Applications of process and digital twin models for production simulation and scheduling in the manufacturing of food ingredients and products

[Display omitted] •Digitization of food plants in the areas of simulation and scheduling is discussed.•Challenges and opportunities in food industries are presented.•A common recipe-based process representation is proposed in all applications.•The concept of digital twins is used in the context of s...

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Bibliographic Details
Published in:Food and bioproducts processing 2021-03, Vol.126, p.317-333
Main Authors: Koulouris, Alexandros, Misailidis, Nikiforos, Petrides, Demetri
Format: Article
Language:English
Subjects:
Case studies
Computer simulation
Context
Design optimization
Digital technology
Digital twins
Food
Food industry
Food process industries
Food processing
Food processing industry
Food production
Foods
Industrial applications
Industry
Modelling
Process simulation
Product safety
Production scheduling
Simulation
Throughput analysis
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Summary:[Display omitted] •Digitization of food plants in the areas of simulation and scheduling is discussed.•Challenges and opportunities in food industries are presented.•A common recipe-based process representation is proposed in all applications.•The concept of digital twins is used in the context of scheduling.•A large brewery model is used to demonstrate the proposed approach. Food Processing Industries are bound to increasingly adopt digital technologies in order to ensure product safety and quality, minimize costs in the face of low profit margins, shorten lead times and guarantee timely delivery of an increasing number of products despite production dead times and uncertainties. The concept of a digital twin put forward in the context of Industry 4.0 encompasses a digital model of the production model that mimics the physical system, interacts with it and can be used to design, monitor and optimize its performance. In this paper, the application of integrated process and digital twin models in food processing is discussed in the context of process simulation and production scheduling. The modeling challenges, opportunities and special characteristics that distinguish food from other process industries are also discussed. The potential benefits from implementing a digital modeling approach on a food process are presented with the help of a large-scale brewery case study.
ISSN:0960-3085
1744-3571
DOI:10.1016/j.fbp.2021.01.016