Skip to Main content Skip to Navigation
Journal articles

Cross-European initial survey on the use of mathematical models in food industry

Ilija Djekic 1 Alen Mujčinović 2 Aleksandra Nikolić 2 Anet Režek Jambrak 3 Photis Papademas 4 Aberham Hailu Feyissa 5 Kamal Kansou 6 Rallou Thomopoulos 7, 8 Heiko Briesen 9 Nickolas Kavallieratos 10 Christos Athanassiou 11 Cristina L.M. Silva 12 Alexandrina Sirbu 13 Alexandru Mihnea Moisescu 14 Igor Tomasevic 15 Urška Vrabič Brodnjak 16 Maria Charalambides 17 Alberto Tonda 18
Abstract : Mathematical modelling plays an important role in food engineering having various mathematical models tailored for different food topics. However, mathematical models are followed by limited information on their application in food companies. This paper aims to discuss the extent and the conditions surrounding the usage of mathematical models in the context of European food and drinks industry. It investigates the knowledge, nature and current use of modelling approaches in relation to the industry main characteristics. A total of 203 food companies from 12 European countries were included in this research. Results reveal that the country where the company operates, and size of the company, are more important predictors on the usage of mathematical models followed by the type of food sector. The more developed countries are positioned at the higher level of knowledge and use of available models. Similar pattern was observed at the micro level showing that small or medium sized companies exhibit lack of knowledge, resources and limiting usage of models.
Document type :
Journal articles
Complete list of metadatas
Contributor : Rallou Thomopoulos <>
Submitted on : Monday, August 12, 2019 - 11:34:31 AM
Last modification on : Thursday, July 2, 2020 - 2:24:57 PM

Links full text



Ilija Djekic, Alen Mujčinović, Aleksandra Nikolić, Anet Režek Jambrak, Photis Papademas, et al.. Cross-European initial survey on the use of mathematical models in food industry. Journal of Food Engineering, Elsevier, 2019, Journal of Food Engineering, 261, pp.109-116. ⟨10.1016/j.jfoodeng.2019.06.007⟩. ⟨hal-02265749⟩



Record views