Cross-European initial survey on the use of mathematical models in food industry
File(s)
Author(s)
Type
Journal Article
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.
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.
Date Issued
2019-11
Date Acceptance
2019-06-10
Citation
Journal of Food Engineering, 2019, 261, pp.109-116
ISSN
0260-8774
Publisher
Elsevier BV
Start Page
109
End Page
116
Journal / Book Title
Journal of Food Engineering
Volume
261
Copyright Statement
© 2019 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Identifier
https://www.sciencedirect.com/science/article/pii/S0260877419302560?via%3Dihub
Subjects
0908 Food Sciences
Food Science
Publication Status
Published
Date Publish Online
2019-06-11