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.
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.
Learn what data is required to implement predictive scheduling, as well as what type of existing software can be leveraged to provide that data.
Understand the value proposition delivered through implementing predictive maintenance and predictive scheduling solutions, in terms of organizational optimization, value, and return on investment.
A live demonstration of the unified predictive scheduling dashboard will also be presented during the webinar.