An-effective lagrangian relaxation approach for multiple-mode crude oil transportation optimization
Title
An-effective lagrangian relaxation approach for multiple-mode crude oil transportation optimization
Subject
Crude oil
Petroleum
Transportation
Pipelines
Oil tankers
Planning
Noise measurement
Petroleum transportation
Integer programming
Customer satisfaction
Lagrange multipliers
Irrigation
Load modeling
Description
In this paper, an crude oil transportation planning problem for an oil distributor is studied, in which crude oil is transported by tankers and pipelines from an unlimited supply center to a set of customer harbors to satisfy their dynamic demands over multiple periods. In the problem, inventory level and shortage level of crude oil at each customer are limited
both fully loaded and partially loaded tankers are allowed in the transportation of crude oil, and part of the tankers may be rented from a third party. The objective is to determine in each period the schedule of tankers and pipelines and the number of tankers of each type to be rented/returned at the supply center in order to minimize the total logistics cost. After formulating the problem as a mixed integer programming problem, we generalize an existing Lagrangian relaxation approach that only allows fully loaded tanks to one that allows both fully loaded and partially loaded tankers of the problem. Numerical experiments show that the new approach can find a near optimal solution of the problem of large size in a reasonable computation time.
360-366
Publisher
2010 IEEE International Conference on Mechatronics and Automation
Date
2010
Contributor
Q. Shen
F. Chu
H. Chen
Y. Gong
Type
conferencePaper
Identifier
2152-744X
10.1109/ICMA.2010.5588300
Collection
Citation
“An-effective lagrangian relaxation approach for multiple-mode crude oil transportation optimization,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/26117.