solution
Reduced maintenance costs
Simple Plug, Play & Give Peace of Mind

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Current Maintenance Practice in your plant?
Reactive Route Based / Preventive Predictive Technology Based

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CMMS Platform Industrial IoT Artificial Intelligence

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In 6 months In 12 months No

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