Reusability Evaluation Models In Reverse Logistics

This study focuses on the problem of reusability evaluation in reverse logistics. To deal with it, products are categorized into two types: well established products, and products with fast innovations. An innovation reliability based model (model 1) is suggested to evaluate reusability of returns for the first category. For the second category, a fuzzy multiple participant-multiple criteria (MPMC) decision making model is presented, which is a modified combination of two previous researches: the disposal cause analysis matrix (Umeda et al., 2005), and the fuzzy analytical hierarchy process (AHP) method (van Laarhoven and Pedrycz, 1983). To present the application of model 1, a green manufacturing system with an (s, Q) inventory control policy is simulated using Arena. With the aid of it, the system is analyzed in two situations: with recovery operations, and without recovery operations to investigate the effects of both model 1 and recovery operations on the system parameters.