Food process modelling

Part 1 Principles of modelling: Fundamental approaches: Power and pitfalls of deductive modelling Problem decomposition Kinetic modelling Modelling of heat and mass transfer Combined discrete/continuous modelling. Part 2 Principles of modelling: Empirical approaches: Power and pitfalls of inductive modelling Data mining Modelling and prediction in an uncertain environment. Part 3 Applications: Agricultural production: Yield and quality prediction of vegetables Modelling and management of fruit production Dairy production Beef cattle production. Part 4 Applications: Processing technologies: Use of models in process development: the case of fermentation processes Improving modified atmosphere packaging through conceptual models Modelling thermal processes: cooling and freezing Modelling thermal processes: heating. Part 5 Applications: Safety and quality in the food chain: Modelling food quality Modelling microbiological safety Modelling use of time-temperature indicators in distribution and stock rotation Modelling the management of distribution centres Concepts of chain management and chain optimisation.