Abstract

With the rapid growth of international container transportation and the development trend of large-scale ships, there are deficiencies in ship utilization and transportation economy. More and more liner companies are actively building and optimizing container shipping network to improve service efficiency and reduce unit operating cost. The optimization model of container shipping network is established. Taking the minimum total cost of container shipping network as the objective, considering the constraints of shipping network, the immune algorithm is applied to solve the model, to determine the optimal container transportation network. Finally, two schemes are designed, and the simulation analysis results can select an optimal scheme, and the effectiveness of the proposed method is verified.

Highlights

  • With the development of international shipping industry, the throughput of container is increasing, and the proportion of suitable container cargo is increasing

  • Container transportation has gradually replaced the traditional mode of bulk cargo transportation and become the trend of world transportation development

  • The world's largest producer of container cargo, and large liner companies have been rooted for many years

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Summary

INTRODUCTION

With the development of international shipping industry, the throughput of container is increasing, and the proportion of suitable container cargo is increasing. Considering the limited time of ships in the hub port and the capacity of feeder ships, the feeder transportation routes of container ships are optimized. Considering the uncertainty of cargo's time in port and taking the transportation time limit as the main constraint, the container liner route network is optimized. Considering the cost of carbon emissions, the hub and spoke transportation network of the port is optimized to solve the optimal traffic volume and capacity allocation. Considering the congestion of container port, the optimization model of hub and spoke shipping network is established to determine the reasonable hub port selection scheme [5]. An immune algorithm-based container shipping model is proposed to simultaneously optimize the container transportation path, empty container allocation scheme, container ship service frequency and ship type configuration of port container shipping network

CONTAINER NETWORK MODEL
MODEL BASED ALGORITHM
CASE STUDY
Findings
CONCLUSIONS
Full Text
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