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

Year 2018, Volume: 29 Issue: 6, 8691 - 8713, 01.11.2018

Mustafa Oral , Siamak Bazaatı Serkan Aydınlı , Emel Oral

https://doi.org/10.18400/tekderg.389638

Cited By: 8

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 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.

Keywords

Construction site layout planning, crane, multi-objective optimization, particle swarm optimization, safety

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

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. 

Keywords

Construction site layout planning, crane, multi-objective optimization, particle swarm optimization, safety

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