Webinar:

OPTIMIZED PREDICTIVE MAINTENANCE AND PRODUCTION PLANNING WITH PREDICTIVE DYNAMIC SCHEDULING

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.

David Siegel

David Siegel, PhD

CTO

Varun Udupa

Live Demo:

Varun Udupa
Matthew Buzza

Q&A:

Matt Buzza

What you will learn:

Predictive Scheduling Icon

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 Icon

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 Icon

VALUE AND
BENEFITS

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

Live Demo

LIVE
DEMONSTRATION

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

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