Résumé :
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Models are simplified descriptions of reality. The reality described by a model is only a part of entire reality, a so-called model space. This model space consists of all aware and unaware assumptions, all dependent and independent variables, relations between these, and all data gathered. Methods for choosing the appropriate model in the chosen model space are described, and worked out examples are given. Gathering data in the model space to equip models with parameter values usually results in an improved insight in the model space, therefore an initial model can be ameliorated. Setting up a model and gathering data is an iterative process. Different concepts for model validation are described. Furthermore, attention is given to the combination of models and different model spaces resulting in a model describing both models space. Examples from this thesis are given by means of which the described ideas are illustrated. Structured models and modelling methods are used to predict changes in quality and safety of foods. This thesis shows that even complex problems such as the prediction of the quality of foods can be modelled through the combination of several models. Model systems are developed giving insight into the processes that are of importance in the determination of food quality and safety.
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