2019
DOI: 10.3390/su11226281
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Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas

Abstract: To comply with the regulations of emission control areas (ECAs), most operators have to switch to low-sulfur fuels inside the ECAs. Besides, a low-carbon objective is essential for long-term environmental protection; thus, is regarded as important as making profit. Therefore, the operators start making speed and route decisions under the two objectives of minimizing carbon emissions and maximizing profit. Drawing on existing methods, this paper formulates the profit and carbon emissions in sustainable coastal … Show more

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Cited by 13 publications
(9 citation statements)
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“…It is now recognized that improving sustainability in maritime shipping requires a multi-disciplinary approach [18], and makes it desirable the adoption of multi-objective optimization. The potential of multi-objective optimization to facilitate informed decision making by shipping operators has been investigated in References [95,104] indicating its viability to the modeling and optimization of operational and strategic decisions in sustainable shipping.…”
Section: Management and Logistic Measuresmentioning
confidence: 99%
“…It is now recognized that improving sustainability in maritime shipping requires a multi-disciplinary approach [18], and makes it desirable the adoption of multi-objective optimization. The potential of multi-objective optimization to facilitate informed decision making by shipping operators has been investigated in References [95,104] indicating its viability to the modeling and optimization of operational and strategic decisions in sustainable shipping.…”
Section: Management and Logistic Measuresmentioning
confidence: 99%
“…The proposed method could offer various alternatives to control tower (decision-makers) using the Pareto frontier to make decisions and provide an appropriate transportation plan. Decision-makers can choose one of the Pareto solutions as routes and schedules for each barge based on the Pareto frontier to balance the two conflicting objectives at the same time [46]. The comparison of different bi-objective optimization methods shows that the proposed method can generate a variety of different Pareto solutions than the weighted sum method and the proposed method represents a larger value of the hypervolume indicator than the weighted sum method for all instances: 11.82%, 45.14%, and 35.97%, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…They used speed reduction assumptions of 10%, 20 and 30% compared to business-as-usual scenarios and found that the combination of accelerating the newbuild technical efficiency standards by 5 years and reducing speeds by 30% can lead to the highest probabilities of meeting the IMO's targets for 2050. Zhao et al (2019) examined optimization decisions for speed and route selection in the context of maximizing profits and minimizing carbon emissions for coastal shipping. They found a trade-off between the emissions optimal speed and profit optimal speeds.…”
Section: Mabr 91mentioning
confidence: 99%