Presenting a multi-objective model for locating warehouses through particle swarm optimization algorithm in Artaville Tire

Subject Areas : Journal of Iranian Social Development Studies

Hojatolah Derakhshan ¹ ( PhD student in Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran )
Hasan Mehrmanesh ² ( Assistant Professor, Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran )
Arefe Fadavi ³ ( Assistant Professor, Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran )

Received: 2021-05-16 Accepted : 2021-06-21 Published : 2007-12-22

Keywords: ptimization, location, Artaville, Particle Swarm Algorithm,

Abstract :

This research has been written with the aim of presenting a multi-objective model for locating warehouses through the particle swarm optimization algorithm in Artaville Tire Company. The present study is applied in terms of purpose and in terms of the nature of research and data collection is a survey and descriptive branch. Data collection tools are documents, documents and interviews with experts. Also, considering that the research seeks to locate the warehouse using the particle swarm optimization algorithm, the research is of a predictive type. Given that this problem falls into the category of Hard-PN problems, a supra-innovative method based on the particle swarm optimization algorithm is used to solve it. To evaluate the performance of the proposed algorithm, two particle group optimization algorithms and genetics have been used as benchmark algorithms. The proposed algorithms and particle group optimization are implemented in 7.5 Matlab programming environment and the genetic algorithm is implemented using Matlab 7.5 software toolbox. According to the results of this study, it was found that the use of particle swarm algorithm to solve the problem of vehicle routing can improve the amount of objective function as well as the total number of routes traveled by vehicles.