Modelling and optimisation of a product recovery network

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...

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Main Authors: Jennifer Harding, Rahul Swarnkar
Format: Default Article
Published: 2009
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Online Access:https://hdl.handle.net/2134/9524
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id rr-article-9569501
record_format Figshare
spelling rr-article-95695012009-01-01T00:00:00Z Modelling and optimisation of a product recovery network Jennifer Harding (1258389) Rahul Swarnkar (7201583) Mechanical engineering not elsewhere classified Product recovery Reverse logistics Simulation Optimisation Genetic algorithm Arena Mechanical Engineering not elsewhere classified 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. 2009-01-01T00:00:00Z Text Journal contribution 2134/9524 https://figshare.com/articles/journal_contribution/Modelling_and_optimisation_of_a_product_recovery_network/9569501 CC BY-NC-ND 4.0
institution Loughborough University
collection Figshare
topic Mechanical engineering not elsewhere classified
Product recovery
Reverse logistics
Simulation
Optimisation
Genetic algorithm
Arena
Mechanical Engineering not elsewhere classified
spellingShingle Mechanical engineering not elsewhere classified
Product recovery
Reverse logistics
Simulation
Optimisation
Genetic algorithm
Arena
Mechanical Engineering not elsewhere classified
Jennifer Harding
Rahul Swarnkar
Modelling and optimisation of a product recovery network
description 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.
format Default
Article
author Jennifer Harding
Rahul Swarnkar
author_facet Jennifer Harding
Rahul Swarnkar
author_sort Jennifer Harding (1258389)
title Modelling and optimisation of a product recovery network
title_short Modelling and optimisation of a product recovery network
title_full Modelling and optimisation of a product recovery network
title_fullStr Modelling and optimisation of a product recovery network
title_full_unstemmed Modelling and optimisation of a product recovery network
title_sort modelling and optimisation of a product recovery network
publishDate 2009
url https://hdl.handle.net/2134/9524
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