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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8819937/ |
| _version_ | 1818412654471938048 |
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| author | Wan Zhang Zhengbing Li Qi Liao Haoran Zhang Bohong Wang Shuzhe Huang Ning Xu Yongtu Liang |
| author_facet | Wan Zhang Zhengbing Li Qi Liao Haoran Zhang Bohong Wang Shuzhe Huang Ning Xu Yongtu Liang |
| author_sort | Wan Zhang |
| collection | DOAJ |
| description | 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 the transportation process of oil products, the stochastic hub disruption and the demand uncertainty. A real-world case is presented to illustrate the accuracy, applicability and efficiency of the proposed model. High-quality solutions are obtained successfully under deterministic conditions as well as uncertain conditions. Then, the effect of uncertainties on the supply chain system design is also analyzed. Finally, the results demonstrate that the stability and flexibility of the designed supply chain system could be substantially improved with less extra costs. |
| first_indexed | 2024-12-14T10:50:45Z |
| format | Article |
| id | doaj.art-e7db447449434afa8d8f01d5aea47330 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:50:45Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e7db447449434afa8d8f01d5aea473302022-12-21T23:05:15ZengIEEEIEEE Access2169-35362019-01-01712432912434010.1109/ACCESS.2019.29383268819937A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub DisruptionWan Zhang0Zhengbing Li1Qi Liao2https://orcid.org/0000-0003-3209-9992Haoran Zhang3https://orcid.org/0000-0002-4641-0641Bohong Wang4Shuzhe Huang5Ning Xu6Yongtu Liang7Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing, ChinaBeijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing, ChinaBeijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing, ChinaCenter for Spatial Information Science, The University of Tokyo, Kashiwa, JapanBeijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing, ChinaCenter for Spatial Information Science, The University of Tokyo, Kashiwa, JapanBeijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing, ChinaBeijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing, ChinaThis 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 the transportation process of oil products, the stochastic hub disruption and the demand uncertainty. A real-world case is presented to illustrate the accuracy, applicability and efficiency of the proposed model. High-quality solutions are obtained successfully under deterministic conditions as well as uncertain conditions. Then, the effect of uncertainties on the supply chain system design is also analyzed. Finally, the results demonstrate that the stability and flexibility of the designed supply chain system could be substantially improved with less extra costs.https://ieeexplore.ieee.org/document/8819937/Oil products supply chain systemreliable deignmultiple transportation modesstochastic hub disruptiondemand uncertaintyMonte Carlo sampling |
| spellingShingle | Wan Zhang Zhengbing Li Qi Liao Haoran Zhang Bohong Wang Shuzhe Huang Ning Xu Yongtu Liang A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption IEEE Access Oil products supply chain system reliable deign multiple transportation modes stochastic hub disruption demand uncertainty Monte Carlo sampling |
| title | A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption |
| title_full | A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption |
| title_fullStr | A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption |
| title_full_unstemmed | A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption |
| title_short | A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption |
| title_sort | stochastic linear programming method for the reliable oil products supply chain system with hub disruption |
| topic | Oil products supply chain system reliable deign multiple transportation modes stochastic hub disruption demand uncertainty Monte Carlo sampling |
| url | https://ieeexplore.ieee.org/document/8819937/ |
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