Managing maintenance operations can be complex, difficult, and expensive. Understanding which equipment assets are headed for a breakdown can help your organization avoid surprise repair costs, reduce unnecessary maintenance tasks, improve safety, and streamline parts supply. From plant equipment to fleet vehicles, a predictive algorithm that provides early warnings of equipment breakdowns can significantly improve your maintenance strategy.
A data science for predictive maintenance starter kit from Aptitive will help your organization develop a predictive algorithm using cutting-edge techniques. In just 6-8 weeks, you will be able to visually see which specific equipment or vehicles are most at risk and you will be able to act on improving your maintenance process.
The Benefits of a Data Science Starter Kit:
Ability to avoid costly breakdowns before they happen
Better operations planning and maintenance
Cost control by avoiding unforeseen equipment downtime
Improved supply chain management by reducing unneeded parts costs
Avoiding unnecessary maintenance tasks that are costly and labor intensive
Streamlined operations by automating maintenance schedules
Visibility into your equipment and fleet health
Improved plant safety and reduced accidents
What We’ll Do:
What You’ll Get:
A Tech Stack That Works for You
Our tech-agnostic approach means that we can build a data science for predictive maintenance solution with the leading cloud platforms, data management tools, and analytics technologies.
Here are some of the technologies our team will use to build the right solution for your organization.