Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability
The near-sea off-shore oil extraction and transportation system use heterogeneous fleets to transfer crude oil from the floating production storage and offloading to the land-based oil storage port. Based on the characteristics of this system, the short sea inventory routing problem is investigated...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9233367/ |
| _version_ | 1818853561007603712 |
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| author | Ang Yang Rumeng Wang Yuhui Sun Kang Chen Zigen Chen |
| author_facet | Ang Yang Rumeng Wang Yuhui Sun Kang Chen Zigen Chen |
| author_sort | Ang Yang |
| collection | DOAJ |
| description | The near-sea off-shore oil extraction and transportation system use heterogeneous fleets to transfer crude oil from the floating production storage and offloading to the land-based oil storage port. Based on the characteristics of this system, the short sea inventory routing problem is investigated considering the shuttle tanker fleet and inventory management. In order to minimize the total operation cost and maximize the system reliability, a semi-continuous model for the shuttle tanker scheduling problem is established. The model optimizes the tanker scheduling plan and the design of the tanker fleet. To solve the complex model, this article proposes an improved non-dominated sorting genetic algorithm with differential evolution operator to solve the optimization of the multi-objective model. This research also uses public vessel operation data to test the modeling and optimizing efficiency. The Pareto Fronts associated with the total operation cost and the system reliability from the optimization outcome is analyzed to provide scheduling priority advice. The results indicate that proposed optimization algorithms are effective, and the operation could be optimized with the proposed model and algorithm. |
| first_indexed | 2024-12-19T07:38:46Z |
| format | Article |
| id | doaj.art-b90eaddb8de2475fb9ba890261cc051a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:38:46Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b90eaddb8de2475fb9ba890261cc051a2022-12-21T20:30:32ZengIEEEIEEE Access2169-35362020-01-01819393519395410.1109/ACCESS.2020.30325569233367Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System ReliabilityAng Yang0Rumeng Wang1Yuhui Sun2https://orcid.org/0000-0001-7750-6833Kang Chen3Zigen Chen4School of Maritime Economics and Management, Dalian Maritime University, Dalian, ChinaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian, ChinaUniSA STEM, University of South Australia, Adelaide, SA, AustraliaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian, ChinaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian, ChinaThe near-sea off-shore oil extraction and transportation system use heterogeneous fleets to transfer crude oil from the floating production storage and offloading to the land-based oil storage port. Based on the characteristics of this system, the short sea inventory routing problem is investigated considering the shuttle tanker fleet and inventory management. In order to minimize the total operation cost and maximize the system reliability, a semi-continuous model for the shuttle tanker scheduling problem is established. The model optimizes the tanker scheduling plan and the design of the tanker fleet. To solve the complex model, this article proposes an improved non-dominated sorting genetic algorithm with differential evolution operator to solve the optimization of the multi-objective model. This research also uses public vessel operation data to test the modeling and optimizing efficiency. The Pareto Fronts associated with the total operation cost and the system reliability from the optimization outcome is analyzed to provide scheduling priority advice. The results indicate that proposed optimization algorithms are effective, and the operation could be optimized with the proposed model and algorithm.https://ieeexplore.ieee.org/document/9233367/Maritime inventory routing problemnon-dominated sorting genetic algorithm (NSGA-II)off-shore oil transportationsemi-continuous modelshuttle tankersystem reliability |
| spellingShingle | Ang Yang Rumeng Wang Yuhui Sun Kang Chen Zigen Chen Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability IEEE Access Maritime inventory routing problem non-dominated sorting genetic algorithm (NSGA-II) off-shore oil transportation semi-continuous model shuttle tanker system reliability |
| title | Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability |
| title_full | Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability |
| title_fullStr | Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability |
| title_full_unstemmed | Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability |
| title_short | Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability |
| title_sort | coastal shuttle tanker scheduling model considering inventory cost and system reliability |
| topic | Maritime inventory routing problem non-dominated sorting genetic algorithm (NSGA-II) off-shore oil transportation semi-continuous model shuttle tanker system reliability |
| url | https://ieeexplore.ieee.org/document/9233367/ |
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