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More and more companies are looking to use the data generated in logistics processes to optimize their procedures. Human Digital Twin technology is becoming an increasingly important part of this. But how is a Human Digital Twin created? And what value can it bring to the warehouse?
Digital twins have been an intelligent tool for optimizing supply chains in logistics for several years now. These are highly accurate, virtual representations of the entire logistics process. The technology has its origins in the planning of new logistics systems. The digital twin now accompanies many logistics systems throughout their entire life cycle, from planning and construction all the way to operation.
Human Digital Twins offer many advantages in logistics and supply chain management. As they are based on real process data, they ensure a much more realistic and better understanding of processes. Objective data can be used to uncover errors and areas for improvement. Any changes to processes can be safely tested first in the Human Digital Twin, before being implemented in the real world. This proactively minimizes the risk of failures or downtimes in the logistic process. The Human Digital Twin also makes onboarding of new employees easier, as the training is based on digital empirical values.
In order to gain a virtual representation of the worker in the warehouse, logistics specialists first need to collect and use the data generated in the relevant process. We have integrated an analytics feature for this purpose in our business intelligence solution Picavi Cockpit. The feature serves as a central point for collecting, aggregating and visualizing all the important information. The data is collected by the sensors integrated in our pick-by-vision smart glasses and is continuously updated. This gradually creates a highly accurate and objective model of the warehouse worker.