In manufacturing, production information from manufacturing execution system (MES) data and machine health data is often looked at separately. This approach can prevent companies from taking full advantage of the actionable intelligence that can be derived from correlating these two key sources of information to improve maintenance decision-making and production planning.

Through a funding program offered by MxD, Predictronics partnered with Lockheed Martin, Northeastern University and FORCAM to create an integrated framework that merges machine health and dynamic scheduling. This predictive scheduling dashboard helps to enhance ROI by optimizing maintenance scheduling, reducing unplanned downtime, improving equipment availability, and decreasing unnecessary waste and costs.

On May 7, 2020 at 2 p.m. EST, Predictronics CTO Dr. David Siegel will be hosting a predictive scheduling webinar, entitled Optimized Predictive Maintenance and Production Planning with Predictive Dynamic Scheduling.

Topics to be presented and discussed in the webinar are as follows:

WHAT IS PREDICTIVE SCHEDULING?

Learn what predictive scheduling is, how it differs from predictive maintenance, and how it can enable you to monitor asset health while also optimizing production planning.

PREREQUISITES FOR IMPLEMENTATION

Learn what data is required to implement predictive scheduling, as well as what type of existing software can be leveraged to provide that data.

VALUE AND BENEFIT

Understand the value proposition delivered through implementing predictive maintenance and predictive scheduling solutions, both in terms of organizational optimization, value, and return on investment.

LIVE DEMONSTRATION

A live demonstration of the unified predictive scheduling dashboard will also be presented during the webinar.

The live demonstration of the unified predictive scheduling dashboard will be given by our Solutions Engineer Varun Udupa and our webinar will conclude with a Q&A session hosted by our Senior Data Scientist Matthew Buzza.

Join us to learn how you can utilize this integrated solution to dynamically schedule preventative maintenance and optimize production.

To register for the webinar, click the link below: