scholarly journals Stochastic optimization for the carrier selection problem in humanitarian relief

2020 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Reza Ramezanian ◽  
Milad Ghorbani
Keyword(s):  
Stochastic Optimization ◽  
Selection Problem ◽  
Humanitarian Relief ◽  
Carrier Selection

A heuristic for the routing and carrier selection problem

2007 ◽  
Vol 183 (2) ◽  
pp. 926-932 ◽  
Author(s):  
Marie-Claude Bolduc ◽  
Jacques Renaud ◽  
Fayez Boctor
Keyword(s):  
Selection Problem ◽  
Carrier Selection

scholarly journals A genetic algorithm for the routing and carrier selection problem

2012 ◽  
Vol 9 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Jozef Kratica ◽  
Tijana Kostic ◽  
Dusan Tosic ◽  
Djordje Dugosija ◽  
Vladimir Filipovic
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Numerical Experiments ◽  
Selection Problem ◽  
Evolutionary Approach ◽  
Data Sets ◽  
Genetic Operators ◽  
Encoding Scheme ◽  
Standard Data ◽  
Carrier Selection

In this paper we present new evolutionary approach for solving the Routing and Carrier Selection Problem (RCSP). New encoding scheme is implemented with appropriate objective function. This approach in most cases keeps the feasibility of individuals by using specific representation and modified genetic operators. The numerical experiments were carried out on the standard data sets known from the literature and results were successful comparing to two other recent heuristic for solving RCSP.

scholarly journals MULTIATTRIBUTE WAREHOUSE LOCATION SELECTION IN HUMANITARIAN LOGISTICS USING HESITANT FUZZY AHP

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Cengiz Kahraman
Keyword(s):  
Fuzzy Sets ◽  
Fuzzy Ahp ◽  
Humanitarian Logistics ◽  
Decision Makers ◽  
Selection Problem ◽  
Technical Equipment ◽  
Humanitarian Relief ◽  
Location Selection ◽  
Warehouse Location ◽  
Relief Operations

Deploying warehouses at strategic locations becomes an important issue for humanitarian relief organizations in order to improve their relief aid capability and rescue plan. The delivery of sufficient technical equipment and provision of shelter and reinforcement to victims is a significant event during relief operations. Warehouse location selection in humanitarian logistics (HL) is a challenging process because choosing a non-optimal location may cause additional problems during rescue activities. The conventional decision making tools used for a warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. In many situations, the values of the qualitative attributes are often incompletely determined by the decision-makers. The fuzzy set theory can capture this type of uncertainty. In this paper, a recent extension of ordinary fuzzy sets, namely hesitant fuzzy sets, is used for considering the decision makers hesitancy in the evaluation. To solve the HL warehouse location selection problem, we propose a new hesitant fuzzy Analytic Hierarchy Process (AHP) method. We also present a HL warehouse location selection case study for a Turkish humanitarian relief organization by using hesitant fuzzy preference information.

Engineers, humanitarian relief, and water supplies

Waterlines ◽  
1994 ◽  
Vol 13 (1) ◽  
pp. 2-3
Author(s):  
Bobby Lambert
Keyword(s):  
Humanitarian Relief ◽  
Water Supplies
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