Liner shipping network design with emission control areas: A genetic algorithm-based approach

Cariou, Pierre; Cheaitou, Ali; Larbi, Rim; Hamdan, Sadeque

doi:10.1016/j.trd.2018.06.020

Cited by 44 publications

(17 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lee et al [13] introduced the MOPSO algorithm to minimize the fuel cost and maximize the service level and obtained the Pareto optimal solution. Cariou et al [28] developed a heuristic approach based on a genetic algorithm (GA) and then solved the problem of large-scale combinatory optimization of speed, route, and cargo flow. Gkerekos et al [14] modified Dijkstra's shortest path algorithm through heuristics fittings and applied the algorithm recursively until finding the optimal route.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Here, the fuel costs of the two routes were estimated based on two different fuel prices: P fuel � 365.5 USD/ton (the fuel price in March 20, 2019) and P fuel � 190.6 USD/ton (the fuel price in December 27, 2019). e berthing fuel consumption per hour is set as k � 5.2 ton/hour [28]. e detour will increase the total voyage time, incurring more charter cost, and the charter rate is affected indirectly by the fuel price.…”

Section: Data Selection and Preparationmentioning

confidence: 99%

See 1 more Smart Citation

Multiobjective Route Selection Based on LASSO Regression: When Will the Suez Canal Lose Its Importance?

Zhou

Zhao

Liang

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With coronavirus disease 2019 reshaping the global shipping market, many ships in the Europe-Asia trades that need to sail through the Suez Canal begun to detour via the much longer route, the Cape of Good Hope. In order to explain and predict the route choice, this paper employs the least absolute shrinkage and selection operator regression to estimate fuel consumption based on the automatic identification system and ocean dataset and designed a multiobjective particle swarm optimization to find Pareto optimal solutions that minimize the total voyage cost and total voyage time. After that, the weighted sum method was introduced to deal with the route selection. Finally, a case study was conducted on the real data from CMA CGM, a leading worldwide shipping company, and four scenarios of fuel prices and charter rates were built and analyzed. The results show that the detour around the Cape of Good Hope is preferred only in the scenario of low fuel price and low charter. In addition, the paper suggests that the authority of Suez Canal should cut down the canal toll according to our result to win back the ships because we have verified that offering a discount on the canal roll is effective.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Data Selection and Preparationmentioning

confidence: 99%

Multiobjective Route Selection Based on LASSO Regression: When Will the Suez Canal Lose Its Importance?

Zhou

Zhao

Liang

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Otherwise, a new population is generated. It is worth noting that these genetic operators are based on the ones presented in Cariou et al (2018) and Cheaitou et al (2020). Select randomly number of ports to be included in the service.…”

Section: Begin Algorithm Generatepopulationmentioning

confidence: 99%

“…Moreover, this approach uses an approximation scheme that discretizes time into steps of one-day which leads the ship to sale a multiple number of days and spend one day at any visited port. Moreover, the work of Cariou et al (2018) propose a multi-commodity pickup and delivery arc-flow formulation for the liner shipping problem with speed optimization. However, the authors propose a bi-objective framework in which they investigate the trade-off between profit and CO 2 emissions and do not consider the sensitivity of the transport demands to the sailing speed.…”

Section: Introductionmentioning

confidence: 99%

Liner shipping network design with sensitive demand

Cheaitou

Hamdan

Larbi

2021

MABR

Self Cite

View full text Add to dashboard Cite

Purpose This paper aims to examine containership routing and speed optimization for maritime liner services. It focuses on a realistic case in which the transport demand, and consequently the collected revenue from the visited ports depend on the sailing speed. Design/methodology/approach The authors present an integer non-linear programming model for the containership routing and fleet sizing problem, in which the sailing speed of every leg, the ports to be included in the service and their sequence are optimized based on the net line's profit. The authors present a heuristic approach that is based on speed discretization and a genetic algorithm to solve the problem for large size instances. They present an application on a line provided by COSCO in 2017 between Asia and Europe. Findings The numerical results show that the proposed heuristic approach provides good quality solutions after a reasonable computation time. In addition, the demand sensitivity has a great impact on the selected route and therefore the profit function. Moreover, the more the demand is sensitive to the sailing speed, the higher the sailing speed value. Research limitations/implications The vessel carrying capacity is not considered in an explicit way. Originality/value This paper focuses on an important aspect in liner shipping, i.e. demand sensitivity to sailing speed. It brings a novel approach that is important in a context in which sailing speed strategies and market volatility are to be considered together in network design. This perspective has not been addressed previously.

show abstract

“…Sys et al [22] examine both the potential effects of the emerging international maritime emission regulations on the competition between seaports, and the potential underlying economic motivations fostering the discussion of introducing Emission Control Areas. Cariou et al [23] propose a mixed integer linear programming (MILP) model based on a multi-commodity pickup and delivery arc-flow formulation.…”

Section: Literature Reviewmentioning

confidence: 99%

Tacit Collusion of Pricing Strategy Game between Regional Ports: The Case of Yangtze River Economic Belt

Dong

Zhong

2019

Sustainability

View full text Add to dashboard Cite

We develop a game model to analyze the tacit collusion between regional ports under three different scenarios. In the first scenario, there is simultaneous pricing game between regional ports; this intends to depict pricing strategy adopted independently. In the second, we consider two competing ports that make sequential pricing decisions. Thirdly, an infinitely repeated game model is then formulated for regional ports to test the stability of Nash equilibrium. Our main finding is that there is a certain degree of tacit collusion of pricing strategy between regional ports in the competitive environment; in particular, the tacit collusion of pricing strategy will gradually stabilize with the increasing number regional ports games. A case study of Yangtze River Economic Belt is provided to illustrate the results.

show abstract

Liner shipping network design with emission control areas: A genetic algorithm-based approach

Cited by 44 publications

References 38 publications

Multiobjective Route Selection Based on LASSO Regression: When Will the Suez Canal Lose Its Importance?

Multiobjective Route Selection Based on LASSO Regression: When Will the Suez Canal Lose Its Importance?

Liner shipping network design with sensitive demand

Tacit Collusion of Pricing Strategy Game between Regional Ports: The Case of Yangtze River Economic Belt

Contact Info

Product

Resources

About