The rational determination of the number and placement of jib cranes on a construction site enhances labor productivity and reduces construction costs. An inefficient selection of jib cranes, based solely on site constraints or engineers’ previous experience, may result in additional expenses and delays in project execution. The integration of modern information technologies with optimization methods can improve the efficiency and accuracy of mechanization equipment selection and placement strategies. An analysis of existing information models for selecting lifting machinery indicates that they often fail to consider the sequence of crane selection and the potential redistribution of workloads among different machines. This paper presents an algorithm for optimizing crane selection to address this gap. The proposed methodology enables the determination of the optimal crane size and workload distribution principles among various lifting mechanisms. Additionally, a procedure for forming efficient sets of jib cranes is introduced. This approach is based on a comprehensive analysis of the assembly weights of structural elements and their spatial arrangement within the functional reach of cranes of different sizes. The algorithm allows for the identification of the minimum and maximum crane sizes required for the task, as well as an estimation of the optimal number of cranes needed for the construction site. The proposed solution is demonstrated through an implementation in a developed information system.