Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery
Emission reduction ambition in shipping and efforts to provide measures to achieve zero emission in the industry is increasing in parallel to global environmental concerns. Designing container shipping schedules that create minimum emissions can help to achieve the zero-emission target. This study p...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10213987/ |
| _version_ | 1797733227356487680 |
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| author | Ercan Kurtulus |
| author_facet | Ercan Kurtulus |
| author_sort | Ercan Kurtulus |
| collection | DOAJ |
| description | Emission reduction ambition in shipping and efforts to provide measures to achieve zero emission in the industry is increasing in parallel to global environmental concerns. Designing container shipping schedules that create minimum emissions can help to achieve the zero-emission target. This study proposed a comprehensive green container shipping scheduling model considering port and sea passage disruption recovery i.e., speed adjustment, port skipping, and collaboration of carrier and terminal operators because using only speed increase as a disruption recovery measure results in increased emissions. A mixed-integer multi-objective robust programming model was developed and applied to a real-case container line service demonstrating its benefits regarding emissions and operational costs. The results showed that different instances of the model can be solved in a reasonable time by a generic solver. The experimental results demonstrated that the most effective disruption recovery measure in terms of both operational costs and emission tonnages is the time window collaboration. The insights gathered from the application of the model can benefit container lines that are willing to reduce their emissions and can help policymakers provide effective emission reduction policies by taxing emissions and ship fuel. |
| first_indexed | 2024-03-12T12:25:04Z |
| format | Article |
| id | doaj.art-c6d579a201944fd3a1f52a57fadee3b8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T12:25:04Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c6d579a201944fd3a1f52a57fadee3b82023-08-29T23:00:30ZengIEEEIEEE Access2169-35362023-01-0111904779049710.1109/ACCESS.2023.330387210213987Green Container Shipping Schedule Design Considering Collaboration and Disruption RecoveryErcan Kurtulus0https://orcid.org/0000-0003-0585-9319Department of Maritime Business Administration, Sürmene Faculty of Marine Sciences, Karadeniz Technical University, Trabzon, TurkeyEmission reduction ambition in shipping and efforts to provide measures to achieve zero emission in the industry is increasing in parallel to global environmental concerns. Designing container shipping schedules that create minimum emissions can help to achieve the zero-emission target. This study proposed a comprehensive green container shipping scheduling model considering port and sea passage disruption recovery i.e., speed adjustment, port skipping, and collaboration of carrier and terminal operators because using only speed increase as a disruption recovery measure results in increased emissions. A mixed-integer multi-objective robust programming model was developed and applied to a real-case container line service demonstrating its benefits regarding emissions and operational costs. The results showed that different instances of the model can be solved in a reasonable time by a generic solver. The experimental results demonstrated that the most effective disruption recovery measure in terms of both operational costs and emission tonnages is the time window collaboration. The insights gathered from the application of the model can benefit container lines that are willing to reduce their emissions and can help policymakers provide effective emission reduction policies by taxing emissions and ship fuel.https://ieeexplore.ieee.org/document/10213987/Collaborationcontainer shippingdisruption recoveryemissions reductiongreen schedule design |
| spellingShingle | Ercan Kurtulus Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery IEEE Access Collaboration container shipping disruption recovery emissions reduction green schedule design |
| title | Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery |
| title_full | Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery |
| title_fullStr | Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery |
| title_full_unstemmed | Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery |
| title_short | Green Container Shipping Schedule Design Considering Collaboration and Disruption Recovery |
| title_sort | green container shipping schedule design considering collaboration and disruption recovery |
| topic | Collaboration container shipping disruption recovery emissions reduction green schedule design |
| url | https://ieeexplore.ieee.org/document/10213987/ |
| work_keys_str_mv | AT ercankurtulus greencontainershippingscheduledesignconsideringcollaborationanddisruptionrecovery |