Kandemir, C., Reynolds, C., Tom, Q. et al. (5 more authors) (2020) Using discrete event simulation to explore food wasted in the home. Journal of Simulation, 16 (4). pp. 415-435. ISSN 1747-7778
Abstract
Food waste is an issue of global importance. Households generate more food waste than any other source in high- and middle-income countries. There are many solutions to reduce household food waste, but measurement of the impact of each solution is costly, and therefore usually not undertaken. This is a major barrier to decision makers adopting the most effective solutions. Discrete event simulation (DES) modelling is ideally placed to overcome these problems. This paper presents the most developed application of DES to household food waste to date: The Household Simulation Model (HHSM). The HHSM has the flexibility to model several food items. It includes many household dynamics that can affect food waste (e.g., purchasing, storage, consumption). The HHSM simulates a range of household types to reflect the diversity of the population in question (for this paper, the United Kingdom). This paper demonstrates the innovation of the HHSM: it provides a framework allowing different types of evidence to be brought together to help understand how food waste is influenced by a range of factors. To illustrate its usefulness, we provide an analysis of six potential interventions to reduce milk waste, covering both product innovation and behaviour change.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Food waste; household food waste; waste reduction; discrete event simulation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Funding Information: | Funder Grant number NATURAL ENVIRONMENT RESEARCH COUNCIL NE/R007160/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Nov 2020 13:58 |
Last Modified: | 25 May 2024 02:14 |
Status: | Published |
Publisher: | Informa UK Limited |
Refereed: | Yes |
Identification Number: | 10.1080/17477778.2020.1829515 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:168184 |
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