A Dynamic Evaluation Method for the Development of Intelligent Construction Technology in the Construction Field Based on Structural Equation Model–System Dynamics Model

Wang, Yadong; Zhao, Jun; Gao, Ning; Shen, Fuqiang

doi:10.3390/buildings14020417

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…The final stage concerns the application of the SDM, which introduces new policies, strategies, rules, and critical decision points to the real-world system. Three tests are applied in this paper: model stability [64], model unit consistency [65], and parameter variation test [66].…”

Section: System Dynamic Modelingmentioning

confidence: 99%

Into Mitigating Making-Do Practices using the Last Planner System and BIM: A System Dynamic Analysis

Karaz,

Teixeira,

Amaral

2024

Preprint

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Effective waste elimination is critical for the success of construction projects. Although several studies have focused on various aspects of construction waste, limited efforts have investigated the dynamic effect of Making-Do (MD) practices on productivity, rework, defects, and materials wastage. From a lean construction perspective, this study aims to address MD waste using the Last Planner System (LPS) and BIM. First, the casual structure that can cause MD in construction projects was expressed in a casual loop diagram (CLD), and thematic analysis uncovered the strategies of LPS-BIM to eliminate MD identified by reviewing the literature. Secondly, twenty-five strategies from the LPS and BIM strategies to address MD using Structural Equation Modeling (SEM) were assessed. Subsequently, a system dynamics model (SDM) for investigating LPS-BIM strategies on MD decisions in a construction project was formulated based on the underlying causal loop diagrams and the mathematical relations among the variables. Finally, the model was applied to three projects, and simulations for four LPS-BIM scenarios were carried out. The findings show that dynamic interactions among diverse production planning and control factors are critical in evaluating MD impacts on a construction project. The results demonstrate that the LPS-BIM approach resulted in an average 43.8% reduction in the tasks performed with MD, 45.3% of constraints, 66.5% of construction waste, increasing 13.7% completion rate, and 29.3% cost reduction, demonstrating that LPS-BIM as a more efficient solution for MD mitigation and construction planning.

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Section: System Dynamic Modelingmentioning

confidence: 99%

Into Mitigating Making-Do Practices using the Last Planner System and BIM: A System Dynamic Analysis

Karaz,

Teixeira,

Amaral

2024

Preprint

View full text Add to dashboard Cite

show abstract

Appraisal model on how accounting data analytics impacts public sector sustainability reporting

Huy,

Phuc

2024

Sustainable Futures

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Mitigating Making-Do Practices Using the Last Planner System and BIM: A System Dynamic Analysis

Karaz,

Teixeira,

Amaral

2024

Buildings

View full text Add to dashboard Cite

Effective waste elimination is critical for the success of construction projects. Although several studies have focused on various aspects of construction waste, limited efforts have yet to investigate the dynamic effect of Making-Do (MD) practices on productivity, rework, defects, and material waste. From a lean construction perspective, this study aims to address MD waste using the Last Planner System (LPS) and BIM. First, the causal structure that can cause MD in construction projects was expressed in a causal loop diagram (CLD), and thematic analysis uncovered the strategies of LPS-BIM to eliminate MD identified by reviewing the literature. Secondly, twenty-five strategies from the LPS and BIM strategies to address MD using structural equation modeling (SEM) were assessed. Subsequently, a system dynamics model (SDM) for investigating LPS-BIM strategies on MD decisions in a construction project was formulated based on the underlying causal loop diagrams and the mathematical relations among the variables. Finally, the model was applied to three projects, and simulations for four LPS-BIM scenarios were carried out. The findings show that dynamic interactions among diverse production planning and control factors are critical in evaluating MD impacts on a construction project. The results demonstrate that the LPS-BIM approach resulted in an average 43.8% reduction in the tasks performed with MD, 45.3% of constraints, 66.5% of construction waste, an increasing 13.7% completion rate, and a 29.3% cost reduction, demonstrating that LPS-BIM is a more efficient solution for MD mitigation and construction planning. This study aims to guide construction planners and policymakers to better manage their production constraints by eliminating negative MD practices from their plans.

show abstract

A Dynamic Evaluation Method for the Development of Intelligent Construction Technology in the Construction Field Based on Structural Equation Model–System Dynamics Model

Cited by 4 publications

References 26 publications

Into Mitigating Making-Do Practices using the Last Planner System and BIM: A System Dynamic Analysis

Into Mitigating Making-Do Practices using the Last Planner System and BIM: A System Dynamic Analysis

Appraisal model on how accounting data analytics impacts public sector sustainability reporting

Mitigating Making-Do Practices Using the Last Planner System and BIM: A System Dynamic Analysis

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