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Title: Optimising industrial food waste management
Authors: Garcia-Garcia, Guillermo
Woolley, Elliot
Rahimifard, Shahin
Keywords: Food waste
Waste management
Food manufacturing
Issue Date: 2017
Publisher: Elsevier © The Authors
Citation: GARCIA-GARCIA, G., WOOLLEY, E. and RAHIMIFARD, S., 2017. Optimising industrial food waste management. Procedia Manufacturing, 8, pp. 432-439.
Abstract: Global levels of food waste are attracting growing concern and require immediate action to mitigate their negative ecological and socio-economic ramifications. In the developed world, of the order of 20-40% of food waste is generated at the manufacturing stage of supply chains and is often managed in non-optimised ways leading to additional environmental impacts. This research describes a novel decision-support tool to enable food manufacturers to evaluate a range of waste management options and identify the most sustainable solution. A nine-stage qualitative evaluation tool is used in conjunction with a number of quantitative parameters to assess industrial food waste, which is then used to generate performance factors that enable the evaluation of economic, environmental and social implications of a range of food-waste management alternatives. The applicability of this process in a software-based decision-support tool is discussed in the context of two industrial case studies.
Description: 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: http://creativecomons.org/licenses/by-nc-nd/4.0. This paper was also presented at the 14th Global Conference on Sustainable Manufacturing (GCSM), Stellenbosch, South Africa, 3rd-5th October 2016.
Sponsor: This research is funded by the Engineering and Physical Sciences Research Council (EPSRC) UK through the grant EP/K030957/1.
Version: Published
DOI: 10.1016/j.promfg.2017.02.055
URI: https://dspace.lboro.ac.uk/2134/23785
Publisher Link: http://doi.org/10.1016/j.promfg.2017.02.055
ISSN: 2351-9789
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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