Optimization Strategies for Risk Management in Construction Projects to Improve Time, Cost, and Quality Efficiency

Abstract

Construction projects are an important sector in economic development, but often face various risks that can affect the efficiency of time, cost, and quality of the project. These risks can come from various factors, including weather changes, material price fluctuations, limited human resources, and changes in project design. Effective risk management is needed to ensure that construction projects can run according to plan and achieve the desired results. This study aims to evaluate risk management optimization strategies in construction projects to improve time, cost, and quality efficiency. The method used in this study is a literature study with content analysis of various journals, books, and related research reports published in the last five years. The results of the study indicate that technological approaches such as Building Information Modeling (BIM), multi-objective analysis, and multi-agent simulation have an important role in reducing risk and improving the efficiency of construction projects. This technology allows project managers to plan more accurately, manage design changes proactively, and optimize resource use. In conclusion, risk management optimization strategies integrated with modern technology can improve time efficiency, reduce costs, and improve the quality of construction project results. These findings provide important contributions to the development of more effective risk management practices in the construction industry.