{"title":"Schedule risk analysis in construction project using RFMEA and Bayesian networks: The Cali-Colombia case study","authors":"C. A. Mican, V. Jimenez, J. Perez, J. Borrero","doi":"10.1109/IEEM.2013.6962445","DOIUrl":null,"url":null,"abstract":"The projects in the construction sector are developed in complex and dynamic circumstances due to uncertainties and risks. The schedule risk is the probability that the project exceeds the initial programming, for which several methodologies are proposed; on the other hand very few of them have been used in countries where the economies are in development. This paper presents a case study of the construction industry in the city of Cali-Colombia, integrating the RMFEA prioritization method and the Bayesian Networks model for the schedule risk analysis in construction projects. It will be possible to identify the main own risks in this type of projects and the impact that they have in the probability of finishing the project on time.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"36 1","pages":"415-419"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2013.6962445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The projects in the construction sector are developed in complex and dynamic circumstances due to uncertainties and risks. The schedule risk is the probability that the project exceeds the initial programming, for which several methodologies are proposed; on the other hand very few of them have been used in countries where the economies are in development. This paper presents a case study of the construction industry in the city of Cali-Colombia, integrating the RMFEA prioritization method and the Bayesian Networks model for the schedule risk analysis in construction projects. It will be possible to identify the main own risks in this type of projects and the impact that they have in the probability of finishing the project on time.
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