文章基本信息

标题：Integrated maintenance platform for critical cranes under operation: Database for maintenance purposes
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作者：Janusz Szpytko ; Yorlandys Salgado Duarte
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：3
页码：167-172
DOI：10.1016/j.ifacol.2020.11.027
语种：English
出版社：Elsevier
摘要：AbstractThe subject of the paper is the mathematical model to manage the logistics-maintenance process of overhead type cranes operated in critical systems. The study case of the paper is a hot rolling mills system of a steel plant with critical overhead cranes operating with hazard conditions and continuous operation. The model output is an optimal overhead cranes maintenance-task distribution minimizing the production line risk stopped and the model input is a digital database with historical worker-orders related with the operation, maintenance-logistics and management process of the hot rolling mills plant. The mathematical model behind the maintenance task making-decision process is a stochastic no-linear optimization model with bounded constraint that evaluates a risk global-system behaviour indicator based on Monte Carlo simulations. The definition and description volume of work in this investigation is extensive, reason why the current paper focusses the attention on model definition and dataflow concepts, specifically data collection, filtering, analysis, and storage from different sources, leaving open the application and numerical results for future works.
关键词：KeywordsMaintenancedigital twinsrisk analysisstochastic optimization