An automated model for selecting the optimum mobile crane model and on-site position using genetic algorithms Zaki, Tarek M.; Hosny, Osama; Nassar, Khaled
Selecting both the optimum mobile crane model for a lift job and identifying collision-free position on site can result in productivity and safety improvements. Planning for lift operations is a task carried out by experienced lift engineers who examine each mobile crane’s lift-capacity specifications as provided by the cranes manufacturer to determine the most suitable mobile crane, configuration settings and a collision-free placing location. In this paper, an automated model was developed that follows a four-stepped algorithm process. First, is an algorithm that acquires the user defined lift requirements and calculates the required crane configuration settings using non-linear trigonometric equations. Second, is an algorithm that selects a crane model from the database of mobile crane models which mostly fits the calculated configuration in terms of crane safety and operation. Third, an algorithm that provides safety and clearance checks for the selected configuration. Finally, Genetic Algorithms are applied to optimize the process and to select the optimum crane model that has the safest configuration settings to use as well as its optimum placing location on site. The model was designed to generate a site layout plan as an output with a Cartesian coordinate system in order to assist the lift engineers in their planning for lift operations. The model was validated through its implementation on a working construction project in Cairo, Egypt. The outcomes highlighted the potential benefit of the model in assisting lift engineers in the planning of lift operations on construction sites and demonstrated its essential features.
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Attribution-NonCommercial-NoDerivs 2.5 Canada