<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/97074">
      <dc:title>A computer-based simulation methodology of the predetermined maintenance scheme of an irradiation facility</dc:title>
      <dc:creator>Hisham Ismail, Mohammad</dc:creator>
      <dc:creator>Chiachío Ruano, Manuel</dc:creator>
      <dc:creator>Chiachío Ruano, Juan</dc:creator>
      <dc:creator>Arranz, Fernando</dc:creator>
      <dc:creator>Saleh, Ali</dc:creator>
      <dc:subject>Petri nets</dc:subject>
      <dc:subject>Predetermined maintenance</dc:subject>
      <dc:subject>Global sensitivity analysis</dc:subject>
      <dc:description>This study presents a computational framework for maintenance modelling aimed at addressing the complexities&#xd;
of the test cell (TC) within the IFMIF DONES, a complex industrial facility in the realm of fusion materials&#xd;
irradiation and testing. The proposed framework, which provides an insight into the maintenance process,&#xd;
is based on high-level Petri nets and captures maintenance tasks, duration, delays, and interactions among&#xd;
components. The proposed method employs global sensitivity analysis (GSA) to gain a better understanding&#xd;
of the influence of the numerous parameters on the system’s performance. Three maintenance scenarios are&#xd;
explored, taking into account factors such as workforce assumptions, shift expenses, delays, and task completion&#xd;
timings. Monte Carlo simulations evaluate the probabilistic behaviour of the considered maintenance scenarios&#xd;
to allow for a thorough examination of the impact of uncertainties on maintenance operations. Examination&#xd;
of shift data yields insights into optimizing maintenance strategies minimizing downtime, and enhancing&#xd;
cost effectiveness. The results underscore the significance of implementing a night shift to improve facility&#xd;
availability. Furthermore, the proposed maintenance model is compared against a regression metamodel, which&#xd;
is validated by comparing Sobol indices derived from the Petri net. The novelty of this research is shown&#xd;
through combining shift data analysis, global sensitivity analysis, and innovative hybrid modelling aimed at&#xd;
enhancing maintenance planning within an irradiation facility.</dc:description>
      <dc:date>2024-11-19T10:05:45Z</dc:date>
      <dc:date>2024-11-19T10:05:45Z</dc:date>
      <dc:date>2024-10-31</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Hisham Ismail, M. et. al.  Computers &amp; Industrial Engineering 198 (2024) 110671. [https://doi.org/10.1016/j.cie.2024.110671]</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/97074</dc:identifier>
      <dc:identifier>10.1016/j.cie.2024.110671</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>info:eu-repo/grantAgreement/EC/HE/101052200</dc:relation>
      <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución-NoComercial 4.0 Internacional</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
   </ow:Publication>
</rdf:RDF>