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

Project managers often face some challenges resulting from the scarcity of resources in construction management. Levelling the used resources in multiple projects is a frequently encountered problem in construction areas and manufacturing sectors. Tn this regard, the current study proposes a robust Forensic-Rased Tnvestigation (FRT) algorithm for resource leveling in multiple projects, considering different objective functions of the resource graphs. To this end, Fuzzy C-Means (FCM) clustering approach was fused into the main operation of the FRT to enhance the convergence rate using the population information. The proposed scheduling examines different objective functions to efficiently optimize the resource profile selection. Two case studies were taken into account in this research to elaborate on the performance of the improved optimization algorithm while dealing with the resource-leveling problem in multiple projects. The experimental findings and statistical comparisons revealed that the developed Fuzzy clustering Forensic-Rased Tnvestigation (FFRT) could acquire solutions of high quality and outperform the compared optimization algorithms. (c) 2024 Sharif University of Technology. All rights reserved.