Forthcoming and Online First Articles

International Journal of Simulation and Process Modelling

International Journal of Simulation and Process Modelling (IJSPM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Simulation and Process Modelling (1 paper in press)

Regular Issues

  • Estimation of the service level in a materials analysis laboratory   Order a copy of this article
    by Josue Rojas Rodríguez, Gaston Vertiz Camaron, Jenaro Nosedal-Sanchez, José Concepción López Rivera 
    Abstract: This work introduces a materials laboratory for civil engineering where the time required to perform each test is not deterministic, likewise the overall performance of this laboratory varies over the time. The process begins by filling out an application and ends with the results report delivery. This article aims the evaluation, analysis and improvement proposes of the service level of the laboratory. First performance indicators were defined and then the simulation model was generated and implemented to estimate the resulting values of the process; next, the system’s operations were simulated, different scenarios were assessed, and the service level achieved was calculated. Considering outcomes from simulation process, the system was evaluated and analysed against the overall equipment effectiveness, thus the model provides a decision support tool to identify different configurations to achieve service level expected. Based on the obtained data, service level and key performance indicators were calculated for future scenarios.
    Keywords: key performance indicators; KPIs; simulation; work orders; materials laboratory; performance.
    DOI: 10.1504/IJSPM.2024.10064887
     

 

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