Reducing construction waste in the construction life cycle of industrial projects during design phase by using system dynamics

Meshref, Ahmed Nouh; Elkasaby, ELsayed Abdel Fattah Ahmed; Farid, Ahmed Abdel Kader Mohamed

doi:10.1016/j.jobe.2023.106302

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…Nguyen and Sharmak used SDM to evaluate environmental performance, demonstrating how Lean methods and techniques like the Last Planner System (LPS) and Poka-Yoke reduce processing time and CO2 emissions [52]. Meshref et al proposed a decision-making framework based on SDM for managing construction material waste throughout the life cycles of industrial projects, integrating BIM and Lean design into the design phase [53]. On the other hand, Omotayo et al diagnosed kaizen costing and budgeting practices at early design stages for construction projects in Nigeria using SDM alongside the Analytical Hierarchy Process (AHP) [54].…”

Section: System Dynamics Applications In Lean Construction Researchmentioning

confidence: 99%

“…Anylogic © is a multimethod simulation software adopted because its features differ from other platforms, such as error reporting, accessibility, availability, integration ability, and modeling flexibility [53]. It allows for automating error checks (per Java rules) for cases like equation checking, modeling errors, or dimension mismatch.…”

Section: System Dynamic Modelingmentioning

confidence: 99%

“…Also, it eases the process of integration into the system. The software works with several numeric solvers that ensure extensive simulation capabilities, including general and interactive simulations, sensitivity analysis, optimization, and Monte Carlo prediction [53]. Notably, AnyLogic is capable of multimethod simulation, which involves upscaling to discrete event simulation (DES) and agent-based modeling (ABM).…”

Section: System Dynamic Modelingmentioning

confidence: 99%

“…Notably, AnyLogic is capable of multimethod simulation, which involves upscaling to discrete event simulation (DES) and agent-based modeling (ABM). This feature enables the development of models that escalate the strategic level of analysis into other analytical levels, such as tactical and operational [53]. Most respondents, 59.72%, hold master's degrees, followed by 25.00% with bachelor's degrees, and those with doctoral degrees make up 8.33%, and the remaining 6.94% have a high school diploma or equivalent, some college but no degree, and an associate degree.…”

Section: System Dynamic Modelingmentioning

confidence: 99%

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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 Dynamics Applications In Lean Construction Researchmentioning

confidence: 99%

Section: System Dynamic Modelingmentioning

confidence: 99%

Section: System Dynamic Modelingmentioning

confidence: 99%

Section: System Dynamic Modelingmentioning

confidence: 99%

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