Crowdsourcing Logistics Risk Evaluation Research Based On Risk Matrix And Fuzzy Set Theory

At present,mobile internet have gradually popularizing in our daily life,the integration of O2 O e-commerce platform for life service have profoundly integrated offline stores,its convenience led to a dramatic expansion of the market size,instant delivery orders in the city-wide have exponentially increased.With the development of sharing economy,"Internet plus logistics" gradually into the public view,crowd sourcing logistics mode which is rely on credit established,beginning re-interpret the efficiency and cost,which gradually evolved into effective solution for immediate delivery pain points of the city.Using crowd sourcing to do the terminal distribution can improve social efficiency,save resources,and solve the problem of social distribution.However,with the rapid development of crowd sourcing logistics model,its negative effects also have appeared,lack of supervision and healthy industry standards,poor service quality and other phenomena,resulting in a variety of issues has gradually been highlighted.Therefore,enterprises use crowd sourcing logistics mode to carry out the risk of distribution has become one of the important issues restricting the sustainable development of crowd sourcing logistics enterprises,and have a great research value.Under the above background,this paper based on risk matrix combined with fuzzy set theory to assessing the evolution of crowd sourcing logistics,detailed study is the process of risk distribution,removing obstacles for the rapid development of crowd sourcing logistics,helping crowd sourcing logistics Sustainable can healthy development.The general frame is that defines the basic concepts of crowd sourcing logistics and logistics crowd sourcing risk connotation,to identify the risk factors facing crowd sourcing logistics based on the basic theory,establishing the risk evaluation index system.After the selection and optimization of some logistics risk assessment methods,the risk evaluation model is established by combining the risk matrix and fuzzy set theory.Finally this research choose crowd sourcing logistics platform J as a mode makes a practical research,and put forward to the corresponding risk avoidance scheme.According to the evaluation results,this research further validates the operability and science of the evaluation model.