Modelling and solving a congested facility location problem considering systems' and customers' objectives

Mehdi Seifbarghy and Aida Mansouri

International Journal of Industrial and Systems Engineering, 2016, vol. 22, issue 3, 281-304

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. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=74707 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:22:y:2016:i:3:p:281-304

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().