Research On The Robust Emission Reduction Operation Strategy Of The Dual-channel Supply Chain Under The Carbon Trading Policy

This paper studies the robust emission reduction operating strategies of dual-channel supply chain in uncertain demand environment.With only the expectation and variance of demand but no the probability distribution of demand,the retailer sells products of the same quality through online and offline channels.Which are the main source of carbon emission.Under the carbon emission reduction policies implemented by the government,the retailer shall formulate a relatively stable operation strategy of emission reduction.Finally,through taguchi method and sensitivity analysis to verify the influence of various system parameters on the robust emission reduction operation strategy of the dual-channel supply chain.The article is arranged as follows:In chapter 1,we first introduce the research background and significance of robust emission reduction operating strategies of dual-channel supply chain under cap-and-trade regulation,then the current status of domestic and foreign research of these strategies,and the main research contents and innovations of this article.In chapter 2,we study the robust jointly pricing and ordering problem of dual-channel supply chain under cap-and-trade regulation.the optimal selling price and emission re-duction percentage of the centralized decision supply chain and the optimal profit value of the supply chain are analyzed,and the influence of limited demand on the dual-channel supply chain is considered.Furthermore,we perform taguchi method and sensitivity analysis on related parameters.In chapter 3,we study the robust emission reduction operating strategies of dual-channel supply chain for emission reduction investment under the cap-and-trade regula-tion,We analyze the optimal selling pricing,ordering quantity and percentage of carbon emission reduction,consider the influence of cap-and-trade regulation on selling pricing,ordering quantity and carbon emission reduction.We process sensitivity analysis of pa-rameters and thus get the reasonable management implications.In chapter 4,we summarize the article and give an outlook of the future study.