@article{garcia-garcia_optimising_2017,
	title = {Optimising {Industrial} {Food} {Waste} {Management}},
	volume = {8},
	issn = {23519789},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S2351978917300616},
	doi = {10.1016/j.promfg.2017.02.055},
	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.},
	language = {en},
	urldate = {2025-10-10},
	journal = {Procedia Manufacturing},
	author = {Garcia-Garcia, Guillermo and Woolley, Elliot and Rahimifard, Shahin},
	year = {2017},
	pages = {432--439},
}

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