26th of November 2020, 16:00-17:30 CET
How to Measure ROI
for PdM Applications
The ForeSee Cluster webinar #3 highlights the main aspects of ROI measurements of PdM application.
It presents also the use case applications on production systems in the aviation of UPTIME project
and in the automotive industry of PROPHESY project.
Diego Bartolomé (CRIT)
16:10 Cost Benefit & ROI Calculators for Predictive Maintenance Applications & the Service Optimisation Engine (SOE)
Giannis Kaldis, IntraSoft
16:40 Jaguar Land Rover Use Case
Oscar Alvarado, Jaguar Land Rover
17:00 FFT Production Systems Use Case
Jeroen Versteeg, FFT Produktionssysteme GmbH & Co. KG
17:30 End of webinar
Full Recorded Webinar
Full recorded webinar will be available after the webinar takes place.
The keynote speech on “Cost Benefit & ROI Calculators for Predictive Maintenance Applications & the Service Optimisation Engine (SOE)” is delivered by Giannis Kaldis, Exploitation team leader in PROPHESY.
PROPHESY has produced a portfolio of free-to-use online tools, addressed to the wider Predictive Maintenance community, and to mid-upper level managers of industrial IoT deployments in general for optimal decision making.
Foresee Cluster members, as well as wider Industry professionals may find potential added value in using these online tools, webforms and downloadable offline calculators for their applications. These include:
Benchmarking against Best-in-Class Predictive Maintenance (PdM) Deployments
Total Cost of Ownership (TCO) breakdown
Replacement Asset Value (RAV) KPIs
Before-After Cost Benefit Comparisons
Cost-Benefit draft estimates before deployment, when considering PdM solutions
Analytic ROI calculators including IRR, NPV, Payback and similar metrics
O.E.E. and Direct Cost of Downtime Calculators based on SMRP BOK formulas
The online SOE (Service Optimisation Engine) composition tool which selects appropriate chains of application service bricks to compose optimal predictive maintenance solutions based on economic, efficiency and usability optimisation criteria through graphical UX/UI.
Jaguar Land Rover Use Case