Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept
Published in IEEE Access, 2022
This paper introduces a cyber-physical system (CPS) demonstration designed for the mining industry, aimed at autonomously managing inventory control for multiple stockpiles using an automated shuttle-conveyor-belt operation. The CPS integrates sensing, optimization, and actuation within a smart manufacturing framework, leveraging Industry 4.0 principles.
The system uses a deep neural network for real-time sensing and evaluation of material levels in containers, while the optimization component employs a mixed-integer programming approach known as unit-operation-port-state superstructure (UOPSS). This approach allows for efficient decision-making and control of discrete operational variables, minimizing deviations from target inventory levels. The actuation is carried out
Recommended citation: Yaqot, M., Franzoi, R. E., Islam, A., & Menezes, B. C. (2022). "Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept." IEEE Access, 10, 127636--127653. https://doi.org/10.1109/ACCESS.2022.3226942
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