Towards a holistic approach for multi-objective optimization of food processes: a critical review
Idioma
en
Article de revue
Este ítem está publicado en
Trends in Food Science and Technology. 2019, vol. 86, p. 1-15
Elsevier
Resumen en inglés
While Multi-objective Optimization (MOO) has provided many methods and tools for solving design problems, food processes have benefitted little from them. MOO encompasses the identification of performance indicators, process ...Leer más >
While Multi-objective Optimization (MOO) has provided many methods and tools for solving design problems, food processes have benefitted little from them. MOO encompasses the identification of performance indicators, process modelling, preference integration, trade-off assessment, and finding the best trade-offs. In this review, the use of these five elements in the design of food processes through MOO is analysed. A number of studies dealing with food processes MOO have been identified. Even though these studies improve the design process, they often approach MOO in a simplified and insufficiently rationalized way. Based on this review, several research issues are identified, related to the improvement of the different models and methods, and to the development of more holistic MOO methods for food processes.< Leer menos
Palabras clave en inglés
Multi-objective optimization
Multi-criteria decision aids
Food process design
Orígen
Importado de HalCentros de investigación