DSC/e Lecture Series: September 25 2014 - Remote monitoring and condition based maintenance for capital goods
Thursday, September 25, 2014 from 12:30 PM to 1:30 PM (CEST)
The Data Science Center Eindhoven organizes several interesting lectures about the various aspects of Data Science.
Remote monitoring and condition based maintenance for capital goods
prof.dr.ir. Geert-Jan van Houtum, School of Industrial Engineering, Eindhoven University of Technology
This presentation deals with maintenance policies for capital goods, such as lithography equipment, baggage handling systems, and medical equipment. The availability of these systems is crucial for the operational processes at their users (semiconductor factories, airports, hospitals).
Generally, downtime of these systems have a serious disturbing effect on the operational processes and longer downtime lead to a reduced output and thus to large downtime costs.
In this presentation, we look at the use of remote monitoring data for maintenance purposes. We show cases on the prediction of failures based on remotely collected data. We also present a maintenance optimization concept for multi-component systems. For individual components, one may use a failure-based, age/usage-based, inspection-based, or a condition-based maintenance policy, where the choice depends on various factors. For a system, one needs to coordinate these policies so that the number of setups for maintenance can be kept limited. We show how this may be done.
Geert-Jan van Houtum is Professor of Maintenance and Reliability at Eindhoven University of Technology. His research is focused on: (i) Spare parts management; (ii) Maintenance and availability management of capital goods; (iii) The effect of design decisions on the TCO of capital goods.
When & Where
Data Science Center Eindhoven
The Data Science Center Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data. 90% of the data in the world today has been created in the last two years alone and the world's data will grow by 50 times in the next 10 years.
Moreover, human and organizational activities are intertwined with the digital universe. Therefore, data science is growing in importance and becoming an integral part of different types of engineering and scientific research.