scholarly journals Centralized Resource Allocation for Connecting Radial and Nonradial Models

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
A. Mirsalehy ◽  
M. R. Abu Bakar ◽  
G. R. Jahanshahloo ◽  
F. Hosseinzadeh Lotfi ◽  
L. S. Lee

This paper examines an alternative approach to the centralized resource allocation model that indicates that all the units are under the control of an entity of the centralized decision maker. The proposed approach is a technique for connecting the two basic Radial CRA-BCC and Nonradial CRA-SBM models in an integrated structure called connected CRA-SBM. In the proposed model, exchanging the two parameter amounts can change the location of the analysis between the CRA-BCC and the CRA-SBM models and deal with the weaknesses inherent in such models. By remedying all the weaknesses in one model, the entire units are simply projected on the frontier line and one can obtain suitable benchmarks for each of them. In the offered model, all of the inputs and outputs, respectively, decrease and increase simultaneously. Lastly, numerical examples emphasize the significance of the offered method.

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Yanyan Wang ◽  
Baiqing Sun

Efficiency and fairness are two important goals of disaster rescue. However, the existing models usually unilaterally consider the efficiency or fairness of resource allocation. Based on this, a multiobjective emergency resource allocation model that can balance efficiency and fairness is proposed. The object of the proposed model is to minimize the total allocating costs of resources and the total losses caused by insufficient resources. Then the particle swarm optimization is applied to solve the model. Finally, a computational example is conducted based on the emergency relief resource allocation after Ya’an earthquake in China to verify the applicability of the proposed model.


1970 ◽  
Vol 24 (6) ◽  
pp. 505-513 ◽  
Author(s):  
Afshin Shariat Mohaymany ◽  
Shideh Ehteshamrad ◽  
Mohsen Babaei

This paper is concerned with the development of a resource allocation model for road networks under supply uncertainty caused by natural disasters. An optimization model is proposed to determine which links should be invested for the system to perform better while encountering natural disasters such as earthquake. The connectivity reliability and travel time reliability of origin-destinations (ODs) are selected as performance measures to do so. The Monte-Carlo simulation method is used to estimate the reliability measures and the model is solved by the genetic algorithm. The proposed model is implemented on a test network to demonstrate the results.


2013 ◽  
Author(s):  
Susmita Dasgupta ◽  
Dan Hammer ◽  
Robin Kraft ◽  
David Wheeler

2019 ◽  
Vol 12 (1) ◽  
pp. 104-113
Author(s):  
Anju Shukla ◽  
◽  
Shishir Kumar ◽  
Harikesh Singh ◽  
◽  
...  

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