OPEN INNOVATIE IN FIELDLABS:
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1 OPEN INNOVATIE IN FIELDLABS: IN KONVOOI VEILIG DOOR DE VALLEI DES DOODS Henk Akkermans World Class Maintenance & Tilburg University 24 september 2015
2 Niet de oplossing, wel de kans: acceptatie nieuwe technologiëen 5 years later, data:voice 10:1 In 2009 data:voice = 1:1 *Bron: August 2014
3 The challenge for NL: Aging assets FTE Maintenance need INNOVATION GAP Maintenance capacity Time
4 The 4th industrial revolution is happening because multiple new technologies converge 1. Briljant factories 2. Extreme Machines 3. Energy Everywhere 4. Mapped minds 5. Super materials 6. Industrial internet 1 Internet of things A living network of machines, data, and people Increasing system intelligence through embedded software Forces shaping the Industrial Internet Intelligent 2 machines 3 Big Data Transforming massive volumes of information into intelligence 3 #IndustrialInternet 4 Analytics Generating data-driven insights and enhancing asset performance HBR November 2014
5 The rise of Open innovation 1980s: Innovation within a part of a company 1990s: Innovation with the whole company 2000s: Innovation with the supply chain 2010s: Innovation with industry partners
6 Fieldlabs: Moving from the lab to the field in industry-academia collaboration Technology Readiness Levels or TRLs (wikipedia, NASA) The valley of death Start-ups, ongoing business Field labs CAMPIONE, LERENDE STEEN, PROSELO NEXT, CAMINO, SMART MARITIME MAINTENANCE, PHAEDRUS R&D projecten CAMPI, MASELMA, PROSELO, PURGATIO, TAPAS
7 10 fieldlabs in Smartindustry.nl, including CAMPIONE (Condition-bAsed Maintenance in the Process Industry in an Open Network Enviroment)
8 From corrective and scheduled to Condition- Based maintenance Condition-Based Maintenance (CBM) is paradigm shift for the process industry where mainenance is mostly planned or corrective: een heuse paradigm shift. CBM has so far not taken off in the process industry mostly because of non-technical reasons (safety risks, conservatism, organisational impediments, financing, divergent incentives Less than 5% of data is being tagged and only a fraction of that is being used for CBM
9 The data-enrichment cycle in Condition-Based Maintenance Smart data analysis for correlations Structuring of data from multiple sources Assessment of current status asset Mode-lbased analysis of data and root causes Prediction of future development Combining with financial / business criteria Recommendations for action Planning of actions in time Real-time tagging of data Standardized training of staff Measurement of current peformance (sensors or human) Evaluation of effectiveness actions Logging of maintenance / operations actions Actions in workflow management Execution of system maintenance / operations actions Henk Akkermans, WCM/TiU 2015
10 Nobelprijzen per hoofd van bevolking Statistical analyses are nice, but not without field knowledge Chocolade consumptie per hoofd van bevolking
11 Ambition The CAMPIONE Zero Surprises Fieldlab has as its radical goal to make chemical production processes 100% predictable Leading to higher productivity, availability and safety of assets against lower costs Higher output, hence lower costs per prodcut Moving from a practice of scheduled and corrective maintenance to condition-based and predictive maintenance Developing remote condition-based maintenance of production facilities into an export product
12 Fieldlab design Cenral physical and en virtual experimen-tation and demo-site Remote monitoring, data analyse en maintenance management services from control tower, connected to met centrale test facilities and decentral assets of participants Living labs: decentral pilots and developments
13 Our ambition: bridging the gap together with you
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