{"title":"Fuzzy logic model to benchmark maintenance strategies for concrete structures","authors":"M. Peiris, N. D. Silva","doi":"10.31705/wcs.2019.36","DOIUrl":null,"url":null,"abstract":"Maintenance of a building, which is of utmost importance, has become a burden to organisations worldwide, due to the unplanned approach towards it. Recently, views on building maintenance had undergone fundamental changes and are currently thought of as a crucial function in any organisation. Regrettably, around one-third of the allocated maintenance costs are wasted due to the ineffectiveness of maintenance planning. As a remedy to this loss, many organisations are currently shifting towards the incorporation of maintenance strategies such as corrective maintenance, preventive maintenance, and predictive maintenance. However, the implementation of these strategies itself will not solve the problem. Significant planning should be undergone in order to obtain the maximum benefit of executing these strategies. Introducing a tool to support planning and decision-making regarding maintenance strategy implementation will hence simplify this process. Therefore, the aim of this paper is to review existing literature on maintenance strategies and develop a fuzzy logic model to find the best combination of such maintenance strategies for concrete structures. Hence this paper portrays a conceptual model that can be adopted to benchmark maintenance strategies for concrete structures, by adapting the existing models which are commonly developed for maintenance of machinery and equipment.","PeriodicalId":206220,"journal":{"name":"Proceedings of the 8th World Construction Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th World Construction Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31705/wcs.2019.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Maintenance of a building, which is of utmost importance, has become a burden to organisations worldwide, due to the unplanned approach towards it. Recently, views on building maintenance had undergone fundamental changes and are currently thought of as a crucial function in any organisation. Regrettably, around one-third of the allocated maintenance costs are wasted due to the ineffectiveness of maintenance planning. As a remedy to this loss, many organisations are currently shifting towards the incorporation of maintenance strategies such as corrective maintenance, preventive maintenance, and predictive maintenance. However, the implementation of these strategies itself will not solve the problem. Significant planning should be undergone in order to obtain the maximum benefit of executing these strategies. Introducing a tool to support planning and decision-making regarding maintenance strategy implementation will hence simplify this process. Therefore, the aim of this paper is to review existing literature on maintenance strategies and develop a fuzzy logic model to find the best combination of such maintenance strategies for concrete structures. Hence this paper portrays a conceptual model that can be adopted to benchmark maintenance strategies for concrete structures, by adapting the existing models which are commonly developed for maintenance of machinery and equipment.