{"title":"基于FAHP-FDEMATEL的施工人员生产率模型因果关系分析","authors":"N. Kedir, A. Fayek","doi":"10.1139/cjce-2022-0425","DOIUrl":null,"url":null,"abstract":"Construction crew productivity is affected by the motivation of the crew performing given activities and by situational/contextual factors forming the dynamic construction environment. The literature lacks a comprehensive analysis of causal relationships between crew motivation and situational/contextual factors for dynamic modelling of crew productivity. The contributions of this paper are 1) identifying a set of criteria for performing expert weight assignment for heterogenous group experts in productivity research, 2) proposing an integrated fuzzy analytic hierarchy process–fuzzy decision-making trial and evaluation laboratory (FAHP-FDEMATEL) approach that provides a systematic, structured method for determining causal relationship mapping between factors affecting crew productivity, and 3) proposing an approach for identifying cause-and-effect groups amongst the situational/contextual factors and crew motivation, which can further be used to formulate strategic productivity improvement solutions. The proposed methodology is demonstrated using a case study on an actual industrial construction project in Alberta, Canada.","PeriodicalId":9414,"journal":{"name":"Canadian Journal of Civil Engineering","volume":"33 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated FAHP-FDEMATEL for Determining Causal Relationships in Construction Crew Productivity Modeling\",\"authors\":\"N. Kedir, A. Fayek\",\"doi\":\"10.1139/cjce-2022-0425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Construction crew productivity is affected by the motivation of the crew performing given activities and by situational/contextual factors forming the dynamic construction environment. The literature lacks a comprehensive analysis of causal relationships between crew motivation and situational/contextual factors for dynamic modelling of crew productivity. The contributions of this paper are 1) identifying a set of criteria for performing expert weight assignment for heterogenous group experts in productivity research, 2) proposing an integrated fuzzy analytic hierarchy process–fuzzy decision-making trial and evaluation laboratory (FAHP-FDEMATEL) approach that provides a systematic, structured method for determining causal relationship mapping between factors affecting crew productivity, and 3) proposing an approach for identifying cause-and-effect groups amongst the situational/contextual factors and crew motivation, which can further be used to formulate strategic productivity improvement solutions. The proposed methodology is demonstrated using a case study on an actual industrial construction project in Alberta, Canada.\",\"PeriodicalId\":9414,\"journal\":{\"name\":\"Canadian Journal of Civil Engineering\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Civil Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1139/cjce-2022-0425\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1139/cjce-2022-0425","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Integrated FAHP-FDEMATEL for Determining Causal Relationships in Construction Crew Productivity Modeling
Construction crew productivity is affected by the motivation of the crew performing given activities and by situational/contextual factors forming the dynamic construction environment. The literature lacks a comprehensive analysis of causal relationships between crew motivation and situational/contextual factors for dynamic modelling of crew productivity. The contributions of this paper are 1) identifying a set of criteria for performing expert weight assignment for heterogenous group experts in productivity research, 2) proposing an integrated fuzzy analytic hierarchy process–fuzzy decision-making trial and evaluation laboratory (FAHP-FDEMATEL) approach that provides a systematic, structured method for determining causal relationship mapping between factors affecting crew productivity, and 3) proposing an approach for identifying cause-and-effect groups amongst the situational/contextual factors and crew motivation, which can further be used to formulate strategic productivity improvement solutions. The proposed methodology is demonstrated using a case study on an actual industrial construction project in Alberta, Canada.
期刊介绍:
The Canadian Journal of Civil Engineering is the official journal of the Canadian Society for Civil Engineering. It contains articles on environmental engineering, hydrotechnical engineering, structural engineering, construction engineering, engineering mechanics, engineering materials, and history of civil engineering. Contributors include recognized researchers and practitioners in industry, government, and academia. New developments in engineering design and construction are also featured.