The Research Of Logistics Distribution Method Under Random Environment

Distribution is the core function of modern logistics and the main channel forbusiness and trading circulation. With the frequently changing of surroundings in our reallife, the environment of supply, demand and transportation are changing as well. All ofthese result in the randomness of the supply, demand and distribution costs during theprocess of logistics distribution. Therefore, how to construct an operable stochasticprogramming method has an important theoretical and practical value. Aiming at theproblem of logistics distribution under stochastic environment, this thesis mainly focuseson:To design a correspondent distribution pattern and make out an optimal distributionscheme according to the material supply and demand. Firstly, three simple, practicalplanning methods—Practices Act, Tabular method and Lingo12.0software programmingare illustrated contraposing the logistics distribution problem decided by supply anddemand,. Then, in view of various parameters for random logistics distribution problems,three different kinds of stochastic programming model, including the expected valuemodel, interval programming model and probability interval decision expected value type,are introduced. Finally, by combining the expected value models and chance constrainedprogramming model and by introducing the reliability through the expectation andvariance towards the objective function and constraint function, the random distributionplanning model is establish based on the reliable coefficient. The theoretical analysis andthe practical calculation show that the stochastic decision model proposed in this paper hasgood structural characteristics and interpretability. It has certain directive significance forbuilding a decision-making method under complex environment and will enrich theexisting theories and methods for stochastic programming.