Integrated Optimization Of Sustainable Closed-loop Supply Chain With Behavioral Factor Under Uncertain Environment

In recent years,air pollution,water pollution,solid waste pollution is increasingly serious.In order to reduce the environment pressure,the world has issued a series of important measures such as the china-us joint statement on climate change to achieve the goals of reducing carbon-dioxide.At the same time,as consumers pay more and more attentions to enterprise social responsibility,enterprises begin to pay more attention to the social benefits besides economy benefits.Therefore,the sustainable supply chain is getting more and more attention,and the enterprise gradually enhances the con struction of sustainable supply chain.In order to reduce environmental pressure and make the concept of sustainable development is more deeply rooted in the hearts of the people,some scholars and enterprises start building the reverse logistics to recycle an d reuse the damaged products.By trade-off the reverse supply chain and forward supply chain,the experts forward the concept of closed-loop supply chain.Due to the realistic environment is complicated,the supply chain often faces unce rtainty such as the supply of raw materials or products delay,uncertainty in the proce ss of production and distribution,production capacity and demand.In addition,the closed-loop supply chain also will face the uncertainty of quantity and quality of recyclin g products and so on.People’s behavior factors such as low-carbon preferences and decision makers risk attitude will also affect the sustainable closed-loop supply chain’s decision of integrated optimization problem.To sum up,this article choose sustainable closed-loop supply chain integration optimization problem as the research object,considering consumers’ low-carbon preferences and decision makers’ risk attitude as behavi or factors,using multi-objective optimization method for sustainable closed-loop supply chain integration optimization problem under uncertain environment modeling,to balance economic benefits,social benefits and environmental benefit.The major research work of this paper contains the following aspects:(1)Constructing closed-loop supply chain integration optimization model considering consumers’ low-carbon preference.Considering the uncertainty of ustomer demand,the quality and quantity of recycled products by using the method of fuzzy chance constrained programming,and puts forward the model algorithm based on constraint met hod to make location-production transportation decision problem of multi-objective programming model.(2)Constructing closed-loop supply chain integration optimization model considering consumers’ low-carbon preference and decision maker’s risk attitude.On the basis of the main research work(1),by introducing average-risk model to describe decision makers’ behaviors’ characteristics.Finally through the case analysis and research of uncertainty factors and behavioral factors on the enterprise profit,product impact,such as amount of remanufacturing decisions,to verify the validity of the model,and provide the managers enlightenment significances’ conclusion.