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Cross-European initial survey on the use of mathematical models in food industry
- Source :
- Journal of Food Engineering, Journal of Food Engineering, Elsevier, 2019, Journal of Food Engineering, 261, pp.109-116. ⟨10.1016/j.jfoodeng.2019.06.007⟩, Journal of Food Engineering, 2019, Journal of Food Engineering, 261, pp.109-116. ⟨10.1016/j.jfoodeng.2019.06.007⟩, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Djekic, I, Mujčinović, A, Nikolić, A, Jambrak, A R, Papademas, P, Feyissa, A H, Kansou, K, Thomopoulos, R, Breisen, H, Kavallieratos, N G, Athanassiou, C G, Silva, C L M, Sirbu, A, Moisescu, A M, Tomasevic, I, Brodnjak, U V, Charalambides, M & Tonda, A 2019, ' Cross-European initial survey on the use of mathematical models in food industry ', Journal of Food Engineering, vol. 261, pp. 109-116 . https://doi.org/10.1016/j.jfoodeng.2019.06.007
- Publication Year :
- 2019
- Publisher :
- Elsevier, 2019.
-
Abstract
- International audience; 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.
- Subjects :
- Micro level
Relation (database)
Food industry
Knowledge in modellling
Context (language use)
03 medical and health sciences
0404 agricultural biotechnology
0302 clinical medicine
[SDV.IDA]Life Sciences [q-bio]/Food engineering
Lack of knowledge
Industrial organization
2. Zero hunger
Mathematical models
Usage of models
Mathematical model
business.industry
04 agricultural and veterinary sciences
Limiting
040401 food science
ddc
[STAT]Statistics [stat]
Food sector
030221 ophthalmology & optometry
Business
Knowledge in modelling
0908 Food Sciences
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 18735770 and 02608774
- Volume :
- 261
- Database :
- OpenAIRE
- Journal :
- Journal of Food Engineering
- Accession number :
- edsair.doi.dedup.....2e78276d65747741c43a66d215f029dd