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Management of critical knowledge to support maintenance decision making MANTIS Photo Credit: Official.

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1 Management of critical knowledge to support maintenance decision making
MANTIS Photo Credit: <a U.S. Navy Imagery</a> via <a href="http://compfight.com">Compfight</a> <a href="http://creativecommons.org/licenses/by/2.0/">cc</a>

2 [MANTIS] Management of critical knowledge to support maintenance decision making Roberto Uribeetxeberria

3 “Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process”. “New business models with a stronger service orientation are seen as an instrument to react to the upcoming competition and future challenges”.

4 “How can I optimize my maintenance plan?”
“How can I detect warranty issues sooner?” “How can I perform in depth root cause failure analysis on my process and equipment?” “How can I predict an impending equipment failure and the cause?” “What is the life expectancy of an asset’s component or part?” “How can I reduce unscheduled maintenance and its high costs?” “How do I achieve optimal equipment efficiency and availability?”

5 We will need New sensing CPS Virtual Plug & Play
Secure wireless solutions Remote access Distributed (local) decision making Connection to the Cloud Distributed Big Data Advanced analysis Note: Interoperability in Arrowhead refers to information exchange (services)

6 Sustainable Production
Computing Sustainable Production Efficient and safe mobility Smart communities Well being & health D- Computing Architectures and Energy Management Autonomous Control C- Autonomous Adaptive and predictive control and operation of CPS ARTEMIS research directions and roadmap System Design B- System Design, Modeling and Virtual Engineering for CPS Architecture A- Architectures Principles and Models for Safe and Secure CPS

7 Maintenance costs down
Unexpected failures down Reduction of unscheduled maintenance and its high costs Repair and overhaul time down Spare part inventory down Work orders down Optimized maintenance windows to reduce operating expense Improved reliability and uptime of assets Higher availability Improved competitiveness Avoid unnecessary investments in redundancy Efficient assignment of labor resources Minimize parts inventory Lower energy and raw materials need Lower CO2 footprint More friendly and attractive working environments Employment sustainability and new job creation based on new business models and opportunities Aging factories Internationalization opportunities

8 PULTRUSION PROCESS DIE CASTING PROCESS MINING MACHINES MARITIME MAINTEINANCE

9 Roberto Uribeetxeberria
Spain (L) Mondragon Corp. Acciona Ikerlan Tekniker Loramendi Ederlan Mondragon Univ. Austria AVL “Consortium is not closed yet.” Finland VTT Metso Wapice Sweden LTU Volvo CE SKF Atlas Copco Roberto Uribeetxeberria


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