Port Infrastructure and Maritime Showcase: Meet the Buyer (Enterprise Ireland)
Thursday 20 September 2018
Enterprise Ireland HQ, Eastpoint Business Park, Dublin 3
Pierre Baviera and Rob McCullagh will be attending this Enterprise Ireland showcase.
This event is designed to bring together global companies working in the seaport and maritime industry to network, share knowledge and meet potential customers and partners for your business.
About Our Solutions
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 organisation can avoid costly downtime, reduce maintenance costs and improve operational efficiency.
About Presidion Attendees
Pierre Baviera, CEO
With a background in Engineering and Management, and having held leadership positions within multiple companies, Pierre has extensive experience helping organizations across the globe transform their business, with a special focus on technology and innovation. Presidion a specialised advanced analytics solutions company – helping their customers to leverage their data to deliver tangible performance improvement across a variety of topics including Sales/Marketing Effectiveness, Manufacturing Process Optimisation, Asset Reliability, Stock Optimisation etc.
Pierre recently presented at the Manufacturing & Supply Chain Conference and Exhibition (UK). If you are interested in the presentation let us know.
Do you want to reduce your Maintenance Operating Costs by 25%? – think Predictive Maintenance
Unlike the consumer sector, manufacturers have been using IoT for years. Properly focused IoT capabilities have driven huge change and ROI in manufacturing across a range of operational applications. However, in many instances, it has become a self-perpetuating data gathering exercise with no real focus. IoT is not an end in itself and needs to have clear business goals and ROI. Linking your IoT to a practical application like Predictive Maintenance can 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%).
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 insights.
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%).