Modeling And Solving Of Supply Chain Problem Under Fuzzy Information

In today’s highly competitive environment,more and more companies apply theSupply chain models in the production to reducing costs and meeting customer needs insupply chain management. Supply chain management is a systematic, integrated, agile,advanced enterprise management mode. Many companies have gain good returns. Thesupply chain management difficulty lies in the complexity of the system and theinformation were uncertainty. Supply chain modeling and analysis to solve in order to getuseful information for decision-making is an important part of the management model.First of all, This paper proposed a supply chain planning model integratedprocurement, production and distribution of multi-period, multi-vendor and multi-sellerunder fuzzy parameters of the triangular distribution.Secondly, according to the questions of reducing the total cost and improving thepurchasing volume, first we create a multi-objective mixed integer linear programmingmodel with fuzzy parameters; then add the objective function with fuzzy programmingmethod, the fuzzy parameter model into precise multi-objective mixed integer linearprogramming model, in order to facilitate solving and achieve different multi-objectivecompromise and solutions to facilitate the decision-makers to choose based onpreferences.In order to prove the method feasibility, A numerical experiments wasdesigned to achieve on a different compromise to solve by Lingo and analyzecomparative. Results show that: the time-consuming meet the requirements, There is avery good prospect for Decision-makers to make Scientific planning in supply chain offuzzy information. At the same time, the methods and steps of Lingo has a goodreference for supply chain planning.