2024 : 5 : 6
Jamal Arkat

Jamal Arkat

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 55912953100
Faculty: Faculty of Engineering
Address: Department of Industrial Engineering, University of Kurdistan, Sanandaj, Iran
Phone: 08733660073

Research

Title
The application of combined simulated annealing algorithm to solve multiple-server facility location problem
Type
Presentation
Keywords
Facility location problem, queuing system, combined simulated annealing algorithm
Year
2017
Researchers Mahmud golabi ، Jamal Arkat ، Saeid Kamkar

Abstract

Facility location problem is one of the most famous branches of operational research which is used to find the best location for establishing the facilities. Congested facility location problem is a subcategory of facility location problems in which customers have to wait in a queue in order to receive the service. In this type of location problems, in addition to finding the best location for facilities, the number of assigned servers to each facility should be optimized to minimize the customer’s aggregate waiting time or the server’s idle time. Since the location problems are known as NP-hard problems on a general graph, this study aims to develop a combined simulated annealing algorithm to improve the quality of solution based on the location and number of servers simultaneously.