Palavras-chave
construction site layout planning
BIM
layout optimization
genetic algorithm
Como Citar
Dados de financiamento
Resumo
O planejamento do layout canteiro de obras (CSLP) pode ser conduzido como um problema de otimização para determinar a concepção ideal de instalações temporárias, alocação adequada para equipamentos e planejamento de caminhos. Embora estudos anteriores mostrem abordagens avançadas de otimização do layout, como modelos matemáticos e algoritmos computacionais, o CSLP é negligenciado por profissionais. A experiência anterior geralmente é preferida devido à complexidade e falta de flexibilidade em tais soluções automatizadas. Assim, esta pesquisa envolve tomadores de decisão no CSLP, assumindo que um método de regras baseadas no conhecimento integrado com uma técnica de otimização alcança soluções mais assertivas. O Systematic Layout Planning (SLP) é utilizado para planejar o arranjo físico de instalações na indústria manufatureira, aplicando regras para avaliar a necessidade de proximidade entre estas. Também, o Building Information Modeling fornece uma estrutura adequada para apoiar a tomada de decisão. Através da Design Science Research, esta pesquisa propõe um método para apoiar a tomada de decisão no CSLP. Este estudo investiga a utilidade de um algoritmo genético baseado no SLP para alcançar uma solução otimizada de layout, cujos dados de entrada são fornecidos pelo gestor. Relações de proximidade são determinadas de acordo com a intensidade de fluxo entre instalações, preocupações de segurança e preferências do gestor. O artefato foi desenvolvido em colaboração com potenciais usuários através de sua constante avaliação das etapas do método. Os resultados mostram a eficiência do método ao reportar a solução que maximiza a redução de distâncias ponderadas.
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