Decision modelling of reverse logistics systems: selection of recovery operations for end-of-life products

Many studies have shown that Reverse Logistics (RL) practices can result in substantial cost savings for companies. Since product returns are the most common aspects of RL, this research is focused on recovery operations for end-of-life products. We develop a decision model that assists the decision makers in determining the best reprocessing option of any given return. This model is based on a classification scheme of the returned products and takes into consideration various technical, economical and environmental factors. Two industrial cases demonstrate the applicability of the proposed model.