MRO Talk – Excellence in Maintenance, Reliability & Operations
Presidion will be speaking and exhibiting at the “MRO Talk – Excellence in Maintenance, Reliability & Operations” on the 11th and 12th of September in Berlin
About Presidion and our solutions
Presidion is a specialised Advanced Analytics Solutions Company that help its customers deliver tangible RoI through actionable data insights.
At this event, we will be presenting two of our solutions for Maintenance and Operations.
Inventory Insights (SIM)
This solution is an Analytics based Inventory Management capability that enables you to reduce your inventory levels by up to 50% by removing obsolete stock and optimising stock levels and reorder points.
This solution access multiple data sources in real time to predict asset failure so that your organization can avoid costly downtime, reduce maintenance costs and improve operational efficiency.
About the Speaker & Presentation
Rob McCullagh, Strategic Account Director
For the past 17 years Rob has been helping organisations use their data to answer the business questions that are keeping them awake at night.
In business, his goal is to help provide timely, meaningful and actionable information based on a myriad of data that delivers actionable insight.
Through the use of Advanced Analytics, he helps deliver answers that get executives excited about what they can now achieve. Data mining is a collaborative process and he typically hears the expression” Now, that’s really interesting” as they uncover new insights about a specific business challenge.
Predictive Asset Management and MRO Inventory Optimisation
Think Big, Start Small – How to build a practical Roadmap
“Reduce inventory levels by up to 50%”, “Reduce your Maintenance Operating Costs by 25%?”
Headlines are intriguing but how do we get there?
This talk will give a practical path on how manufacturers can plan and implement an analytics strategy that will build into an End to End Predictive maintenance and optimisied MRO Inventory management system.
Balancing inventory holding levels while maintaining your service levels is never an easy task. Few organisations have the skills, tools or bandwidth to achieve a bird’s eye view of which stock items are fast or slow moving and to continually readjust reorder points based on lead times and distribution frequencies, or criticality. Advanced Analytics delivers visual insights to identify obsolete stock and highlight the optimal reorder points for frequently issued stock items to minimise risk of stock outs or overspend. This exercise can be relatively quickly completed and will also deliver the data quality improvements required to implement the initial Predictive maintenance capability.
This exercise can also help a clearly focused IoT strategy to gather specific missing data to enable your initial Predictive maintenance projects. Linking your IoT to a practical application like Predictive Maintenance will drive significant ROI and put a clear structure on your IoT roadmap and measurement of success. Predictive Maintenance (PdM): the use of Advanced Predictive Analytics and multiple historic data sources, aims to predict when and where an asset will fail (and why). This capability offers manufacturers the opportunity to reduce operating costs (10-25%) and product development costs (25%).