Research On The Risk Assessment Of Credit Suppliers Based On Supply Chain Finance Industry

According to the development situation of domestic economy,finance industry supporting real economy which inclines to developing higher quality level is future development trend.Supply chain finance is the fusion product of finance and real economy integrated.Management and control of supply chain finance risk is the basis of the sustainable development of supply chain finance.Manufacturers is not only the main carrier of supply chain finance demand,but also the important node point of supply chain and industry chain development.Therefore,the risk assessment of manufacturers is regarded as the main object when operating the supply chain finance projects.Firstly,research on the risk assessment of credit suppliers is the basis of fusion development of industry chain and finance industry from the macro-level perspective.From the micro-level perspective,the research on the risk management and control of manufacturers improves the compliance management level,which reduce the risk from the credit suppliers during the credit process.Besides,constructing effective assessment model using scientific theory and approach,to find important assessment attribute indexes and logic rules affecting the result of risk assessment of credit suppliers.That will be promoted and popularized products because of its social value when they are in application,and this is the core value of this paper research.Secondly,considering the situation and pain spot of supply chain finance,this paper constructs a set of risk assessment attribute indexes system for credit suppliers,including interior risk attribute indexes,exterior risk attribute indexes,reason of risk and risk management.The specialty and architecture analysis of the attribute indexes distribution is also made to lay the foundation of screening the risk attribute indexes for the following research.Thirdly,the first step of constructing FA-KM-TOPSIS model to assess the risk of credit suppliers objectively is obtaining 6 quantitative attribute indexes by FA model;the second step is using KM model to analyze specialty of the 5 groups from 1820 suppliers.lastly the result shows that current ratio and quick ratio occupy the most weight,which are debt paying ability attribute indexes,black and poor credit list,suppliers scale stand for the least weight,which are the qualitative attribute indexes.Moreover,the research shows that debt paying ability and profitability are the most important attribute indexes of credit suppliers risk assessment,one of which appears better,the credit supplier group performs lowers risk.Fourthly,constructing the subjective model FA-KM-GAHP to assess the credit suppliers risk combing the FA model,KM model and GAHP model which is judged by the importance of assessment attribute indexes.KM model finds 3 different groups such as high profitability group,high debt paying ability group and group of both abilities weak.The model result shows that debt paying ability,price stability and cash ability of product are the most important benefit attribute indexes.Product quality,seizure and litigation are the most important cost attribute indexes.The result also shows that the group of credit suppliers with higher debt paying ability is superior to group of higher profitability on the equal conditions,and is better than the group of weak both abilities in the nature of things.In the fifth part,the sensitiveness analysis of weight of attribute indexes and experts shows general result that quick ratio attribute indexes stands for the most weight of the total quantitative attribute indexes,and the nature of supplier accounts for the most proportion of the qualitative attribute indexes.In addition,credit supplierx1andx2are influenced by the change of attribute indexes weight strongly.Expert makes different contributions to the group consensus assessment,the sensitiveness research displays experte3makes greater contribution to the group consensus in the objective assessment model,experte1ande4make greater influence on the benefit attribute indexes weight,but no impact on cost attribute indexes weight.In empirical analysis of auto parts and accessories industry group found that the risk of the state-owned enterprises group is lower than the private enterprise group,the foreign capital enterprise group has the highest degree of risk,debt paying ability and other important quantitative attribute index and the change of the expert weight will affect the assessing risk results of credit supplier group different level.In the sixth part,the measures and suggestions are put forward when assessing the risk of credit suppliers.one is set up the sharing platform of risk consensus assessment applying the technology of allied block chain,namely("l+N+1",that means one is platform,N is allied member,one is consensus assessment result),on the other hand is the application of internet of things with block chain,to provide basis and support of information and big data offered by the platform.Building the compliance management system to improve the internal control management ability is also discussed,and putting forward the standard threshold value of the assessment attribute indexes like debt paying ability,and stability of product price,level of product quality and service satisfaction,expert ability are effective factors to improve the efficiency and rationality of model research,that mesas the effect of weight of import attribute indexes on the results of credit suppliers risk assessment should be considered especially,and the unique preference of experts is commonly avoided to achieve open and fair risk assessment results.The principle of supply chain stability pushing supply chain finance greater stability reducing the risk of credit suppliers should be followed.In all,the core principle of credit suppliers risk assessment and management is that confirming accurate data from the alliance blockchain platform,obtaining the risk consensus assessment result from the algorithm model,then in accordance of the results to enforce compliance and regulation,taking supply chain stability into consideration during the whole risk control process.