Unexpected production downtime can have major cost implications in pharmaceutical manufacturing and can impact an organization’s ability to meet production targets. To avert downtime, manufacturers need to identify defects in their equipment before costly failure happens.
Utilizing your aggregated production data, Adastra will give you a real-time view of your equipment health throughout your supply chain, flagging when and where maintenance is needed; ensuring your equipment is always operating at optimal performance and costly mistakes are avoided.
Increased Equipment Up-time
Perform preventative maintenance during scheduled downtime to maximize performance and up-time.
Reduced Maintenance Costs
Minimize your checkups and maintenance fees with issue-based servicing.
Extended Equipment Lifecycle
Replacing parts and avoiding spread-out malfunctions will keep equipment in top health, extending the equipment life cycle in the long run.
Leveraging deep learning models, our experts will execute predictive analytics that will identify machine faults while monitoring the degrading health. With Adastra’s expansive knowledge in the pharmaceutical industry and history of robust model development we will help your organization maximize your profit and operational efficiency.
Talk to our experts to learn how your organization can digitize your factory.
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