Software Platform Enables Data-Driven Operation
Bosch Rexroth is releasing Improvidus, a platform for tracking, analyzing and enhancing connected productivity. The software is intended to provide the transparency needed to move effectively and profitably toward a connected operation. Improvidus connects users to resources such as big data analytics, cloud data storage, training, consulting and projects.
Improvidus offers an impressive collection of visualization tools that can be utilized according to your company’s needs. Featured online capabilities include:
- The Overall Equipment Effectiveness (OEE) Visualization Tool, which gives a detailed description of equipment availability, production output and deviation information. The OEE tool provides a simple solution for making educated decisions for connected industry investments, the company says.
- The Multi-Metric Pareto and Multi-Metric Pareto Recommendations Tools, which improve visualization, filtering and drill-down for deviation data sets, guiding users and providing recommendations by locating filtering options.
- The Event Correlation Tool, which provides insight into correlating events and time between those events, enabling users to address the root cause of an issue.
- The Word Cloud Tool, which associates word usage with impact to help pinpoint systemic issues.
In conjunction with Improvidus software, Bosch Rexroth offers lean consulting and training. Consulting services include monthly data analysis, reviews by a trained consultant and advice for next steps.
Cutting tool manufacturers have worked together to create a generic tool catalog format that helps link cutting tool information with applications supporting data-driven manufacturing.
A panel discussion at the recent Top Shops Conference focused on various points of view regarding the value of connecting machine tools to a network for monitoring performance and recording results. Because machine monitoring helps a shop make better decisions about manufacturing processes, it is a good example of data-driven manufacturing in action.
An introduction to the standards, decision-making, training, cybersecurity, sensors, machine monitoring and cloud computing that make up the IIoT.