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contributor authorShuchang He
contributor authorHongbin Xie
contributor authorYinwei Feng
date accessioned2024-12-24T10:19:55Z
date available2024-12-24T10:19:55Z
date copyright12/1/2024 12:00:00 AM
date issued2024
identifier otherAJRUA6.RUENG-1354.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298723
description abstractTo address the ship allocation issues within container liner routes in the context of enhancing energy efficiency and reducing carbon emissions in ship operations, we formulated a dual-objective mixed-integer nonlinear planning model. The model aims to minimize both the operating cost and the Energy Efficiency Operational Indicator (EEOI) of the container liner fleet. The decision-making variables in the model include ship allocation and ship speed. The solution of the model is obtained using the improved Non-Dominated Sorting Genetic Algorithm II (NSGA-II), which leads to the derivation of an optimal ship allocation issues. We selected three routes for one company for illustrative analysis and performed sensitivity analyses on oil prices and carbon tax rates to validate the model and algorithm. The research findings have the potential to assist shipping companies in achieving energy savings and operational cost reductions.
publisherAmerican Society of Civil Engineers
titleThe Optimization of Fleet Deployment for Container Liner Shipping under the Carbon Tax and Energy Efficiency Operation Indicator
typeJournal Article
journal volume10
journal issue4
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.RUENG-1354
journal fristpage04024056-1
journal lastpage04024056-11
page11
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 004
contenttypeFulltext


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