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Metrics for identifying the most suitable strategy for distributed localised food manufacturing
conference contributionposted on 2018-08-06, 08:43 authored by Pedro Gimenez-Escalante, Shahin RahimifardShahin Rahimifard
The globalisation of manufacturing systems has generated many economic benefits, but in some areas such as the food sector, it has also increased resource requirements to manufacture, preserve and transport raw ingredients as well as finished products. ‘Distributed Localised Manufacturing’ (DLM) has been identified as a potential solution for the food sector to adopt a more sustainable approach based on a make-to-order manufacturing strategy. This has the potential to minimise food waste, optimise resource usage, and support product customisation. However, DLM performance analysis at product, process and system levels is vital to ensure its long-term ecological and economic viability. This paper highlights four possible models for implementation of DLM in the food sector, defines nine key metrics to aid with selection of the most suitable DLM model for a specific food product family, and explores metrics future applications to support long-term sustainability of food manufacturing.
This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/K030957/1], the EPSRC Centre for Innovative Manufacturing in Food.
- Mechanical, Electrical and Manufacturing Engineering
Published in16th Global Conference on Sustainable Manufacturing
CitationGIMENEZ-ESCALANTE, P. and RAHIMIFARD, S., 2018. Metrics for identifying the most suitable strategy for distributed localised food manufacturing. Procedia Manufacturing, 33, pp.586-593.
Publisher© The Authors. Published by Elsevier
- VoR (Version of Record)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis paper will be presented at the 16th Global Conference on Sustainable Manufacturing, Lexington Kentucky, USA, October 2-4th. This is an Open Access article. It is published by Elsevier under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/