An integrated decision support system for mobile crane selection

Abstract

This research presents a novel computer-based system for the selection of mobile cranes in building construction. The proposed system integrates four main modules: an algorithm known as the analytical hierarchy process (AHP), the simple multi-attribute ranking technique (SMART), an experience-based algorithm, and a system database. The AHP module assesses the importance of the selection criteria, while SMART applies multi-attribute utility theory. The experience-based algorithm completes the calculations necessary for selecting the best and most technically appropriate crane alternative, and the database module hosts information about 37 different mobile cranes. The methodology followed to achieve the research objective consisted of three main phases. The first involved conducting a comprehensive literature review to identify selection criteria for mobile cranes, as well as a number of face-to-face interviews with experts to finalize the list of selection criteria considered. Face-to-face interviews were also conducted with local experts to obtain a framework for the current practice of crane selection and identify areas in need of improvement. Phase two involved using AHP for data collection in order to assess the importance of the identified criteria. The final phase included an analysis of the collected information and development of a computer application. The system was tested on a hypothetical project and validated using a real-world endeavor to demonstrate its effectiveness for a number of construction management functions, including project planning, scheduling, cost estimation, and the efficient use of available resources. This study determined the most significant selection criteria to be rental cost, crane availability, and safety considerations. The results show the capabilities of the proposed system, as well as its flexibility when working with a wide range of inputs.