建筑行业精益施工与BIM交互模型

IF 6.1 3区 管理学 Q1 ENGINEERING, INDUSTRIAL Production Planning & Control Pub Date : 2022-01-03 DOI:10.1080/09537287.2021.2019342
H. Bayhan, Sevilay Demirkesen, Chengyi Zhang, A. Tezel
{"title":"建筑行业精益施工与BIM交互模型","authors":"H. Bayhan, Sevilay Demirkesen, Chengyi Zhang, A. Tezel","doi":"10.1080/09537287.2021.2019342","DOIUrl":null,"url":null,"abstract":"Abstract An Analytical Network Process (ANP) was created to test the Lean and BIM concepts with data collected from U.S. companies to find the success factors of the Lean/BIM framework. After an extensive literature review, a total of 17 sub-categories for Lean/BIM are classified into three clusters, namely Communication, Production, and Visualization. An ANP network is then established to station the links between the attributes of the framework while computing their importance weights. Eight experienced civil engineers took part in the questionnaire study to assess the relations between the attributes. The main purpose of this study is to reveal the synergy between Lean and BIM with different components reflecting this synergy and present the Lean and BIM synergy on a comprehensive model. The results indicate that Production is the prominent cluster and Production Control, Standardization and Information accuracy are the most important factors in the Lean/BIM synergy. To validate the model, five construction projects were selected to test and observe the results accordingly. The study is expected to help construction industry leaders set their priorities, benefit more from the interaction between Lean and BIM, and revise their strategies accordingly. This study identifies Lean/BIM categories and subcategories as a roadmap for research and implementation. In this context, the study reveals the relationship between the categories/subcategories along with the weights and most and less important categories for Lean/BIM implementation and research.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A lean construction and BIM interaction model for the construction industry\",\"authors\":\"H. Bayhan, Sevilay Demirkesen, Chengyi Zhang, A. Tezel\",\"doi\":\"10.1080/09537287.2021.2019342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract An Analytical Network Process (ANP) was created to test the Lean and BIM concepts with data collected from U.S. companies to find the success factors of the Lean/BIM framework. After an extensive literature review, a total of 17 sub-categories for Lean/BIM are classified into three clusters, namely Communication, Production, and Visualization. An ANP network is then established to station the links between the attributes of the framework while computing their importance weights. Eight experienced civil engineers took part in the questionnaire study to assess the relations between the attributes. The main purpose of this study is to reveal the synergy between Lean and BIM with different components reflecting this synergy and present the Lean and BIM synergy on a comprehensive model. The results indicate that Production is the prominent cluster and Production Control, Standardization and Information accuracy are the most important factors in the Lean/BIM synergy. To validate the model, five construction projects were selected to test and observe the results accordingly. The study is expected to help construction industry leaders set their priorities, benefit more from the interaction between Lean and BIM, and revise their strategies accordingly. This study identifies Lean/BIM categories and subcategories as a roadmap for research and implementation. In this context, the study reveals the relationship between the categories/subcategories along with the weights and most and less important categories for Lean/BIM implementation and research.\",\"PeriodicalId\":20627,\"journal\":{\"name\":\"Production Planning & Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2022-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Production Planning & Control\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/09537287.2021.2019342\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Planning & Control","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/09537287.2021.2019342","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 11

摘要

本文创建了一个分析网络流程(ANP),通过从美国公司收集的数据来测试精益和BIM概念,以找到精益/BIM框架的成功因素。经过广泛的文献回顾,精益/BIM共有17个子类别,分为三个集群,即通信,生产和可视化。然后建立一个ANP网络,在计算其重要性权重的同时,在框架的属性之间建立链接。8名经验丰富的土木工程师参与了问卷研究,以评估属性之间的关系。本研究的主要目的是揭示精益和BIM之间的协同作用,通过不同的组件来反映这种协同作用,并以一个综合的模型来呈现精益和BIM的协同作用。结果表明,生产是突出的集群,生产控制、标准化和信息准确性是精益/BIM协同的最重要因素。为了验证模型的有效性,选择了五个建设项目进行相应的测试和观察结果。该研究有望帮助建筑行业领导者确定他们的优先事项,从精益和BIM之间的互动中获益更多,并相应地修改他们的战略。本研究确定了精益/BIM类别和子类别,作为研究和实施的路线图。在此背景下,该研究揭示了类别/子类别之间的关系,以及精益/BIM实施和研究的权重以及最重要和最不重要的类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A lean construction and BIM interaction model for the construction industry
Abstract An Analytical Network Process (ANP) was created to test the Lean and BIM concepts with data collected from U.S. companies to find the success factors of the Lean/BIM framework. After an extensive literature review, a total of 17 sub-categories for Lean/BIM are classified into three clusters, namely Communication, Production, and Visualization. An ANP network is then established to station the links between the attributes of the framework while computing their importance weights. Eight experienced civil engineers took part in the questionnaire study to assess the relations between the attributes. The main purpose of this study is to reveal the synergy between Lean and BIM with different components reflecting this synergy and present the Lean and BIM synergy on a comprehensive model. The results indicate that Production is the prominent cluster and Production Control, Standardization and Information accuracy are the most important factors in the Lean/BIM synergy. To validate the model, five construction projects were selected to test and observe the results accordingly. The study is expected to help construction industry leaders set their priorities, benefit more from the interaction between Lean and BIM, and revise their strategies accordingly. This study identifies Lean/BIM categories and subcategories as a roadmap for research and implementation. In this context, the study reveals the relationship between the categories/subcategories along with the weights and most and less important categories for Lean/BIM implementation and research.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Production Planning & Control
Production Planning & Control 管理科学-工程:工业
CiteScore
19.30
自引率
9.60%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.
期刊最新文献
‘The rules of the game’: How business research journals discourage knowledge translation to practice and what needs to change Exploring pillars of supply chain competitiveness: insights from leading global supply chains Integrating circular economy and Industry 4.0 for sustainable supply chain management: a dynamic capability view A framework for the systematic implementation of Green-Lean and sustainability in SMEs Exploring the barriers in medical additive manufacturing from an emerging economy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1