@misc{10481/97074,
year = {2024},
month = {10},
url = {https://hdl.handle.net/10481/97074},
abstract = {This study presents a computational framework for maintenance modelling aimed at addressing the complexities
of the test cell (TC) within the IFMIF DONES, a complex industrial facility in the realm of fusion materials
irradiation and testing. The proposed framework, which provides an insight into the maintenance process,
is based on high-level Petri nets and captures maintenance tasks, duration, delays, and interactions among
components. The proposed method employs global sensitivity analysis (GSA) to gain a better understanding
of the influence of the numerous parameters on the system’s performance. Three maintenance scenarios are
explored, taking into account factors such as workforce assumptions, shift expenses, delays, and task completion
timings. Monte Carlo simulations evaluate the probabilistic behaviour of the considered maintenance scenarios
to allow for a thorough examination of the impact of uncertainties on maintenance operations. Examination
of shift data yields insights into optimizing maintenance strategies minimizing downtime, and enhancing
cost effectiveness. The results underscore the significance of implementing a night shift to improve facility
availability. Furthermore, the proposed maintenance model is compared against a regression metamodel, which
is validated by comparing Sobol indices derived from the Petri net. The novelty of this research is shown
through combining shift data analysis, global sensitivity analysis, and innovative hybrid modelling aimed at
enhancing maintenance planning within an irradiation facility.},
organization = {EU-ROfusion Consortium, funded by the European Union via the EuratomResearch and Training Programme (Grant Agreement No 101052200— EUROfusion)},
publisher = {Elsevier},
keywords = {Petri nets},
keywords = {Predetermined maintenance},
keywords = {Global sensitivity analysis},
title = {A computer-based simulation methodology of the predetermined maintenance scheme of an irradiation facility},
doi = {10.1016/j.cie.2024.110671},
author = {Hisham Ismail, Mohammad and Chiachío Ruano, Manuel and Chiachío Ruano, Juan and Arranz, Fernando and Saleh, Ali},
}