The Research Of Production And Sale Integration Method Based On The Quasi Linear Programming Model Under The Random Environment

The problem of stochastic programming is a special kind of planning for that the taskarrangement, the vehicle management and the material management are wide attention ofmany fields such as transportation, so it is valuable in many research fields. This papersimply introduces three existing charactetistics and problems of stochastic programmingmodel, then analyzes its basic characteristics. But when the program has large volume ofdatas, and the datas distribution is not clear, at this time the existing stochastic programmodel will not be able to sovei the problem.In this article, it introduces introducedvariance of quasi linear stochastic programming model based on chance constrainedmodel is put forward based on the expectation,expounds the basic characteristics. I willapply this model to enterprise supply, integration of the problem, set up the series ofproblems of quasi linear stochastic programming model, and investigate a practical casestudy the operability of the model. Validation show that the model is good in some ways towin the original model. So the distribution of a random variable is not completely knownstochastic problems, it not only can solve effectively, but also simple to decision-makersof consciousness in the process of solving, improving the autonomy of the mode.In this paper, the most important point is to use quasi linear stochastic programmingmodel to set up the second part of producers three nodes of enterprise supply, integrationin the enterprise, in a random environment problems of model. As the comparison of theoriginal model and quasi-linear stochastic programming model we found that the quasilinear stochastic programming model is good at interpretability, concise and convenient incalculation, at that time it process the data valid and reliable.