{"title":"基于风险管理的起重机开发效率系统","authors":"J. Szpytko, Yorlandys Salgado Duarte","doi":"10.5220/0010123200240031","DOIUrl":null,"url":null,"abstract":"The subject of the paper is the exploitation efficiency system of overhead type cranes operating in critical systems, results implementation the control risk management and maintenance scheduling processes. 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 scheduling distribution minimizing the production line risk stopped and the model input is a digital database structure with historical information related with the operation, maintenance, logistics and management process of the overhead cranes in the hot rolling mills plant. The transfer function is a stochastic non-linear optimization model with bounded constraint that assess a risk global-system indicator based on Monte Carlo simulations.","PeriodicalId":380008,"journal":{"name":"International Conference on Innovative Intelligent Industrial Production and Logistics","volume":"30 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Exploitation Efficiency System of Crane based on Risk Management\",\"authors\":\"J. Szpytko, Yorlandys Salgado Duarte\",\"doi\":\"10.5220/0010123200240031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The subject of the paper is the exploitation efficiency system of overhead type cranes operating in critical systems, results implementation the control risk management and maintenance scheduling processes. 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 scheduling distribution minimizing the production line risk stopped and the model input is a digital database structure with historical information related with the operation, maintenance, logistics and management process of the overhead cranes in the hot rolling mills plant. The transfer function is a stochastic non-linear optimization model with bounded constraint that assess a risk global-system indicator based on Monte Carlo simulations.\",\"PeriodicalId\":380008,\"journal\":{\"name\":\"International Conference on Innovative Intelligent Industrial Production and Logistics\",\"volume\":\"30 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Innovative Intelligent Industrial Production and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0010123200240031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Innovative Intelligent Industrial Production and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0010123200240031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploitation Efficiency System of Crane based on Risk Management
The subject of the paper is the exploitation efficiency system of overhead type cranes operating in critical systems, results implementation the control risk management and maintenance scheduling processes. 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 scheduling distribution minimizing the production line risk stopped and the model input is a digital database structure with historical information related with the operation, maintenance, logistics and management process of the overhead cranes in the hot rolling mills plant. The transfer function is a stochastic non-linear optimization model with bounded constraint that assess a risk global-system indicator based on Monte Carlo simulations.