This paper presents solution approaches for the multi-period multi-compartment Vehicle Routing Problem in fuel delivery. Multi-compartment vehicles are used for fuel distribution from one depot to a set of petrol stations that have deterministic fuel consumption of each hour. Due to the highly complicated assignment compartments of the same vehicle to petrol stations in full load distribution scheduling problem, a heuristic method will be adopted to solve this problem. By means of a case study, the heuristic developed is shown to be very effective in solving such comprehensive full load distribution scheduling problem for refined oil, and the results obtained are promising.
Published in | Science Journal of Applied Mathematics and Statistics (Volume 4, Issue 5) |
DOI | 10.11648/j.sjams.20160405.11 |
Page(s) | 183-188 |
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 |
Vehicle Routing Problem, Full-Load, Multi-period Delivery, Heuristics Algorithm
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APA Style
Xiaocun Mao, Xinxin Zhang, Zhenping Li. (2016). Full Load Distribution Scheduling Problem for Refined Oil. Science Journal of Applied Mathematics and Statistics, 4(5), 183-188. https://doi.org/10.11648/j.sjams.20160405.11
ACS Style
Xiaocun Mao; Xinxin Zhang; Zhenping Li. Full Load Distribution Scheduling Problem for Refined Oil. Sci. J. Appl. Math. Stat. 2016, 4(5), 183-188. doi: 10.11648/j.sjams.20160405.11
AMA Style
Xiaocun Mao, Xinxin Zhang, Zhenping Li. Full Load Distribution Scheduling Problem for Refined Oil. Sci J Appl Math Stat. 2016;4(5):183-188. doi: 10.11648/j.sjams.20160405.11
@article{10.11648/j.sjams.20160405.11, author = {Xiaocun Mao and Xinxin Zhang and Zhenping Li}, title = {Full Load Distribution Scheduling Problem for Refined Oil}, journal = {Science Journal of Applied Mathematics and Statistics}, volume = {4}, number = {5}, pages = {183-188}, doi = {10.11648/j.sjams.20160405.11}, url = {https://doi.org/10.11648/j.sjams.20160405.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20160405.11}, abstract = {This paper presents solution approaches for the multi-period multi-compartment Vehicle Routing Problem in fuel delivery. Multi-compartment vehicles are used for fuel distribution from one depot to a set of petrol stations that have deterministic fuel consumption of each hour. Due to the highly complicated assignment compartments of the same vehicle to petrol stations in full load distribution scheduling problem, a heuristic method will be adopted to solve this problem. By means of a case study, the heuristic developed is shown to be very effective in solving such comprehensive full load distribution scheduling problem for refined oil, and the results obtained are promising.}, year = {2016} }
TY - JOUR T1 - Full Load Distribution Scheduling Problem for Refined Oil AU - Xiaocun Mao AU - Xinxin Zhang AU - Zhenping Li Y1 - 2016/08/25 PY - 2016 N1 - https://doi.org/10.11648/j.sjams.20160405.11 DO - 10.11648/j.sjams.20160405.11 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 183 EP - 188 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20160405.11 AB - This paper presents solution approaches for the multi-period multi-compartment Vehicle Routing Problem in fuel delivery. Multi-compartment vehicles are used for fuel distribution from one depot to a set of petrol stations that have deterministic fuel consumption of each hour. Due to the highly complicated assignment compartments of the same vehicle to petrol stations in full load distribution scheduling problem, a heuristic method will be adopted to solve this problem. By means of a case study, the heuristic developed is shown to be very effective in solving such comprehensive full load distribution scheduling problem for refined oil, and the results obtained are promising. VL - 4 IS - 5 ER -