An Integrated Decision Support System for Optimizing Time-Cost Trade-offs in Linear Repetitive Projects

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

The primary aim of this paper is to minimize the overall completion time linear repetitive projects while simultaneously reducing direct and indirect costs by employing predefined construction methods. To address these challenges, study proposes a dual-optimization framework that integrates Genetic Algorithms (GA) Particle Swarm Optimization (PSO). methodology involves decomposing tasks into sub-tasks, enabling more detailed feasible Time-Cost Trade-off (TCT) analysis, which further combined with Line Balance (LOB) methodology. A comparative analysis between GA PSO highlights their respective strengths effectiveness, an area previously underexplored in literature. findings reveal proposed significantly reduces project durations. approach achieves reductions approximately 3.25% costs, 20% 7% total demonstrates slightly better cost efficiency 4% reduction similar costs. Both methods deliver time, showcasing effectiveness streamlining processes. This contributes field presenting GA-PSO-based Linear Repetitive Project (LRPTCT) model, integrating TCT LOB, offering novel solution complexities projects. Furthermore, its provides valuable insights for optimizing management practices.

Язык: Английский

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Empowering Sustainable Infrastructure and Sustainable Development Goals Through Industry 5.0 Implementation

Sustainable Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

ABSTRACT The transition to Industry 5.0 represents a significant transformation in the global industrial landscape, combining advanced technology with human creativity promote sustainable development. This study investigates potential of advance Sustainable Development Goals (SDGs) within infrastructure projects, addressing critical gap existing research concerning its practical applications and outcomes. Utilizing Partial Least Squares Structural Equation Modeling (PLS‐SEM), analyzes data collected from 150 construction professionals Egypt, focusing on key enablers such as digital skills, eco‐innovation, proactive governmental support. results demonstrate that these significantly enhance environmental resilience, social inclusivity, economic efficiency projects. offers novel theoretical framework empirical evidence constructive role achieving outcomes, providing valuable insights for policymakers, industry stakeholders, academic researchers. These findings highlight drive innovation aligns SDGs fosters sustainable, human‐centric

Язык: Английский

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A Holistic Evaluation of Success Factors for Advancing IoT Adoption Through Mitigating Barriers in Construction Site Safety

Internet of Things, Год журнала: 2025, Номер unknown, С. 101595 - 101595

Опубликована: Март 1, 2025

Язык: Английский

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Automation in tower cranes over the past two decades (2003–2024)

Automation in Construction, Год журнала: 2024, Номер 170, С. 105889 - 105889

Опубликована: Дек. 14, 2024

Язык: Английский

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