Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry

This paper presents a complete digital twin framework with the purpose to aid manufacturing ergonomics and control operations in distillery industry. The focus is on the design of a digital twin framework that manages the material flow in the real system based on ergonomics and resource efficient parameters of the manual operations. Preliminary experiments are done by applying the digital twin framework on a lab-scale case study and demonstrate the applicability of the proposed approach.