The pharmaceutical industry helps improve the health & well-being of people around the world and contribute a significant percentage to the global GDP, making it one of the most important industries in the world.
Pharmaceutical industry heavily depends on quality and accuracy of the manufacturing equipment sets to deliver high-quality products. Even slight changes in the functional parameter of pharmaceutical machines can lead to dire consequences on human lives, and also result in financial losses. Therefore, the pharmaceutical equipment manufacturers and maintenance professionals have long faced the challenge of keeping the equipment running in optimal conditions to reduce downtime and prevent bottlenecks that affect patients across the globe.
With the rising demand for efficiency and quality in production & manufacturing operations, unplanned downtime causes delays and customer-loss for the organizations, thereby hitting their bottom line. Moreover, it can lead to loss of human lives. This has forced the industry to look for technologies & solutions that can help prevent delays and maintain efficient operations. In addition, covid has forced manufacturers to look for digital tools and technologies, that help drive the digital transformation of the industry. With a view to automate the plant processes, industry professionals have steered towards predictive maintenance, for proactive asset maintenance and management.
Predictive maintenance is a data-driven approach that collects and analyses machine health and performance data, in order to predict when an asset will fail. Maintenance & reliability professionals are notified as assets start to show initial signs of failure, thereby giving enough time for engineers & technicians to schedule repairs. This prediction and notification help to identify developing issues, preventing unplanned downtime in the future. It offers organizations the potential to produce better products at a faster rate without sacrificing quality or consistency.
Automated AI-based Predictive Maintenance in Pharmaceutical industry consists of wireless Industrial IoT sensors and analytics platform that crunches complex machine data to provide meaningful and actionable insights. Improved condition monitoring of industrial assets using automated AI-based Predictive Maintenance helps to maximize the uptime of machines & equipment sets.
Predictive maintenance is a great way to keep machines and equipment sets running smoothly and efficiently. It helps pharmaceutical companies avoid costly downtime and ensure that the machinery is operating at peak performance, to maintain their competitive edge.
Nanoprecise is an automated AI-based Predictive Maintenance Solution Provider that facilitates early detection of even small changes in the equipment sets, before they impact production. Our wireless predictive maintenance solution helps pharmaceutical companies predict failures & prevent downtime, and offers increased flexibility and agility to the overall operations.
There are plenty of advantages of investing in predictive maintenance, such as reduced production costs and increased safety for workers. So why not get started today?
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