Stochastic Programming Model Of Container Shipping Route Was Scheduled

This thesis, in view of the economical rationalization in transportation management, lays special stress on the problem of optimizing liner routing deployment under indefinite conditions. Through analyzing the characteristics of liner routing management of the shipping companies, the writer firstly proposes an optimal model in a definite condition, then discusses in detail the various indefinite elements in the management of shipping companies. Based on these, the stochastic programming model including stochastic constrains is established and a certain best decision is made. It is a superficial attempt to apply the fundamentals of stochastic programming to the practices of liner routing deployment. The paper includes the following five sections: Section One is the introduction to the problem to be discussed and the present research achievements in the field. Section Two analyzes the features of the routing of container lines, the characteristics of the liner routing, its related elements, and the key points influencing the practices of optimizing routing. Section Three is the optimal mode in a definite condition, that is, suppose the market situation keep stable, the fixed integer programming mode of routing deployment is proposed. Besides, this section analyzes the situations affecting the final decision. Section Four puts forward the stochastic programming mode in indefinite conditions: analyzing the stochastic features in the shipping system and the indefinite situations in optimizing liner routing deployment, introducing the concept of stochastic programming model with considerably reliability. Finally, on the basis of the practical calculating example, through the contrastive study of the two decisions derived from the two models, the following result can be achieved: The decision from the stochastic programming model in changeable situations is more effective and profitable than the decision made in stable optimal model. The former method proposed by the writer is helpful in the practices of avoiding risks effectively in management and making more profits.