Dergiler / Turkish Journal of Civil Engineering / 2018 / Cilt: 29 - Sayı: 6

Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization

Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*

Sayfa
8691–8713
Yayın Tarihi
2018-11-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Hence, a user-friendly CSLP model that includes a risk assessment approach for safety constraints is proposed by using a Multi-Objective Particle Swarm Optimization algorithm based on Pareto dominance approach to minimize both the construction safety risks of crane operated projects and the total traveling distance of the resources between temporary facilities.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Construction Site Layout Planning (CSLP) comprises determining, sizing and placing of the temporary facilities within the boundaries of a construction site by considering many factors.
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Temel Bulgular & Veri:Traveling distance between facilities and safety risks are two essential factors to be minimized while planning site layout of a construction project.
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Sonuç & Katkı:Hence, a user-friendly CSLP model that includes a risk assessment approach for safety constraints is proposed by using a Multi-Objective Particle Swarm Optimization algorithm based on Pareto dominance approach to minimize both the construction safety risks of crane operated projects and the total traveling distance of the resources between temporary facilities.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Construction site layout planning · crane · multi-objective optimization

Özet

Construction Site Layout Planning (CSLP) comprises determining, sizing and placing of the temporary facilities within the boundaries of a construction site by considering many factors. Traveling distance between facilities and safety risks are two essential factors to be minimized while planning site layout of a construction project. Many studies treated CSLP as a single objective optimization problem. They have mainly focused on either diminishing the travel cost of resources on site without considering the safety aspect or vice versa. While a few of the studies have treated the problem as a multi-objective optimization, none of them included a risk assessment approach including crane-related constraints. Hence, a user-friendly CSLP model that includes a risk assessment approach for safety constraints is proposed by using a Multi-Objective Particle Swarm Optimization algorithm based on Pareto dominance approach to minimize both the construction safety risks of crane operated projects and the total traveling distance of the resources between temporary facilities.

Abstract

Construction Site Layout Planning (CSLP) comprises determining, sizing and placing of the temporary facilities within the boundaries of a construction site by considering many factors. Traveling distance between facilities and safety risks are two essential factors that need to be minimized while planning site layout of a construction project. Many studies treated CSLP as a single objective optimization problem. They have mainly focused on either diminishing the travel cost of resources on site without considering the safety aspect or vice versa. While a few of the studies have treated the problem as a multi-objective optimization problem, none of them included a risk assessment approach including crane-related constraints. Hence, a user-friendly CSLP model that includes a risk assessment approach for safety constraints is proposed by using a Multi-Objective Particle Swarm Optimization algorithm based on Pareto dominance approach to minimize both the construction safety risks of crane operated projects and the total traveling distance of the resources between temporary facilities.

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Bu Makaleye Atıf Yap

ORAL, M., BAZAATI, S., AYDINLI, S., ORAL, E. (2018). Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization. Turkish Journal of Civil Engineering, Cilt: 29 - Sayı: 6, 8691–8713. https://ajindex.com/articles/864269

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