Modelling Approaches to Food Waste: Discrete event simulation; machine learning; Bayesian networks; agent-based modelling; and mass balance estimation

Pages: 326 - 344
Published: Jan 13, 2020
Abstract
The generation of food waste at both the supplier and the consumer levels stems from a complex set of interacting behaviours. Computational and mathematical models provide various methods to simulate, diagnose and predict different aspects within the complex system of food waste generation and prevention. This chapter outlines four different modelling approaches that have been used previously to investigate food waste: discrete event simulation,...
Paper Details
Title
Modelling Approaches to Food Waste: Discrete event simulation; machine learning; Bayesian networks; agent-based modelling; and mass balance estimation
Published Date
Jan 13, 2020
Journal
Pages
326 - 344
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