Solving the multi-objective mathematical model of online load balancing in the production line with the Hybrid method of genetic algorithm and ant lion
Subject Areas : Air Pollution
Nima
Rahmani
1
(PhD student, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Alireza
Irajpour
2
(Associate Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Naser
Hamidi
3
(Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Akbar
Alam Tabriz
4
(Professor, Department of Industrial Management, Shahid Beheshti University, Tehran, Iran)
Reza
Ehtesham Rasi
5
(Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Keywords: multi-objective mathematical model, Online balance of production load, combined genetic algorithm and ant lion,
Abstract :
The timely production of orders and their delivery to the customer is a competitive advantage that makes production systems and becomes customer satisfaction. Balancing the load of orders on work stations, reducing the time of the production period and minimizing the cost of human skills and access to machines can be components in the cases of balance of production lines. In this article, by addressing the above components of the mathematical model, several objectives for checking the online load balance are presented. Solving the mathematical model is done by introducing the combined meta-heuristic algorithm of multi-objective genetics and ant milk, this solution method selects the fittest parents based on the fitness of the initial population by using the feature of selecting the initial population and having the search memory to find quality answers at the right time. produces. The results obtained compared to the previous online load balancing methods show that the production time and load balance on the workstations have been improved.
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