Optimizing Scaffolding in Construction Site by Applying Mixed-Integer Linear Programming

Abstract

Scaffolding is an essential temporary structure used in construction to support the weight of workers, tools, and materials. Additionally, it serves as a support frame for concrete formwork, playing a critical role in virtually every step of construction. However, poor management of scaffolding can have detrimental effects on overall construction management efficiency, including increased budget and labor expenditure. This can result in the quality of the final product. At present, the management of scaffolding in construction projects is primarily determined by human decision-making. This approach can lead to inadequate management, suboptimal outcomes, and the potential for human error. To address these challenges, this research aims to utilize mathematical modeling, specifically mixed-integer linear programming, to optimize the management of scaffolding in construction projects. This approach allows for the efficient selection of scaffold size, management of scaffold rental and transportation, which can result in a reduction of expenses and an increase in the efficiency of the work. Additionally, the application of mathematical modeling allows for the creation of a plan that can be followed to ensure that the project is completed on schedule and within budget. The research discovered that utilizing the mathematical model on sample data resulted in a reduction of costs by 27.9%. Additionally, the model was able to achieve an optimality gap of no more than 10% from the objective bound within a time frame of 30 minutes.