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

Authors: Cristina Mora; Alessandro Cascini; Mauro Gamberi; Alberto Regattieri; Marco Bortolini

Addresses: Department of Industrial Engineering (DIN), School of Engineering, University of Bologna, v.le Risorgimento, 2, 40136, Bologna, Italy ' Department of Management and Engineering (DTG), School of Industrial Engineering, University of Padova, Stradella San Nicola, 3, 36100, Vicenza, Italy ' Department of Management and Engineering (DTG), School of Industrial Engineering, University of Padova, Stradella San Nicola, 3, 36100, Vicenza, Italy ' Department of Industrial Engineering (DIN), School of Engineering, University of Bologna, v.le Risorgimento, 2, 40136, Bologna, Italy ' Department of Management and Engineering (DTG), School of Industrial Engineering, University of Padova, Stradella San Nicola, 3, 36100, Vicenza, Italy

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 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.

Keywords: reverse logistics; end of life vehicles; EOL vehicles; ELVs; mixed integer linear programming; MILP; vehicle recovery networks; remanufacturing; sensitivity analysis; European Commission; EC Directive; sustainable consumption; automobile industry; automotive recycling; Italy; modelling; network design; vehicle module reuse.

DOI: 10.1504/IJLSM.2014.063980

International Journal of Logistics Systems and Management, 2014 Vol.18 No.4, pp.449 - 472

Published online: 30 Aug 2014 *

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