A planning model for the optimisation of the end-of-life vehicles recovery network

Abstract

European Directive 2000/53 on end-of-life vehicles (ELVs) introduced new constraints, regulations and recommendations on the vehicle design, waste disposal and take-back policy. Automotive original equipment manufacturers (OEMs) are even more involved in the expected vehicle recovery network modifications. As a consequence, one of the most critical and C. Mora et al.challenging issues for reverse logistics (RL) management is the development of effective tools to support strategic, tactical and operational decisions to yield the maximum economic benefit in compliance with the reference regulations. In this paper, a mixed integer linear programming (MILP) model for ELV closed-loop network design is proposed. The network cost minimisation objective function, the integration of forward and reverse logistics and the inclusion of remanufacturing activities for vehicle module reuse represent the model key features. The proposed model is, further, applied on a realistic Italian case-study and the results of a sensitivity analysis are presented to identify the parameters most affecting the model outcomes.Reference to this paper should be made as follows: Mora, C., Cascini, A., Gamberi, M., Regattieri, A. and Bortolini, M. (2014) 'A planning model for the optimisation of the end-of-life vehicles recovery network', Int. . His research topics deal with the design and optimisation of complex production (manufacturing) systems and renewable energy systems. In this context his activity is mainly focused on the study and experimentation of solar conversion devices, with particular attention to the technical feasibility and to the economical profitability of concentrating and non-concentrating solar systems.

Optimization of a regional distribution center location for parts of end-of-life vehicles

“…Go1ębiewski et al 34 tried a simulation approach to optimize the location of vehicle recycling facilities. Mora et al 35 attempted to adopt a MILP model to optimize the ELV recovery network. Demirel et al 36 optimized ELV reverse logistics activities by using a MILP model.…”