Prospects of the use of information technologies in the placement of cranes on the construction site

  • Mudryj I.B., Ph.D., Senior Lecturer National University of Lviv Polytechnic, Lviv
Keywords: construction site, crane location schemes, location optimization, optimization algorithm, tower cranes, construction site planning, information technology

Abstract

The main focus of this paper is to synthesize the scientific experience regarding the optimization of tower crane placement on a construction site. The research presented in the article revolves around the theme of the effectiveness of information planning for construction sites, particularly in the optimal positioning of tower cranes to enhance work efficiency. The study aims to identify parameters that are often overlooked in modeling based on practical experience.

Improper spatial placement of tower cranes can lead to additional costs and project delays. To enable optimization of the spatial positioning of tower cranes, an analysis of leading-edge information technologies utilized in the practice of optimal construction site planning has been conducted. The use of modern information modeling technologies in conjunction with optimization methods makes the process of tower crane spatial placement more efficient and accurate. These technologies will help determine the spatial placement of all construction resources on the site, ensuring better outcomes for both physical space utilization and machine technical characteristics. The reliance solely on the experience of construction or project organization personnel for decision-making in construction site planning precludes the application of an information-based approach. Through analysis, the main groups of methodologies used to determine the effective placement of tower cranes on construction sites have been identified, along with an examination of their drawbacks based on the algorithms applied for optimization. Ways to enhance the efficiency of information modeling for tower crane placement on construction sites have been proposed to enable the adoption of more precise and effective decisions.

Published
2024-08-24