We propose to use model-based systems engineering (MBSE) and conceptual modeling for two purposes:
- model the function, structure, and behavior of the entire “farm-to-fork” food value chain, ultimately enabling real-time view of the physical objects and processes along the food chain at increasing levels of detail through their digital twins, as reported by sensors in key chain locations.
- educate food engineers to use conceptual modeling using a MOOC – massive open online course.
The benefit of the model is to transparently expose all the stakeholders in the food chain, from the food engineers to the customers, to the sources and paths of the entire set of ingredients of the food they handle or ultimately consume. Using MBSE principles and applying Cloud, IoT, Digital Twin and Industry 4.0 technologies, we shall develop a generic model-based platform for food value chain definition, maintenance, real-time query and decision support, and constant evolution.