Enterprise Logistics Cost Control Research based on the Optimized Supply Chain

The integrated model of production, supply and sale is put forward for enterprise logistics cost control. Considering the condition of the large number of random variables in a random environment, quasi linear stochastic programming model is put forward as a good way to deal with the above problem. In the inventory and profit problem, production volume, sale volume and transportation cost is random variable, the data quantity is large and distribution is random, but the established quasi linear stochastic programming model can well solve these problems using the expectation and variance. Thus it proves that the quasi linear stochastic programming model can be a good method in the field of enterprise logistics cost control.