ABSTRACT
Mathematical/statistical modelling facilitates a real understanding of the non-linear problems associated with food engineering operations with the aid of statistical heuristics and helps in the development of validated non-linear regression models. The food engineering domain is considered to be a complex process due to the presence of various scalable throughputs, rheological properties of food molecules, different processes and environmental parameters, quality and stability concerns. The heterogeneity and variability encountered in the food engineering domain can be made manageable by utilizing the modelling approaches which put forth the non-linear relationship of the different process parameters on the performance of the process or on the final yield of the food product. The complexity will be greater while developing a process model and taking care of relationships between composition, structure, properties, quality and shelf-life of the food, resulting in a very challenging task.
