Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products

Abstract

Managing product return is one of the issues in reverse logistics which has been developing with increasing environmental awareness. Currently various collection strategies are conducted throughout the world to gather old products to be reused, recycled or reprocessed. In order to effectively collect those products, these strategies have to be designed to suit various locations. Therefore, information on the quantity of product returns in those locations is essential. This paper presents an implementation of fuzzy coloured Petri net forecasting model to predict mobile phone returns in various locations in Australia. The results shows up to 90 percent forecast accuracy in predicting mobile phone returns.