Modeling And Optimization Of Cost And Revenue For Supply Chain Under The Constraint Of Carbon Tax

With the expansion of business globalization and the continuous development of logistics technology,consumers' demand for personalized,fast-paced products has continued to increase.Product demand cycles have gradually shortened,and cooperation between up-streams and down-streams supply chains has become more prominent.Supply chain as a orgainic whole,it is worth considering how to improve revenue and reduce costs under the condition of meeting consumers demands.Supply chain optimization refers to finding the most suitable decision-making scheme to coordinate the supply chain through a systematic method under limited resources or conditions,combining suppliers,logistic partners,distributors,customers,and information systems into an organic whole to fulfill customer requests.This making the operation of the supply chain more coordinated and smooth.This article is based on a three-tier supply chain consisting of suppliers-transit stations-distributors.Considering the carbon tax constraints,from the perspective of the entire supply chain,the total cost of the supply chain and the total revenue are simultaneously set as targets.The main content is as follows:(1)Construct a forward supply chain network consisting of suppliers-transit stations-distributors,consider imposing carbon taxes on the supply chain's production,transportation,and transshipment links,establish a two-objective optimization model,by following the structure of the established dual-objective model characteristics.The constraint method commonly used to solve multi-objective programming problems is improved.(2)According to the development trend of supply chain,take product recycling into consideration,add the reverse process to the supply chain network,making supply chain network a whole closed loope.Establish a closed circle of supply chain network,consisting of suppliers-transfer stations-distributors-recycling centers-suppliers.Based on the objective of lowest costs and highest revenue,establish related mixed integer programming model.The improved constraint method is used to solve the problem.(3)The supply chain network are affected by a variety of.uncertain factors,of which the uncertainty of new product demand and the uncertainty of the old product recycling quantity are the two factors that have a greater impact on costs and revenue in the supply chain.So based on the closed loop supply chain optimization network under the constraint of carbon tax,consider the two factors above,and individually establish the cost and revenue optimization model of closed loop supply chain with uncertain quantity.In this paper,numerical experiments are performed for each model established.Tests have analyzed the correction of established model,the effectiveness of the improved constraint method for solving the design of the double objective optimization model,the applicability of the demand uncertainty model and the rationality of the carbon tax and its cost measurement.Numerical experimental results show that,whether in a forward supply chain or a closed-loop supply chain,a reasonable carbon tax can effectively reduce transportation costs in the logistics process.Under pressure of carbon tax,companies can choose to replace more environmentally friendly transit equipment.Similarly,under these conditions,closed-loop supply chains have higher returns than pure forward supply chains.An increase in carbon taxes can reduce the negative impact of uncertain product demand on earnings.A series of research results aims to provide effective design guidance for relevant companies and departments to construct supply chain decision-making strategies,provide reliable decision-making solutions for forward management operations of enterprises,and then provide a reasonable scientific basis for government departments to formulate carbon taxes.