Study On Optimization And Application Of Purchasing-Producing-Transportation Of Sustainable Supply Chain Under Uncertainty And Behavioral Factors

<China-U.S.Joint Statement on Climate Change>signed on February 15,2014 pointed out that China would strive to limit greenhouse gas emission.Climate change is a problem worthy of international concern.At the same time,Chinese consumers are more and more demanding of the green degree of the products and workers' working environment.This paper studies the optimization of purchasing-producing-transportati on of sustainable supply chain.Modeled as a multi-objective problem,it balances the three objectives which are economic,environmental and social.This paper also considers CVaR and carbon emissions-sensitive demand to have more theoretical significance and practical significance.The main work of this paper includes the following.Firstly,building an optimization model of purchasing-producing-transportation of sustainable supply chain.It first selects the suitable environmental and social quantitative indexes.Then it balances the economic,environmental and social objectives to get the optimum decision.Secondly,it considers uncertainty.To be specific,it includes supply disruption and demand uncertainty.Monte-Carlo simulation method is applied to embed the uncertain scenarios into optimization model.The result shows that uncertainty influences the profit,production volume,and supplier selection and order allocation.Thirdly,it extends the previous model to include behavioral factors.CVaR is used to avoid extremely bad profit.The demand for the final product is an endogenous variable sensitive to carbon emissions per unit and it is also assumed to increase with a decrease in the per unit carbon emissions of the product.?-constrained method is applied to get Pareto curve and finally it uses a case study to testify its effectiveness and does sensitivity test to some important parameters.