On the optimal design of the disassembly and recovery processes

This paper tackles the problem of the optimal design of the recovery processes of the end-of-life (EOL) electric and electronic products, With a special focus oil the disassembly issues. The objective is to recover as much ecological and economic value as possible, and to reduce the overall produced quantities Of waste. To this context, a medium-range tactical problem is defined and a novel two-phased algorithm is presented for a remanufacturing-driven reverse Supply chain. in the first phase, we propose a multicriteria/goal-programming for the identification and the optimal selection of the most 'desirable',subassemblies and components to be disassembled for recovery, from a set of different types of EOL produced. In the second phase, a multi-product. multi-period mixed-integer linear programming (MILP) model is presented. which addresses the optimization of the recovery processes, while taking into account explicitly the lead times of the disassembly and recovery processes. Moreover, a simulation-based solution approach is proposed for capturing the uncertainties in reverse logistics. The overall approach loads to an easy-to-use Methodology that could Support effectively middle level management decisions. Finally, tire applicability of the developed applicability is illustrated by its application on a specific case study. (C) 2008 Elsevier Ltd. All rights reserved.