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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9524

Title: Modelling and optimisation of a product recovery network
Authors: Harding, Jennifer A.
Swarnkar, Rahul
Keywords: Product recovery
Reverse logistics
Genetic algorithm
Issue Date: 2009
Publisher: © Taylor & Francis
Citation: HARDING, J.A. and SWARNKAR, R., 2009.Modelling and optimisation of a product recovery network. International Journal of Sustainable Engineering, 2 (1), pp. 40 - 55
Abstract: An appropriate logistics network is an important element of the infrastructure of any product recovery company. Small and medium enterprises (SMEs) constitute a major fraction of the product recovery industry with a different business objective and scale of operation from those of original equipment manufacturers. This paper addresses the network design issues for SMEs involved in product recovery activities. A mathematical formulation is presented in an SME context and a subsequent simulation model is developed. A genetic algorithm approach is presented for optimising the network for a single product scenario.
Description: This is an electronic version of an article published in International Journal of Sustainable Engineering [© Taylor & Francis] is available online at: www.tandfonline.com
Version: Accepted for publication
DOI: 10.1080/19397030802576288
URI: https://dspace.lboro.ac.uk/2134/9524
Publisher Link: http://www.tandf.co.uk/journals/titles/19397038.asp
ISSN: 1939-7038
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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