Research on Petrol Secondary Distribution with Stochastic Demand

Pan Cen; Can Cong; Zhenping Li

doi:doi:10.11648/j.sjee.20160404.11

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Research on Petrol Secondary Distribution with Stochastic Demand

Pan Cen, Can Cong, Zhenping Li

Published in Science Journal of Energy Engineering (Volume 4, Issue 4)

Received: 10 October 2016 Accepted: 20 October 2016 Published: 14 November 2016

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Abstract

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.

Published in	Science Journal of Energy Engineering (Volume 4, Issue 4)
DOI	10.11648/j.sjee.20160404.11
Page(s)	30-34
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Petrol Secondary Distribution, Mathematical Model, The Greedy Algorithm, The Saving Algorithm

References

[1]	Li Z., Jiang C. (2015) Study on the Transportation Problem of Petrol Secondary Distribution with Considering Shortage Cost. Open Journal of Modelling and Simulation, 4: 34-40.
[2]	Li Q. Li S.(2008) A Novel Logistic Distribution Model of Refined Oil Based on Vendor or Managed Inventory. Journal of China University of Petroleum.
[3]	Xu H. (2008) Research on The Optimization of Oil Field Transportation Vehicle Scheduling Based on Genetic Algorithm.
[4]	Cong J. (2009) Research and Implementation of Oil Logistics Optimization. Xi'an University of Technology.
[5]	Ma Y. (2010) Dispatching Optimization Model of Second Distribution of Gasolin & Diesel Oil and Solution Based on Genetic Algorithm. Operations Research and Management Science, 19(06): 73-78.
[6]	Bard J. F., Nananukul N. (2010) A Branch and Price Algorithm for An Integrated Producation and Dinventory Routing Problem [J]. Computers & Operations Research, 37(22):02-17.
[7]	Dong W., Young H., Tae Y., Mitsuo G. (2014) An adaptive genetic algorithm for the time dependent inventoryrouting problem [J], Journal of Intelligent Manufacturing, 25:1025–1042.
[8]	Adelman Daniel Adelman. (2004) A Price-Directed Approach to Stochastic Inventory/Routing. Operation Reseach, 52:499-514.
[9]	Mohd Kamarul Irwan Abdul Rahim,. Yi Q. (2014) Modelling and Solving The Multi-period Inventory Routing Problem With Stochastic Stationary Demand Rates [J]. International Journal of Production Research, 52(43)51-63.
[10]	Zhao D. (2012) Research on Inventory Routing Problem With Stochastic Demand. Southwest Jiaotong University, 88-98.
[11]	Qureshi A. G,. Taniguchi E, Yamada T. (2009) An Exact Solution Approach for Vehicle Routing and Scheduling Problem With Soft Time Windows. Transportation Research Part E, 45:960-977.

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APA Style

Pan Cen, Can Cong, Zhenping Li. (2016). Research on Petrol Secondary Distribution with Stochastic Demand. Science Journal of Energy Engineering, 4(4), 30-34. https://doi.org/10.11648/j.sjee.20160404.11

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ACS Style

Pan Cen; Can Cong; Zhenping Li. Research on Petrol Secondary Distribution with Stochastic Demand. Sci. J. Energy Eng. 2016, 4(4), 30-34. doi: 10.11648/j.sjee.20160404.11

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AMA Style

Pan Cen, Can Cong, Zhenping Li. Research on Petrol Secondary Distribution with Stochastic Demand. Sci J Energy Eng. 2016;4(4):30-34. doi: 10.11648/j.sjee.20160404.11

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@article{10.11648/j.sjee.20160404.11,
  author = {Pan Cen and Can Cong and Zhenping Li},
  title = {Research on Petrol Secondary Distribution with Stochastic Demand},
  journal = {Science Journal of Energy Engineering},
  volume = {4},
  number = {4},
  pages = {30-34},
  doi = {10.11648/j.sjee.20160404.11},
  url = {https://doi.org/10.11648/j.sjee.20160404.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20160404.11},
  abstract = {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.},
 year = {2016}
}

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TY  - JOUR
T1  - Research on Petrol Secondary Distribution with Stochastic Demand
AU  - Pan Cen
AU  - Can Cong
AU  - Zhenping Li
Y1  - 2016/11/14
PY  - 2016
N1  - https://doi.org/10.11648/j.sjee.20160404.11
DO  - 10.11648/j.sjee.20160404.11
T2  - Science Journal of Energy Engineering
JF  - Science Journal of Energy Engineering
JO  - Science Journal of Energy Engineering
SP  - 30
EP  - 34
PB  - Science Publishing Group
SN  - 2376-8126
UR  - https://doi.org/10.11648/j.sjee.20160404.11
AB  - 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.
VL  - 4
IS  - 4
ER  -

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Author Information

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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APA Style

Pan Cen, Can Cong, Zhenping Li. (2016). Research on Petrol Secondary Distribution with Stochastic Demand. Science Journal of Energy Engineering, 4(4), 30-34. https://doi.org/10.11648/j.sjee.20160404.11

Copy | Download

ACS Style

Pan Cen; Can Cong; Zhenping Li. Research on Petrol Secondary Distribution with Stochastic Demand. Sci. J. Energy Eng. 2016, 4(4), 30-34. doi: 10.11648/j.sjee.20160404.11

Copy | Download

AMA Style

Pan Cen, Can Cong, Zhenping Li. Research on Petrol Secondary Distribution with Stochastic Demand. Sci J Energy Eng. 2016;4(4):30-34. doi: 10.11648/j.sjee.20160404.11

Copy | Download

@article{10.11648/j.sjee.20160404.11,
  author = {Pan Cen and Can Cong and Zhenping Li},
  title = {Research on Petrol Secondary Distribution with Stochastic Demand},
  journal = {Science Journal of Energy Engineering},
  volume = {4},
  number = {4},
  pages = {30-34},
  doi = {10.11648/j.sjee.20160404.11},
  url = {https://doi.org/10.11648/j.sjee.20160404.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20160404.11},
  abstract = {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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Research on Petrol Secondary Distribution with Stochastic Demand
AU  - Pan Cen
AU  - Can Cong
AU  - Zhenping Li
Y1  - 2016/11/14
PY  - 2016
N1  - https://doi.org/10.11648/j.sjee.20160404.11
DO  - 10.11648/j.sjee.20160404.11
T2  - Science Journal of Energy Engineering
JF  - Science Journal of Energy Engineering
JO  - Science Journal of Energy Engineering
SP  - 30
EP  - 34
PB  - Science Publishing Group
SN  - 2376-8126
UR  - https://doi.org/10.11648/j.sjee.20160404.11
AB  - 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.
VL  - 4
IS  - 4
ER  -

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