Document Type : Research Paper
Authors
1 Ph.D. Student in Industrial Management, Department of Industrial Management, Faculty of Management and Economics,, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Associate Professor, Department of Industrial Engineering, Faculty of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
3 Assistant Professor, Department of Industrial Management and Technology, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract
In today’s project-based organizations, where multiple projects are executed concurrently within work teams, human resources play a crucial role in the success or failure of these organizations. Consequently, human resources are recognized as one of the most essential resources for these organizations, and their optimization can significantly increase productivity while reducing organizational time and costs. This underscores the importance of effective human resource management and highlights the need for special attention to this area. Therefore, this study presents a mixed-integer nonlinear programming model for the multi-objective project scheduling problem with resource constraints, multi-skilled personnel allocation and the assignment of projects to work teams. The mathematical model of this research includes the multiple objectives of simultaneous minimization of the total costs of setting up work teams and the use of human resources and the total flow time of projects. To make the model more realistic, the effect of learning is also considered. Subsequently, a diverse set of test problems at varying scales was designed. Then, the Multi-Objective Artificial Immune System (MOAIS) algorithm and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) were utilized to solve the problems. The results demonstrate the superior performance of the NSGA-II algorithm compared to the MOAIS algorithm.
Keywords
Main Subjects
)