Thesis supervisor: István Németh
Location of studies (in Hungarian): Manufacturing Science and Engineering Abbreviation of location of studies: GTT
Description of the research topic:
a.) Antecedents:
At the Department of Manufacturing Science and Engineering the topic of maintenance planning of manufacturing systems has been addressed in the framework of earlier international research projects. A currently running international research project aims to develop a decision support system to determine the optimal maintenance strategies, policies and schedules.
b.) Aim of research:
Development of new methods and algorithms for the maintenance planning of manufacturing equipment (machine tools, robots, material handling equipment) and manufacturing systems.
c.) Tasks, main items, necessary time:
• Literature study on statistical methods, data gathering and mining methods, maintenance strategies, reliability and maintainability modelling methods, analytical and simulation-based maintenance planning methods, life cycle cost models, degradation models with special focus on modelling the load levels, machine learning based degradation prediction methods. (0.5 year)
• Definition of key performance indicators relating the degradation process, historical load levels, reliability and maintainability parameters. (0.5 year)
• Development of new methods to predict the future characteristic values of the key performance indicators. (1 year)
• Coding the methods into computer programs. (1 year)
• Comparison of the news methods with the surveyed old methods. (1 year)
• Composing publications as well as the dissertation. (0.5 year)
d.) Required equipment:
All the necessary software tools and information technology equipment are available at the Department of Manufacturing Science and Engineering.
e.) Expected scientific results:
New methods and algorithms for the maintenance planning of manufacturing systems.
f.) References:
1. István Németh, János Püspöki, Andor Bálint Viharos, Levente Zsóka and Benjámin Pirka: Layout configuration, maintenance planning and simulation of AGV based robotic assembly systems, Paper accepted for presentation and publication at the 9th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2019), 27-30. Aug. 2019, Berlin Germany, p. 6.
2. Andor Bálint Viharos and István Németh: Simulation and scheduling of AGV based robotic assembly systems, IFAC PAPERSONLINE 51:(11) (2018) pp. 1415-1420. 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018), Bergamo, Italy. June 11-13, 2018
3. Alice Reina, Ádám Kocsis, Angelo Merlo, István Németh, and Francesco Aggogeri: Maintenance decision support for manufacturing systems based on the minimization of the life cycle cost, Procedia CIRP, Volume 57, 2016, pp. 674-679.
4. PROGRAMS: Prognostics based Reliability Analysis for Maintenance Scheduling, EU research project, EU H2020-FOF, Contract number: 767287, Duration: 01. 10. 2017 – 30. 09. 2020.
5. EASE-R3: Integrated framework for a cost-effective and ease of Repair, Renovation and Re-use of machine tools within modern factory. EU research project, EU FP7 NMP, NMP2-LA-2013-608771, Duration: 01. 07. 2013 – 30. 06. 2016.
6. Birolini, A.: Reliability Engineering: Theory and Practice (Fifth edition), Springer, 2007.
7. H. Pham, H. Wang: Imperfect Maintenance and Dependence, in Reliability and Optimal Maintenance, Springer London, pp. 13-30, 2006.
Required language skills: english Number of students who can be accepted: 1
Deadline for application: 2019-10-12
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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