Editorial - MCQT'10: computational methods and applications in queueing theory

Emergency Location Problems with an M/G/k Queueing System

  Since late 1960's, the emergency location problems, fire stations and medical emergency services have attracted the attention of researchers. Mathematical models, both deterministic and probabilistic, have been proposed and applied to find suitable locations for such facilities in many urban and rural areas. Here, we review some models proposed for finding the location of such facilities, wit...

A Review of Peridynamics and its Applications; Part1: The Models based on Peridynamics

Peridynamics is a nonlocal version of the continuum mechanics, in which partial differential equations are replaced by integro-differential ones. Due to not using spatial derivatives of the field variables, it can be applied to problems with discontinuities. In the primary studies, peridynamics has been used to simulate crack propagation in brittle materials. With proving the capabilities of pe...

Hotel Location Problem Using Erlang Queuing Model under Uncertainty (RESEARCH NOTE)

Determining and selecting an appropriate location to construct a hotel is one of the most challenging concerns which hotel industry investors are facing with. In this study we attempt to find a suitable response to this research/application need by a mathematical model using the queueing theory and the fuzzy logic. Therefore hotel, the reception system and travelers accommodations are formulate...

A New Heuristic Solution Method for Maximal Covering Location-Allocation Problem with M/M/1 Queueing System

We consider the queueing maximal covering location-allocation problem (QM-CLAP) with an M/M/1 queueing system. We propose a new solution procedure based on decomposition of the problem into smaller sub-problems. We solve the resulting sub-problems both with a branch and bound algorithm and with the meta-heuristic GRASP. We also solve the entire model with GRASP. Computational results for these ...

Editorial: Computational Neuroscience and Modeling of Diseases: Do We Need New Paradigms?