Document Type : Original Article
1 Assistant Professor of Industrial Management, Faculty of Management, Electronic Unit, Islamic Azad University, Tehran, Iran.
2 Assistant Professor of Information Technology Management, Faculty of Management, Electronic Unit, Islamic Azad University, Tehran, Iran.
3 Assistant Professor of Industrial Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran.
4 4- Ph.D, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
The parallel machine scheduling problem and preventive maintenance of this type of machineries is one of the key problems in manufacturing processes where has been always a topic of interest for researchers. This research aims to design an integrated model for scheduling and preventive maintenance for parallel machines considering the probability of disruption in facilities and uncertainty in parameters of the model. In this way, a mathematical model with two objective functions of minimizing the total weight time needed for completing the products and also maximizing the reliability of the production line was presented. Considering the hard structure of the proposed model from computational point of view, NSGA II and MOPSO meta-heuristic algorithms were used to solve the numerical medium and large-scale problems. Therefore, numerical problems were designed in different size and solved by the proposed algorithms. The results showed that the NSGA II compared to the MOPSO algorithm provide better solutions. However, MOPSO has better efficiency than NSGA II in term of computation time, this superiority is not considerable and it can not be considered as a definitive basis for comparing two algorithms.