Research on supply chain partner selection based on Markov chain dynamic fuzzy evaluation in cloud computing
Xiaolei Duan · Jisuanji yingyong yanjiu · 2014
Cloud computing provides a good integrated environment for the flexibility,loose coupling,seamlessintegration and building of supply chain,which makes it possible for node enterprises to choose a right partner in a rapid and low-cost way and then jointly improves the overall supply chain performance. However,the supply chain partner selection and evaluation process is dynamic and the evaluation indexes are fuzzy and uncertain under the cloud computing environment. To address the problems above,this paper proposed a dynamic fuzzy evaluation model based on Markov chain. Based on the constructed evaluation index system,the model adopted a subjective and objective comprehensive weight calculating method to calculate the index weight. Then it used the fuzzy comprehensive analysis method to evaluate node enterprises in different historical periods,and obtained the steady state vector by introducing Markov chain theory and establishing transition probability matrix. Next,it gained the development trend of node enterprises and their comprehensive evaluation value by combining the weight value calculated above. Finally,the examples and results demonstrate that the evaluation method is reasonable and feasible.