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Cited by 371 publications
(137 citation statements)
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References 23 publications
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“…Fagerholt et al (2010) propose a ship speed optimization model that minimizes the fuel consumption in a route, under voyage time window constraints, while Cariou and Cheaitou (2012) determine the optimal ship speed that maximizes the carrier's voyage profitability and minimizes the carrier's voyage CO 2 emissions under the fuel tax and the speed limit policies. Wang and Meng (2012) developed a mixed-integer non-linear programming model in order to determine: (i) the optimal sailing speed of container ships; (ii) the optimal number of ships to deploy in each route of a liner-shipping network; and (iii) the optimal number of containers dispatched on each container route, under voyage cost minimization objectives. Chang and Chang (2013) propose an activity-based model in order to determine the optimal vessel's speed and fleet size which minimizes the carrier's voyage costs and derived voyage CO 2 emissions.…”
Section: Literature Review: a Critical Taxonomymentioning
confidence: 99%
“…Fagerholt et al (2010) propose a ship speed optimization model that minimizes the fuel consumption in a route, under voyage time window constraints, while Cariou and Cheaitou (2012) determine the optimal ship speed that maximizes the carrier's voyage profitability and minimizes the carrier's voyage CO 2 emissions under the fuel tax and the speed limit policies. Wang and Meng (2012) developed a mixed-integer non-linear programming model in order to determine: (i) the optimal sailing speed of container ships; (ii) the optimal number of ships to deploy in each route of a liner-shipping network; and (iii) the optimal number of containers dispatched on each container route, under voyage cost minimization objectives. Chang and Chang (2013) propose an activity-based model in order to determine the optimal vessel's speed and fleet size which minimizes the carrier's voyage costs and derived voyage CO 2 emissions.…”
Section: Literature Review: a Critical Taxonomymentioning
confidence: 99%
“…Robust fuzzy mathematical programming methods are discussed widely as in [46], so we use suggested robust programming method in [49]. The proposed mixed possibilistic-flexible formulation is formulated as follow: …”
Section: Crisp Equivalent Of the Formulationmentioning
confidence: 99%
“…Energy efficiency, and thereby the reduction of emissions per unit of transport work, can be achieved via a number of operational and technical improvements (Faber et al, 2010;Kontovas & Psaraftis, 2011a;Notteboom, 2006;Psaraftis & Kontovas, 2013;Sherbaz & Duan, 2012); slow-steaming is among the most effective and easiest to implement (Corbett et al, 2009;Cariou, 2011;Faber et al, 2012;Lindstad et al, 2011;Meyer et al, 2012;Psaraftis & Kontovas, 2010;Tai & Lin, 2013), and it often comes with a negative CO 2 emission abatement cost. Due to the non-linear correlation between speed and fuel consumption (i.e., the so-called admiralty formula, which estimates a cube function, meaning a 10% speed reduction yields a 27% fuel consumption reduction), even a marginal speed reduction will result in a substantial fuel consumption reduction (Wang & Meng, 2012).…”
Section: Slow-steaming and Its Effects On Logisticsmentioning
confidence: 99%