Including deprivation costs in facility location models for humanitarian relief logistics

2019 ◽  
Vol 65 ◽  
pp. 89-100 ◽  
Author(s):  
Nathalie Cotes ◽  
Victor Cantillo
2003 ◽  
Vol 51 (1) ◽  
pp. 137-152 ◽  
Author(s):  
Qian Wang ◽  
Rajan Batta ◽  
Christopher M. Rump

Author(s):  
A. L. Medaglia

The low price of coffee in the international markets has forced the Federación Nacional de Cafeteros de Colombia (FNCC) to look for cost-cutting opportunities. An alternative that has been considered is the reduction of the operating infrastructure by closing some of the FNCC-owned depots. This new proposal of the coffee supplier network is supported by (uncapacitated and capacitated) facility location models that minimize operating costs while maximizing service level (coverage). These bi-objective optimization models are solved by means of NSGA II, a multi-objective evolutionary algorithm (MOEA). From a computational perspective, this chapter presents the multi-objective Java Genetic Algorithm (MO-JGA) framework, a new tool for the rapid development of MOEAs built on top of the Java Genetic Algorithm (JGA). We illustrate MO-JGA by implementing NSGA II-based solutions for the bi-objective location models.


1996 ◽  
Vol 47 (5) ◽  
pp. 612-625 ◽  
Author(s):  
Abraham Mehrez ◽  
Zilla Sinuany-Stern ◽  
Tal Arad-Geva ◽  
Shemuel Binyamin

2015 ◽  
Vol 246 (1-2) ◽  
pp. 313-348 ◽  
Author(s):  
Goutam Sen ◽  
Mohan Krishnamoorthy ◽  
Narayan Rangaraj ◽  
Vishnu Narayanan

2002 ◽  
Vol 49 (4) ◽  
pp. 410-421 ◽  
Author(s):  
Halit Üster ◽  
Robert F. Love

Sign in / Sign up

Export Citation Format

Share Document