Research on feeder network design: a case study of feeder service for the port of Kotka

Lin, Yisong; Wang, Xuefeng Wang; Hu, Hao; Zhao, Hui

doi:10.1186/s12544-020-00450-6

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…However, this methodology cannot address the fleet allocation and speed optimization at the same time. Lin et al [14] developed a multiobjective optimization for the feeder shipping network at Kotka port, considering the cost, income, equipment usage, round-trip time, and competitiveness. Msakni et al [4] analyzed the impact of network structures on operation cost for a real case in Norwegian and European continental ports.…”

Section: Feeder Shipping Network Optimizationmentioning

confidence: 99%

“…This round-trip time is the length of time consumed by a ship to complete its transport task and return to the trunk port. The round-trip time is related to the transshipment process between trunk liner and feeder liner, which is an important constraint of feeder shipping network optimization [14]. The transshipment process is consistent with the practical operation, which can make the calculation results easier to be applied in practice.…”

Section: Planning Of Schedule Designmentioning

confidence: 99%

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Integrated Planning of Feeder Route Selection, Schedule Design, and Fleet Allocation with Multimodal Transport Path Selection Considered

Guo

Zheng

et al. 2023

JMSE

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In the shipping network optimization, the feeder liner companies not only need to decrease the operation cost by comprehensively optimizing the route, schedule, and fleet but also try to increase the operation income by attracting more shippers, with multimodal transport-path selection considered. Therefore, this paper proposes the integrated planning of feeder route selection, schedule design, and fleet allocation with shippers’ transport-path selection considered. We utilize the nested Logit model to analyze the shipper selection behavior for the multimodal transport path and then formulate a mixed-integer nonlinear programming model of integrated optimization for route, schedule, and fleet. To solve our nonlinear model, we propose a particle swarm optimization (PSO) framework embedded with CPLEX solver by combining the constraint relaxations and the linearization techniques with the heuristic rules. Based on the multimodal transport system in Northern China, computational experiments were conducted to verify the effectiveness of our model and algorithm. The sensitivity analyses of model parameters show that with the increase in ship rent, feeder liner companies should reduce the ship capacity or try to increase the number of port call. With the increase in fuel price, feeder liner companies should reduce the ship speed under the constraints of the arrival-time window and schedule interval. If shippers’ time utility coefficient is high, feeder liner companies should shorten the sailing time of ships by decreasing the number of port calls or shorten the at-port time of ships by increasing the service frequency. If the multimodal transport paths are cost-advantaged or if the waterway transport time has a small impact on multimodal transport time, feeder liner companies should weigh the increase in income and cost when using the measures of time saving. These management insights provide decision support for the operation practice of liner shipping network optimization.

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Section: Feeder Shipping Network Optimizationmentioning

confidence: 99%

Section: Planning Of Schedule Designmentioning

confidence: 99%

Integrated Planning of Feeder Route Selection, Schedule Design, and Fleet Allocation with Multimodal Transport Path Selection Considered

Guo

Zheng

et al. 2023

JMSE

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“…In terms of calculating the shipping cost, this paper uses the distance between islands multiplied by the unit freight rate of the ship to calculate the shipping cost [8]. The unit freight rate varies between ship types [16,41]. Thus, the shipping cost model can be stated as follows:…”

Section: Shipping Cost Modelmentioning

confidence: 99%

A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory

Xiao

et al. 2022

Sustainability

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This paper studies a hub-and-spoke shipping network of remote islands and integrates a maritime location inventory routing problem for a remote island shipping network considering emergency inventory. By determining a series of decisions, including the location of the hub islands, number of shipping routes, schedule of every route, travelling mode of every route, ship size, wharf scale, and inventory capacity, the objective of this study is to minimise the total cost of the remote island shipping network over the operating period. Subsequently, a mixed-integer programming model to minimise the total cost of the system is developed. To solve the model, we present a genetic algorithm based on a stepwise configuration module (SC-GA). Finally, instances are proposed to evaluate the performance of the algorithm. The results of the instance calculation show that the algorithm has good applicability and effectiveness in solving the problem in this paper. Through algorithm comparison, it is found that the performance of SC-GA is better than the algorithms in the relevant literature. This paper provides practical information for the design, optimisation and sustainability of remote island shipping networks considering emergency inventory.

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The impact of autonomous ships in regional waterways

Wang,

Zhen

et al. 2023

Transportation Research Part B: Methodological

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Research on feeder network design: a case study of feeder service for the port of Kotka

Cited by 4 publications

References 12 publications

Integrated Planning of Feeder Route Selection, Schedule Design, and Fleet Allocation with Multimodal Transport Path Selection Considered

Integrated Planning of Feeder Route Selection, Schedule Design, and Fleet Allocation with Multimodal Transport Path Selection Considered

A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory

The impact of autonomous ships in regional waterways

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