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Optimising industrial food waste management

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journal contribution
posted on 19.01.2017, 15:41 by Guillermo Garcia-Garcia, Elliot Woolley, Shahin Rahimifard
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.

Funding

This research is funded by the Engineering and Physical Sciences Research Council (EPSRC) UK through the grant EP/K030957/1.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

14th Global Conference on Sustainable Manufacturing

Citation

GARCIA-GARCIA, G., WOOLLEY, E. and RAHIMIFARD, S., 2017. Optimising industrial food waste management. Procedia Manufacturing, 8, pp. 432-439.

Publisher

Elsevier © The Authors

Version

VoR (Version of Record)

Publisher statement

This 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/

Acceptance date

11/09/2016

Publication date

2017

Notes

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.

ISSN

2351-9789

Language

en

Location

Stellenbosch, South Africa

Exports

Loughborough Publications

Exports