Facility location under demand uncertainty: Response to a large-scale bio-terror attack

2012 ◽  
Vol 46 (1) ◽  
pp. 78-87 ◽  
Author(s):  
Pavankumar Murali ◽  
Fernando Ordóñez ◽  
Maged M. Dessouky
Keyword(s):  
Facility Location ◽  
Large Scale ◽  
Demand Uncertainty ◽  
Terror Attack

Vulnerability analysis for large-scale and congested road networks with demand uncertainty

2012 ◽  
Vol 46 (3) ◽  
pp. 501-516 ◽  
Author(s):  
Bi Yu Chen ◽  
William H.K. Lam ◽  
Agachai Sumalee ◽  
Qingquan Li ◽  
Zhi-Chun Li
Keyword(s):  
Large Scale ◽  
Demand Uncertainty ◽  
Road Networks ◽  
Vulnerability Analysis

Two-Facility Location Problem with Infinite Retrial Queue

2012 ◽  
pp. 294-310
Author(s):  
Ebrahim Teimoury ◽  
Mohammad Modarres Yazdi ◽  
Iman Ghaleh Khondabi ◽  
Mahdi Fathi
Keyword(s):  
Steady State ◽  
Facility Location ◽  
Demand Uncertainty ◽  
Location Problem ◽  
Retrial Queue ◽  
Facility Location Problem ◽  
Fixed Cost ◽  
Performance Indexes ◽  
Matrix Geometric Method ◽  
Primary Service

This paper analyzes a two-facility location problem under demand uncertainty. The maximum server for the ith facility is It is assumed that primary service demand arrivals for the ith facility follow a Poisson process. Each customer chooses one of the facilities with a probability which depends on his or her distance to each facility. The service times are assumed to be exponential and there is no vacation or failure in the system. Both facilities are assumed to be substitutable which means that if a facility has no free server, the other facility is used to fulfill the demand. When there is no idle server in both facilities, each arriving primary demand goes into an orbit of unlimited size. The orbiting demands retry to get service following an exponential distribution. In this paper, the authors give a stability condition of the demand satisfying process, and then obtain the steady-state distribution by applying matrix geometric method in order to calculation of some key performance indexes. By considering the fixed cost of opening a facility and the steady state service costs, the best locations for two facilities are derived. The result is illustrated by a numerical example.

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