The main challenges that Challenge Advisory was presented with was to meet the criteria of improving annual profit margins by 15-20%, reduce the average time it takes to manufacture a car model down to 12-13 hours and create a context where the client has all the visibility they need, that is directly related to how their customers are interacting with the manufactured products.
The approach that was taken by our Digital Twin experts in order to successfully implement Digital Twin Genie was divided into 5 steps. Those five steps included the delivery of the development kit that comes directly with the actual software, the installation of the solution in the internal computing systems of our client, bespoke sensor development, data collection & aggregation, and continuous guidance to deliver the expected results. The key challenges that were solved during this process included:
The plan of action that was executed during the 14 day period:
During the 2 week period that was dedicated to data collection and the implementation of Digital Twin Genie into the internal manufacturing processes, the results greatly exceeded our client’s expected outcomes. Here are the key achievements we managed to obtain via Digital Twin Genie:
The overall timespan than was needed to implement Digital Twin Genie took 14 days, the first 7 days being the most intensive time period due to data accumulation.