A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption

A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption

This paper focuses on a reliable design of oil products supply chain system, which is conductive to promote the sales of oil products. A multi-scenario MILP (Mixed Integer Linear Programming) model coupled with Monte Carlo sampling is employed for optimizing the supply chain system with considering...

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Bibliographic Details
Main Authors: Wan Zhang, Zhengbing Li, Qi Liao, Haoran Zhang, Bohong Wang, Shuzhe Huang, Ning Xu, Yongtu Liang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Oil products supply chain system
reliable deign
multiple transportation modes
stochastic hub disruption
demand uncertainty
Monte Carlo sampling
Online Access:https://ieeexplore.ieee.org/document/8819937/

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