A Hybrid Framework for Multi-Objective Construction Site Layout Optimization

被引：1
作者：
Borges, Maria Luiza Abath Escorel [1 ]
Granja, Ariovaldo Denis [1 ]
Monteiro, Ari [2 ]
机构：
[1] Departamento de Arquitetura e Construcao, Faculdade de Engenharia Civil, Arquitetura e Urbanismo (FEC), Universidade Estadual de Campinas (UNICAMP), Campinas
[2] Dharma Sistemas, São Paulo
来源：
Buildings | 2024年 / 14卷 / 12期
关键词：
building information modeling (BIM); construction site layout planning; decision-making; genetic algorithm (GA); optimization; systematic layout planning (SLP);
D O I：
10.3390/buildings14123790
中图分类号：
学科分类号：
摘要：
Effective Construction Site Layout Planning (CSLP) ensures the organized placement and sizing of temporary facilities, enhancing workflow and logistical efficiency. Poorly planned layouts, however, can increase material handling times, create bottlenecks, and reduce productivity, ultimately leading to higher costs. The main objective of this study is to introduce a BIM-based hybrid framework for CSLP that integrates Systematic Layout Planning (SLP) with a Genetic Algorithm (GA), developed through a Design Science Research approach. This Construction Site Optimization Framework (CSOF) addresses CSLP as a multi-objective optimization problem, prioritizing efficient positioning of facilities while accounting for workflow intensity, safety, and manager preferences. The framework’s continuous-space modeling supports a realistic approach, moving beyond fixed-location models. Exploratory case studies demonstrated CSOF’s effectiveness, achieving 30.79% to 40.98% reductions in non-value-adding travel distances and adaptability across varied site conditions. In this way, this research provides a decision-support tool that balances automation with decision-maker input, enhancing layout efficiency and operational flexibility in construction site management. © 2024 by the authors.
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