Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14188
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 
Major Field of Science: Engineering and Technology
Field Category: Other Engineering and Technologies
Keywords: Mathematical models;Food industry;Knowledge in modelling;Usage of models
Issue Date: Nov-2019
Source: Journal of Food Engineering, 2019, vol. 261, pp. 109-116
Volume: 261
Start page: 109
End page: 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: 02608774
DOI: 10.1016/j.jfoodeng.2019.06.007
Rights: © The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license
Type: Article
Affiliation : University of Belgrade 
University of Sarajevo 
University of Zagreb 
Cyprus University of Technology 
Technical University of Denmark 
Institut National de la Recherche Agronomique 
Technical University of Munich 
Agricultural University of Athens 
University of Thessaly 
Universidade Católica Portuguesa 
Constantin Brancoveanu University 
University Politehnica of Bucharest 
University of Ljubljana 
Imperial College London 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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