by Metehan Dilaver | Mar 10, 2021 | Alp Akçay, Joost van Thiel, Ruud van Dongen
Data-Driven Condition Monitoring of Maritime Diesel Engines Conducting maintenance is an absolute necessity for the Royal Netherlands Navy (RNLN) to keep on safeguarding national and international waters. The availability of logged data on many of the modules aboard...
by Metehan Dilaver | Mar 7, 2021 | Feng Fang, Laurens Lamper, Roland van de Kerkhof
The Development of Dynamic Business Models for Smart Services The present digitization of industry provides unique opportunities for our society to make our equipment more reliable, better-performing, sustainable and environmental-friendly. Given the way in which our...
by Metehan Dilaver | Mar 6, 2021 | Dominik Mahr, Kars Mennens, Paul van Fenema, Tom Schiefer
From Intention to Commitment: Formalizing Network Collaboration on Data Science with a Strategic Agreement DMI (RNLNavy), Damen and RH Marine have been exploring a collaboration around data science, with the shared goal of developing innovations to optimize the...
by Metehan Dilaver | Mar 6, 2021 | Alp Akçay, Symen Tran
Prediction Modelling for Cutter Suction Dredger Components Due to constantly changing operational conditions, it is hard to predict when certain components need maintenance or should be replaced. Boskalis still gets surprised by sudden downtime due to this. To improve...
by Metehan Dilaver | Mar 6, 2021 | J.A.J. (Joep) Hoedemakers
Creating a Preventive Maintenance Concept for New Systems Using Multi-Objective Optimization The development of a preventive maintenance concept for new systems is challenging, since there usually is a large amount of uncertainty in the expected failure behavior of...
by Metehan Dilaver | Mar 5, 2021 | Nikki Leijnse
Order Fulfillment of Spare Parts During the End-of-Life Phase In the past decades, the rate of technological innovation has increased significantly. Additionally, customer preferences are continuously changing nowadays. As a consequence, product life cycles are...
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