Research On Supply-production-distribution Planning Model With Variable Cycle For Petro-chemical Products Based On DE-PSO Algorithm

There are two challenges in supply chain management, namely global optimization and uncertainty. Effectively coordination between members of the supply chain can successfully solve the two challenges. Supply-production-distribution plan is a powerful tool to achieve supply chain coordination. So it can realize the global optimization under uncertaintyThe traditional supply-production-distribution plan researches neglect the time dimension in supply-production-distribution. They haven't divided activities in supply-production-distri-bution by time dimension. Especially, they suppose that supply-production-distribution cycle is constant. Based on the detailed analysis of the time dimension in supply-production-distribution, this paper mainly researches supply-production-distribution plan under variable cycle, extends it to the uncertain demand condition, and finally applies the theoretical model to the practice of the petrochemical products.Specifically, this paper fulfills the following tasks:(1) Under certain demand circumstance, researching supply-production-distribution planning problem with variable cycle, constructing the planning model, and illustrating that variable cycle is better than constant cycle by numerical example.(2) Under uncertain demand, according to stochastic demand and fuzzy demand, constructing planning model with variable cycle respectively. And illustrating that variable cycle is better than constant cycle by numerical example. What's more, this advantage is more significant under uncertain demand than under certain demand.(3) Developing DE-PSO algorithm to solve the planning models(MINLP) which are constructed in this paper.(4) Applying supply-production-distribution plan model with variable cycle under uncertain demand to supply-production-distribution of Jilin Petrochemical's PE product.The supply-production-distribution planning model with variable cycle based on DE-PSO algorithm research is a useful complement to the supply-production-distribution planning research. The analysis of numerical examples illustrates that the models in this paper are effective, and case study illustrates that the models can guide the supply-production-distribution practice.