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Title: Cross-European initial survey on the use of mathematical models in food industry
Authors: Djekic, Ilija 
Mujčinović, Alen 
Nikolić, Aleksandra 
Jambrak, Anet Režek 
Papademas, Photis 
Feyissa, Aberham Hailu 
Kansou, Kamal 
Thomopoulos, Rallou 
Breisen, 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
Category: Other Engineering and Technologies
Field: Engineering and Technology
Issue Date: Nov-2019
Source: Journal of Food Engineering, 2019, Volume 261, Pages 109-116
Journal: Journal of Food Engineering 
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.
ISSN: 0260-8774
DOI: 10.1016/j.jfoodeng.2019.06.007
Rights: © 2019 The Author(s)
Type: Article
Appears in Collections:Άρθρα/Articles

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