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A lean construction and BIM interaction model for the construction industry

Bayhan, Hasan Gokberk; Demirkesen, Sevilay; Zhang, Chengyi; Tezel, Algan

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Hasan Gokberk Bayhan

Sevilay Demirkesen

Chengyi Zhang

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Associate Professor in Civil Engineering and Management


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.


Bayhan, H. G., Demirkesen, S., Zhang, C., & Tezel, A. (2022). A lean construction and BIM interaction model for the construction industry. Production Planning and Control, 34(15), 1447-1474.

Journal Article Type Article
Acceptance Date Dec 10, 2021
Online Publication Date Jan 3, 2022
Publication Date Jan 3, 2022
Deposit Date Feb 6, 2023
Publicly Available Date Feb 10, 2023
Journal Production Planning and Control
Print ISSN 0953-7287
Electronic ISSN 1366-5871
Publisher Informa UK Limited
Peer Reviewed Peer Reviewed
Volume 34
Issue 15
Pages 1447-1474
Keywords Analytic network process (ANP), Lean construction, BIM, Lean/BIM, Project Management
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Publisher URL
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning & Control on 3/1/22, available at:


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