Research On Optimization Of Vessels And Cargo Matching And Scheduling In Coal Supply Chain

In recent years,coal resources have shown a trend of diversified development in China’s energy structure.With its advantages such as large holdings,mature and reliable,and low prices,it remains the "ballast stone" of China’s energy supply.With the proposal of the dual carbon goal,the coal industry must undergo lean reform in order to develop.Production and transportation operations are transitioning from automation to intelligence,and management models are shifting towards the trend of integrated and coordinated operation of the coal supply chain.Exploring the problem of ship cargo matching and scheduling optimization in the coal supply chain,in order to improve the current situation of high operating costs and low operational efficiency of coal terminals,has become a hot and difficult issue of common concern for coal enterprises and academia.The coal supply chain based on the rail sea intermodal transportation method has the characteristics of a large quantity of coal,a wide variety of coal types,complex facilities and equipment processes,diverse transportation tools,complex transportation networks,and easy mismatch between supply and demand in its logistics operation.Additionally,there are also various loading plans and limited berthing positions,Relying solely on the manual experience of current managers to make decisions to solve the problem of ship cargo matching and scheduling can lead to delayed and conflicting ship cargo scheduling.Based on this phenomenon,this article proposes a scientific and effective method for ship cargo matching and scheduling optimization in the coal supply chain based on rail sea intermodal transportation.The following research work has been mainly carried out.Firstly,analyze the process,influencing factors,and solving principles of ship cargo matching and scheduling problems.A detailed review and analysis have been conducted on the basic structure,workflow,and related facilities and equipment of the coal supply chain,clarifying the relevant influencing factors and constraints in ship cargo matching and scheduling.A data and process based decision-making framework for ship cargo matching and scheduling is proposed from three aspects:data source,data processing,and decision scheme generation.The decision periodicity characteristics of ship cargo matching and scheduling problems and the complexity of problem solving are analyzed;Secondly,construct an optimization model for ship cargo matching and scheduling problems.In order to model complex problems,combined with multiple information data and limitations such as berthing and coal blending rules involved in the coal supply chain,with the goal of minimizing the total time of ships at the port,a mathematical optimization model for ship cargo matching and scheduling was established,and the difficulty of solving the optimization model was analyzed;Once again,an improved genetic algorithm is designed to solve the ship cargo matching and scheduling optimization model.To improve the efficiency of ship cargo matching and scheduling decision-making,an improved genetic algorithm is adopted to solve the problem.This algorithm not only incorporates the concept of simulated annealing,but also makes corresponding improvements in algorithm design and operation,forming an improved genetic algorithm for solving the ship cargo matching and scheduling problem in this paper;Finally,the effectiveness of the model and algorithm in this paper is verified through multiple case studies.Taking the coal terminal of Tianjin Port as the application object,a small-scale problem was generated for case analysis.The precise solution algorithm and the improved genetic algorithm designed in this paper were used to solve the problem,verifying the accuracy and effectiveness of the improved genetic algorithm;A case study was conducted on the generation of large-scale problems during the actual operation decision cycle of coal terminals,and the results obtained by comparing the manual experience used in reality with the ship cargo matching and scheduling optimization method proposed in this article were compared.This proves that the method proposed in this article is feasible and efficient,and can provide effective decision support for managers.