Scheduling of Bi-Objective Projects with Multi-Skilled Working Groups, Learning Effect and Work-Group Dependent Setup and Processing Times

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 Associate Professor, Department of Industrial Management and Technology, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

10.22084/ier.2025.29539.2174

Abstract

Today, in project-oriented organizations, projects are carried out in parallel and in the form of teamwork. Therefore, human resource management in project-oriented organizations plays a key role in achieving projects. In fact, the appropriate allocation of employees with different skills to work teams to carry out projects, in addition to preserving the financial resources of the organization, also reduces the time of project processing. Therefore, in this research, a multi-objective mixed integer non-linear mathematical programming (MINLP) model is presented. 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 flowtime of projects. Then, to validate the proposed mathematical model, several sample problems have been designed and solved using Lingo software and the constrained method. Then, a multi-objective genetic algorithm with non-dominant sorting (NSGA-II) is used to solve problems in large scales, and the efficiency of the proposed algorithm is measured by comparing with the sum weighted method. 

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References

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Journal of Industrial Engineering Research in Production Systems
Volume 13, Issue 26
September 2025
Pages 19-36

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