Unexpected disruptions can have major cost implications in the production and can impact an organization’s ability to meet targets. To avert downtime managers, 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.
Increase Equipment Uptime: Perform preventative maintenance during scheduled downtime to maximize performance and uptime
Reduce Maintenance Costs: Minimize your checkups and maintenance fees with issue-based servicing
Extend equipment life cycle: Replacing parts and avoiding spread-out malfunctions will keep equipment in top health, extending the equipment life cycle in the long run.
Worker Safety: Keep employees out of harms way by anticipating and remediating equipment failure
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 auto and manufacturing industry and history of robust model development we 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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