Centre of Applied Research Technology
M.M.J.M. Pelt (Maurice) MSc
Lecturer and researcherMaurice Pelt is lecturer-researcher and research data steward at the Amsterdam University of Applied Sciences.
His research and educational activities at the Faculty of Technology include data-driven smart maintenance, supply chain management and research data management. Recent research projects are:
- AI for aircraft maintenance
- ultrasonic verification of composite materials
- predictive maintenance for large waste processing systems
- business case development for a residual wood furniture factory using Industry 4.0 technologies
As a data steward for the Faculty of Technology and Faculty of Education, Maurice supervises and assesses research projects regarding the responsible use of data. This includes privacy, intellectual property, research IT systems and Open Science.
Maurice is a member of the Engineering examination committee.
Maurice graduated as a mechanical engineer (MSc) from Delft University of Technology and worked as supply chain consultant for Deloitte Consulting and Hoogovens (Tata Steel).
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Aviation Data Analytics in MRO Operations: Prospects and Pitfalls
Apostolidis, A., Pelt, M., & Stamoulis, K. P. (2020). Aviation Data Analytics in MRO Operations: Prospects and Pitfalls. In T. Myklebust, T. Stålhane, G. D. Jenssen, & I. Wærø (Eds.), Annual Symposium on Reliability and Maintainability (RAMS) Article 9153694 (Proceedings - Annual Reliability and Maintainability Symposium; Vol. 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAMS48030.2020.9153694
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How To Work With Data
Vogel, I., Pelt, M., Koning, A., & Piersma, N. (2019). How To Work With Data. Datastudio, faculteit Techniek, Hogeschool van Amsterdam. https://www.datastudio.amsterdam/downloads/
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Data mining in MRO
Pelt, M., Apostolidis, A., de Boer, R. J., Borst, M., Broodbakker, J., Jansen, R., Helwani, L., Patron, R. F., & Stamoulis, K. (2019). Data mining in MRO. Hogeschool van Amsterdam, Faculteit Techniek. https://www.amsterdamuas.com/binaries/content/assets/subsites/aviation/data-mining-in-mro/data-mining-in-mro---publication-auas-2019.pdf?1559025759404
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Data analytics case studies in the maintenance, repair and overhaul (MRO) industry
Pelt, M., Stamoulis, K., & Apostolidis, A. (2019). Data analytics case studies in the maintenance, repair and overhaul (MRO) industry. In S. Pantelakis , & C. Charitidis (Eds.), MATEC Web of Conferences (Vol. 304). Article 04005 https://doi.org/10.1051/matecconf/201930404005
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Data mining for aircraft maintenance repair and overhaul (MRO) process optimization
Pelt, M., & Stamoulis, K. (2018). Data mining for aircraft maintenance repair and overhaul (MRO) process optimization. In International Symposium on Aircraft Technology (ISATECH-2018) Proceedings Book
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Predicting aircraft maintenance durations using automatic selection of statistical distributions and time series forecasting models
Graas, R., Knuyt, J., Zantman, M., Felix Patron, R. S., Pelt, M. M. J. M., & de Boer, R. J. (2018). Predicting aircraft maintenance durations using automatic selection of statistical distributions and time series forecasting models. In AEGATS2018
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RAAK MKB Data Mining in MRO - Interim Report of Work packages 1 & 2
Borst, M. S., de Boer, R. J., Broodbakker, J., & Pelt, M. M. J. M. (2017). RAAK MKB Data Mining in MRO - Interim Report of Work packages 1 & 2: understanding the factors influencing MRO cost and uptime & Understanding the maintenance data. Aviation Academy, Amsterdam University of Applied Sciences.
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Accelerating MRO procedures for composite materials using innovative detection techniques.
de Boer, R. J., Pelt, M. M. J. M., Schoenmaker, C., Borst, M. S., & Groves, R. M. (2015). Accelerating MRO procedures for composite materials using innovative detection techniques. In CEAS 2015: 5th CEAS Air and Space Conference" Challenges in European Aerospace"
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Ultrasonic verification of composite structures
Pelt, M., de Boer, R. J., Schoemaker, C., & Sprik, R. (2014). Ultrasonic verification of composite structures. In 7th European Workshop on Structural Health Monitoring (pp. 2060-2067). Centre pour la Communication Scientifique Directe.