Digital Twins in Food Supply

An Overview of potentials and challenges

JournalIndustrie 4.0 Management
Issue Volume 38, 2022, Edition 5, Pages 17-20
Open Accesshttps://doi.org/10.30844/IM_22-5_17-20
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Abstract

The food sector is facing many challenges, including food loss and waste. To cope with those challenges, digital twins that create a digital representation of physical entities by integrating real-time and real- world data seems to be a promising approach. This article presents the results of a literature review on digital twin applications in the food industry and analyze their challenges and potentials.

Bibliography

[1] Tao, F.; Zhang, M.; Nee, A.: Five-Dimension Digital Twin Modeling and Its Key Technologies. In Tao, F.; Zhang, M.; Nee, A. (Hrsg): Digital Twin Driven Smart Manufacturing. London San Diego Cambridge Oxford 2019.
[2] Koulouris, A.; Misailidis, N.; Petrides, D.: Applications of process and digital twin models for production simulation and scheduling in the manufacturing of food ingredients and products. In: Food and Bioproducts Processing (2021) 126.
[3] Verboven, P.; Defraeye, T.; Datta, A.K.; Nicolai, B.: Digital twins of food process operations: the next step for food process models? In: Current Opinion in Food Science 35 (2020), S. 79-87.
[4] Werner, R.; Takacs, R.; Geier, D.; Becker, T.; Weißenberg, N.; Haße, H.; Sollacher, R.; Thalhofer, M.; Schumm, B.; Steinke, I.: The Challenge of Implementing Digital Twins in Operating Value Chains. In Herwig, C.; Pörtner, R.; Möller, J. (Hrsg): Digital Twins: Applications to the Design and Optimization of Bioprocesses. Heidelberg 2021.
[5] Rohleder, B.; Minhoff, C.: Die Ernährung 4.0 – Status Quo, Chancen und Herausforderungen, 2019. URL: www.bitkom.org/sites/de-fault/files/2019-03/Bitkom-Charts%20190326%20Digitalisierung%20der%20Ern%C3%A4hrungsindustrie.pdf, Abrufdatum 09.04.2022.
[6] Krupitzer, C.; Stein, A. Food Informatics—Review of the Current State-of-the-Art, Revised Definition, and Classification into the Research Landscape. In: Foods (2021) 10.
[7] Henrichs, E.; Noack, T.; Pinzon Piedrahita, A. M.; Salem, M. A.; Stolz, J.; Krupitzer, C.: Can a Byte Improve Our Bite? An Analysis of Digital Twins in the Food Industry. In: Sensors 22 (2022) 115. www.mdpi.com/1424-8220/22/1/115.

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