Alexandros Bousdekis successfully defended his PhD thesis entitled: Proactive Computing in Industrial Maintenance Decision Making at the multimedia amphitheater of the Central Library of NTUA on Wednesday 4th July 2018.
Abstract of the thesis
The thesis combines and brings together the research fields of Industry 4.0, Maintenance Management and Proactive Computing in order to frame maintenance management and information systems in the context of Industry 4.0. Therefore, it paves the way for the next generation of maintenance management in the frame of Industry 4.0, i.e. Proactive Maintenance. The focus of the thesis is on proactive decision making. Consequently, it proposes proactive decision methods, capable of handling uncertainty, applicable to maintenance management and its interrelationships with other manufacturing operations, algorithms for continuous improvement of proactive decision making through the proposed Sensor-Enabled Feedback (SEF) approach and algorithms for context-awareness in proactive decision making. To do this, it utilizes methods and techniques for operational research, data analytics and machine learning. The aforementioned algorithms have been embedded in a proactive information system for decision making which was integrated with other tools in order to implement all the steps of the Proactive Maintenance framework. The system has been deployed and evaluated in real industrial environment, while further evaluation was conducted with extensive simulation experiments. Finally, the lessons learned and the managerial implications of the proposed approaches are discussed.
(see also the announcement at the School's web site: https://www.ece.ntua.gr/gr/article/186)