A multiple ship routing and speed optimization problem under time, cost and environmental objectives

Wen, Min; Pacino, Dario; Kontovas, Christos A.; Psaraftis, Harilaos N.

doi:10.1016/j.trd.2017.03.009

Cited by 117 publications

(59 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As stated earlier, the sailing speed is a key decision variable in the expressions of fuel consumption, SO x emissions, and delivery delay. Many scholars have examined the sailing speed and its impacts on various factors, including but not limited to Wang et al [17], Wen et al [18]. More recently, Psara is and Kontovas [8] summed up the existing sailing speed optimization models, most of which take the sailing speed as an input to the decision-making problem [19,20].…”

Section: Literature Reviewmentioning

confidence: 99%

Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism

Zhao

Zhou

Yu-jun

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

This paper analyses loss aversion mechanism (LAM) of the shipping company’s decision-makers about the risk-based decision (RBD) for slow steaming and generalizes a novel optimization model for the sailing speed through the trade-off between fuel consumption, SOx emissions and delivery delay. The value functions against the benchmark speed were constructed based on physiological expected utility (PEU) to reveal the features of loss aversion, and the objective function was derived from these value functions with the aim to optimize the sailing speed. After that, a Genetic Algorithm (GA) solution with fitness function and special operators was built to solve the proposed model. Finally, the model was applied to pinpoint the PEU for the optimal sailing speed against the benchmark speed, and the sensitivity of the model was discussed with different benchmark speeds, value function weights and input parameters. The analysis shows that the proposed model can assist the slow steaming RBD based on the inner feelings of the shipping company’s decision-makers, offering a novel tool for sailing speed optimization.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism

Zhao

Zhou

Yu-jun

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…It was anticipated that as a consequence of SECA regulations, ship operators may reduce the sailing speed to compensate for the extensive cost caused by SECA compliance as noted by Zis and Psaraftis [16]. In order to analyze the impact of slow steaming on the carrier's and the shipper's costs, Mallidis, et al [30] developed continuous-time analytical models. Further, Wen, et al [31] presented a speed optimization algorithm that can be applied by shipowners to optimize the vessel´s fuel consumption.…”

Section: Slow Steamingmentioning

confidence: 99%

“…In order to analyze the impact of slow steaming on the carrier's and the shipper's costs, Mallidis, et al [29] developed continuous-time analytical models. Further, Wen, et al [30] presented a speed optimization algorithm that can be applied by shipowners to optimize the vessel's fuel consumption. Studies by Johnson and Styhre [31] and Zis and Psaraftis [16] suggested that reduced waiting time in port could support slow steaming and mitigate the additional cost effects of SECA for dry bulk shipping in the North and Baltic Seas.…”

Section: Slow Steamingmentioning

confidence: 99%

Slow Steaming as Part of SECA Compliance Strategies among RoRo and RoPax Shipping Companies

2019

View full text Add to dashboard Cite

Many geographically peripheral member states of the EU are critically dependent on short sea Roll-on/Roll-off (RoRo) and mixed freight–passenger (RoPax) shipping services for intra-European trade. The implementation of the Sulfur Emission Control Area (SECA) regulation was expected to raise the operating cost for RoRo and RoPax shipping, and slow steaming was proposed as an immediate solution to save the increased cost. Previous research has investigated the issue of slow steaming and SECA using a quantitative approach. However, the reaction of the RoRo and RoPax shipping firms toward slow steaming as a mitigating factor in the face of expected additional SECA compliance costs using qualitative methodology has not been explored yet. In addition, the knowledge regarding the impact of slow steaming on the competitiveness of short sea RoRo and RoPax with respect to service quality is limited. This article has addressed these issues through the analysis of multiple cases focusing on RoRo and RoPax firms operating in the North and Baltic Seas. Overall, our findings suggest that the 0.1% SECA regulation of 2015 requiring the use of higher-priced MGO has not caused slow steaming in the RoRo and RoPax segments to a large extent. The increased bunker prices are partially transferred to the customers via increased Bunker Adjustment Factor and partly borne by the shipowners. We have found that out of 11 case firms in our study only one RoRo and one RoPax firm have reduced vessel speeds to compensate for the additional SECA compliance costs. We conclude that for RoPax and RoRo segment bunker prices, rigorous competition and, most important, different service quality requirements have significantly restricted the potential implementation of slow steaming.

show abstract

“…Kim, et al [37] set carbon taxation as a constraint of the fuel-cost minimization model. Wen, et al [38] proposed a cost minimizing model and an alternative, single-objective optimization model, including minimizing trip duration and minimizing emissions.…”

Section: Sustainable Operation Objectivesmentioning

confidence: 99%

Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas

et al. 2019

View full text Add to dashboard Cite

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 shipping, investigates the speed and route principles, and determines the best tradeoff between profit and carbon emissions. It is found that vessel speed should be set between emissions-optimum speed and profit-optimum speed, and the route must be selected in light of the speed decision. Next, the optimal choices of speed and route were examined under different scenarios and vessel types. The results show that the operation measures and objectives depend greatly on fuel price, vessel load, and vessel parameters. The operator should speed up the vessel if he/she wants to make more profit or if the scenario is favorable for profit making; e.g., low fuel price and high vessel load (LFHL). Large vessels should pursue more profit under LFHL conditions, without having to sail further outside the ECA. But this rule does not apply to small vessels. In addition, the operator should slow down the vessel inside the ECA and sail further, outside the ECA, with the growth in the price spread between marine gas oil (MGO) and heavy fuel oil (HFO), especially at a low HFO price. The research findings help operators to design operational measures that best suit the limit on sulfur content in fuel and the situation of the shipping market.

show abstract

A multiple ship routing and speed optimization problem under time, cost and environmental objectives

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 117 publications

References 26 publications

Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism

Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism

Slow Steaming as Part of SECA Compliance Strategies among RoRo and RoPax Shipping Companies

Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas

Contact Info

Product

Resources

About