Research on product recovery forecast in remanufacturing based on weighted Markov chain

Abstract

In order to determine the number of recycled products and solve the uncertain problem in product recovery. This paper used Weighted Markov Chain to establish a forecasting model, set up a classification standard of Markov Chain by using mean-variance method and established the state transition probability matrix through sorting the data, at last predicted the number of recycled steel by regarding the standardized autocorrelation coefficients as weights. The results show that the model is accurate and has a good application. © 2013 Springer-Verlag.