Robust forensic-based investigation algorithm for resource leveling in multiple projects

Document Type : Article


1 Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam

2 Faculty of Civil Engineering, Can Tho University of Technology (CTUT), 256 Nguyen Van Cu Street, Ninh Kieu District, Can Tho City, Vietnam

3 Building and Industrial Construction Faculty, Hanoi University of Civil Engineering (HUCE), 55 Giai Phong Street, Hai Ba Trung District, Ha Noi, Viet Nam

4 Binh Duong University, 504 Binh Duong Avenue, Hiep Thanh Ward, Thu Dau Mot City, Binh Duong Province, Vietnam


The project managers often face challenging due to a scarcity of resources in construction management. Levelling the used resources in multiple projects is a frequently encountered problem in construction areas and manufacturing sectors. This study proposes a robust forensic-based investigation (FBI) algorithm for resource leveling in multiple projects with considerations of different objective functions of resource graphs. The fuzzy c-means clustering approach is fused into the main operation of the FBI to enhance the rate of convergence by utilizing population information. The scheduling examines different objective functions for optimizing resource profile selection. Two application case studies are used to demonstrate the performance of the improved optimization algorithm in dealing with the resource-leveling problem in multiple projects. Experimental findings and statistical comparisons demonstrated that the developed FFBI could acquire high quality solutions and surpass those of compared optimization algorithms.