Research on Petrol Secondary Distribution with Stochastic Demand
Science Journal of Energy Engineering
Volume 4, Issue 4, August 2016, Pages: 30-34
Received: Oct. 10, 2016;
Accepted: Oct. 20, 2016;
Published: Nov. 14, 2016
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Pan Cen, Information Institute, Beijing Wuzi University, Beijing, China
Can Cong, Information Institute, Beijing Wuzi University, Beijing, China
Zhenping Li, Information Institute, Beijing Wuzi University, Beijing, China
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Petrol is a kind of strategic natural resources. Providing legitimate transportation plans for the petrol secondary distribution is the key links to guarantee the petrol normal sales. The aim of this paper mainly is to obtain a distribution plan to meet certain level of service considering stochastic demand circumstances. Factors including the sales volume, the initial inventory, different type vehicles and capacity limitation constraints are considered. Firstly, a mathematical model for minimizing the total cost of petrol secondary distribution is built on the premise of considering various factors. Then a hybrid algorithm is designed by combining the greedy algorithm and the saving algorithm. The greedy algorithm is used to find a local optimal solution, and the saving algorithm is used to adjust the solution. Finally, the hybrid algorithm is used to solve a specific cases, which verifying the feasibility of the algorithm.
Petrol Secondary Distribution, Mathematical Model, The Greedy Algorithm, The Saving Algorithm
To cite this article
Research on Petrol Secondary Distribution with Stochastic Demand, Science Journal of Energy Engineering.
Vol. 4, No. 4,
2016, pp. 30-34.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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