The Research On Purchase Modeling And Optimization Strategy Based On Supply Chain

Under market-economy conditions,the economic situation changes rapidly,the competition between enterprises is quite fury and the research of supply chain management is in the ascendant.In order to survive and develop in the fierce competition,enterprises have to seek breakthrough in R&D,marketing,production and purchase,they also have to exploit their potential in supply chain management to reduce business cost and increase enterprises' profit and market competitive strength.Supply chain purchase is the headstream of enterprise's supply chain management.The statistics shows purchase cost in enterprises takes a large proportion,especially in the operation cost of manufacturing industry.Therefore,based on the fundamental principle of supply chain management, according to marketing and product requirement,to draw up right material requirement planning,evaluate and selecte suppliers scientifically and optimize material order decision-making have very important practical significances for enterprises to consummate operation decision,reduce business risks,boost economy benefit and enforece market competitive strength.This paper makes an intensive study of material requirement planning,supplier evaluation and selection and order optimization decision-making.It integrates all these aspects into a whole organic process.On this basis,we apply simulation technology to carry out the analysis,design and implementation of purchase optimization decision support system.The main research works are as follows:(1) Presenting a survey on background and status of relevant research in purchase modeling and optimization strategy based on supply chain.Additional,offering an introduction on the significance,contents,methods and innovations of this research.(2) Making further research in the basic ideology and characteristics of supply chain management,and introducing the conception,development and evolvement of purchase management and decision.We also distinguish the differences between traditional purchase and purchase based on supply chain.We analyze the important status and function of purchase management and decision in supply chain and put forward supply chain purchase optimization strategy based on CPFR.(3) Making a study on the strategy for purchase optimization from the two aspects of purchase flow and purchase content.We analyze purchase flow based on supply chain,on the basis of information sharing,we optimize purchase flow and reduce needless midterm links.At the same time,we synthetically consider purchase content optimization from three aspects material requirement,supplier evaluation and selection and order optimization decision-making.We emphasize crossed multi-product and multi-period material requirement.(4) Based on the criterion of supplier evaluation and selection,we apply support vector machine(SVM) to solve supplier evaluation and selection for purchase optimization. This method predigests operation process of a great deal data.A case study shows practical maneuverability and advantage of this method.(5) After determining the suppliers and material requirement,we build up purchase order optimization models to fix purchase batch and reduce cost.In addition,we use fuzzy multi-object programming to analyze multi-supplier order distribution.(6) Finally,by making use of system simulation technology,we independently develop a purchase optimization decision support system with a high degree of flexibility. This system integrates three aspects of material requirement,supplier evaluation and selection and order optimization decision-making.Based on above research,this paper has four innovations:Firstly,this paper finds a new perspective in supply chain management theory,and perforates the links among three aspects in purchase management and decision content: material requirement,supplier evaluation and selection and order optimization strategy.Secondly,this paper applies the advancing method SVM to supplier evaluation and selection;thus predigests the process of supplier selection and improves the efficiency of supplier evaluation and selection.Thirdly,this paper builds up fuzzy multi-object programming method to determine multi-supplier order distribution which could reduce purchase risk and optimize order distribution strategy.Finally,this paper combines purchase optimization strategy theory and modernrn information technology,designs and implements purchase optimization decision support system based on supply chain using ASP.NET and SQL Server.