Title: Modelling and solving a congested facility location problem considering systems' and customers' objectives
Authors: Mehdi Seifbarghy; Aida Mansouri
Addresses: Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Abstract: This paper presents a model for the location of facilities subject to congestion. Motivated by applications to locating servers in communication networks, bank branches, automatic teller machines (ATMs), and police services centres in order to ease the access of customers to service centres and to reduce total costs of both customers and service providers, the given model in this research is proposed for situations, in which immobile service facilities are congested by stochastic demand, which originates from nearby customer locations. We aim to locating an optimal number of single server facilities experiencing M/M/1 queuing policy and assigning a set of demand nodes to them in such a way as to optimise three objective functions: cost, time, and quality. Two heuristics in order to find near optimal solutions are proposed and compared using statistical methods in order to determine the best heuristic based on designing a set of numerical examples.
Keywords: facility location; congestion; multi-objective decision making; fuzzy logic; heuristics; modelling; congested facilities; considering system objectives; customer objectives; communication networks; bank branches; automatic teller machines; ATMs; police service centres; stochastic demand; queuing policies.
International Journal of Industrial and Systems Engineering, 2016 Vol.22 No.3, pp.281 - 304
Available online: 16 Feb 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article