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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21779

Title: Optimized assembly design for resource efficient production in a multiproduct manufacturing system
Authors: Gould, Oliver
Simeone, Alessandro
Colwill, James
Woolley, Elliot
Willey, Roy
Rahimifard, Shahin
Keywords: Material
Issue Date: 2017
Publisher: © The Authors. Published by Elsevier
Citation: GOULD, O. ...et al., 2017. Optimized assembly design for resource efficient production in a multiproduct manufacturing system. Procedia CIRP, 62, pp. 523–528.
Abstract: Resource efficiency is one of the greatest challenges for sustainable manufacturing. Material flow in manufacturing systems directly influences resource efficiency, financial cost and environmental impact. A framework for material flow assessment in manufacturing systems (MFAM) was applied to a complex multi-product manufacturing case study. This supported the identification of options to alter material flow through changes to the product assembly design, to improve overall resource efficiency through eliminating resource intensive changeovers. Alternative assembly designs were examined using a combination of intelligent computation techniques: k-means clustering, genetic algorithm and ant colony algorithm. This provided recommendations balancing improvement potential with extent of process modification impact.
Description: This paper was presented at the 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16, Naples.
Sponsor: This work was funded by the Engineering and Physical Sciences Research Council [grant number EP/I033351/1] as part of the Centre for Innovative Manufacturing in Industrial Sustainability.
Version: Published
DOI: 10.1016/j.procir.2016.06.114
URI: https://dspace.lboro.ac.uk/2134/21779
Publisher Link: https://doi.org/10.1016/j.procir.2016.06.114
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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