Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.14/27827
Title: Cross-European initial survey on the use of mathematical models in food industry
Author: Djekic, Ilija
Mujčinović, Alen
Nikolić, Aleksandra
Jambrak, Anet Režek
Papademas, Photis
Feyissa, Aberham Hailu
Kansou, Kamal
Thomopoulos, Ralloum
Briesen, Heiko
Kavallieratos, Nickolas G.
Athanassiou, Christos G.
Silva, Cristina L. M.
Sirbu, Alexandrina
Moisescu, Alexandru Mihnea
Tomasevic, Igor
Brodnjak, Urška Vrabič
Charalambides, Maria
Tonda, Alberto
Keywords: Mathematical models
Food industry
Knowledge in modelling
Usage of models
Issue Date: 2019
Publisher: Elsevier
Citation: Djekic, I., Mujčinović, A., Nikolić, A., Jambrak, A. R., Papademas, P., Feyissa, A. H., Kansou, K., Thomopoulos, R., Briesen, H., Kavallieratos, N. G., Athanassiou, C. G., Silva, C. L. M., … Tonda, A. (2018). Cross-European initial survey on the use of mathematical models in food industry. Journal of Food Engineering, 261, 109-116
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.
Peer review: yes
URI: http://hdl.handle.net/10400.14/27827
DOI: 10.1016/j.jfoodeng.2019.06.007
ISSN: 0260-8774
Appears in Collections:ESB - Artigos / Articles

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