Thilini Ranasinghe, M.Phil.

Externe Doktorandin

Juniorprofessur für BWL, insb. Digitale Transformation im Operations Management
Fakultät HW, Bereich Wirtschaftswissenschaft
Universität des Saarlandes
Gebäude A5 4, Raum 2.19
Campus
66123 Saarbrücken

Tel:  0681 / 302 4831

Email: thilini.ranasinghe(at)uni-saarland.de

Sprechstunde: Nach Vereinbarung

 
Forschungsgebiete

  • Human Factors and Ergonomics

  • Behavioral Operations Management

  • Digital Transformation in Operation Management

  • Manufacturing Systems Modelling and Evaluation

Werdegang

Since 06/2022

PhD Student at the Chair of Digital Transformation im Operations Management at Saarland University

07/2019 to 06/2022

Lecturer, Department of Manufacturing and Industrial Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka

01/2022

Awarded Master of Philosophy by University of Peradeniya, Sri Lanka. Thesis Title “Analysis and Modelling of Learning Curve and its effects on Manufacturing System Performance”

04/2018 to 10/2018

Academic Instructor at Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Ruhuna, Sri Lanka

02/2015 to 04/2018Research Assistant at Department of Manufacturing and Industrial Engineering, (Former Department of Production Engineering), Faculty of Engineering, University of Peradeniya, Sri Lanka
08/2013 to 02/2015Project team lead, MAS Autonomation group, MAS holdings (Pvt) Ltd, Colombo, Sri Lanka
07/2009 to 07/2013Bachelor of the Science in Engineering (Honors), Faculty of Engineering, University of Peradeniya, Sri Lanka. Specialized in Production Engineering
Publikationen
  • Ranasinghe, T., Loske, D., Grosse, E.H., 2024. Cold Storage Order Picking Performance: Effects of Load Unit Utilization and Product Volume. 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria.
  • Ranasinghe, T., Grosse, E.H., Lerher, T., 2024. Aging in Industry 5.0: Enhancing Human–Robot Synergy in Manufacturing and Logistics.18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria.
  • Ranasinghe, T., Grosse, E.H., Glock, C.H., Jaber, M.Y., 2024. Never too late to learn: Unlocking the potential of the aging workforce in manufacturing and service industries. International Journal of Production Economics, 109193. https://doi.org/10.1016/j.ijpe.2024.109193
  • Ranasinghe, T., Loske, D., Grosse, E.H., 2024. Cold Storage, Warm Breaks: An Empirical Study on Rest Breaks and Order Picking Performance in Deep Frozen Warehouses. Twenty-third International Working Seminar on Production Economics, 14.-18. 2024, Innsbruck, Austria.
  • Ranasinghe, T., Senanayake, C., Grosse, E.H., 2024. Effects of stochastic and heterogeneous worker learning on the performance of a two-workstation production system. International Journal of Production Economics, 267, 109076. https://doi.org/10.1016/j.ijpe.2023.109076.
  • Ranasinghe, T., Grosse, E.H., Glock, C.H., and Jaber, M.Y. (2023). Aging workforce and learning: State-of-the-art. Proceedings of 22nd IFAC World Congress, Yokohama, Japan.
  • Ranasinghe, T., Grosse, E.H., Glock, C.H., and Jaber, M.Y. (2023). You never stop learning: On the effects of workforce ageing on learning. Proceedings of the 30th EurOMA Conference, Leuven, Belgium.  
  • Ranasinghe, T., Jayathilaka, G., Jayaweera, T., Kulatunga, A., and Walgampaya, C. (2023). Worker Training Optimization in an IoT-Enabled Environment. Proceedings of the 13th Conference on Learning Factories (CLF 2023), Reutlingen, Germany. http://dx.doi.org/10.2139/ssrn.4457097
  • Ranasinghe, T., Senanayake, C. and Perera, K. (2018). Effects of Non-homogeneous learning on the performance of serial production systems - A Simulation Study.  Proceedings of the 2018 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka. https://ieeexplore.ieee.org/document/8421995 (Won the Best paper award in "Engineering Mathematics" track of the conference)
  • Dissanayaka D., Ranasinghe T. and Senanayake C. (2016). Analysis of efficiency ladders used in apparel manufacturing line performance forecasting. Proceedings of the Manufacturing & Industrial Engineering Symposium (MIES), Colombo, Sri Lanka. http://ieeexplore.ieee.org/document/7780268/
  • Ranasinghe T., Senanayake C. and Perera K. (2016). Empirical Analysis and Modeling of Learning Curve in the Apparel Manufacturing Industry. Proceedings of International Conference on Industrial Engineering and Operations Management (IEOM), Kuala Lampur, Malaysia. http://ieomsociety.org/ieom_2016/pdfs/189.pdf
  • Ranasinghe T., Senanayake C., Perera K. and Gamage P. (2016). Forecasting Accuracy of Learning Curves in Apparel Industry. Proceedings of the 110th Annual Sessions of Institute of Engineers Sri Lanka (IESL), Colombo, Sri Lanka. pp.275 -279.
Würdigungen und Auszeichnungen

2022 to 2025

GraduSAAR Scholarship for Doctoral Students, Saarland University

2013

Colombo Dockyard Prize for Best Performance in Production Engineering, University of Peradeniya

2013

MAS award for the Best Overall Student 2012/2013 of Department of Production Engineering, Faculty of Engineering, University of Peradeniya. Presented by MAS Holdings (Pvt) Ltd, Colombo, Sri Lanka