In this VUCA era, competitiveness is largely determined by the ability to continuously respond to complex situations.
By repeatedly "prototyping/testing, evaluating, and improving" in the digital space, and then implementing optimal measures in the real world whose effectiveness, cost, and risks have been verified, precise decision-making can be carried out cheaply, safely, and quickly.
Digital Twin Mobius
Double-loop decision-making using digital twins
Setup: Preparing and adjusting the execution environment
In the digital space, simulation preparation and adjustment
In the real world, preparation and adjustment of products, equipment and processes
Visualization: Obtaining and understanding execution results
In the digital space, we visualize what will happen if we do something using the results of multiple simulations.
In the real world, "what is happening now" is visualized from data observed from actual equipment and facilities.
Analysis: Calculating KPIs such as effectiveness, costs, bottlenecks, and risks
In the digital space, KPIs are predicted in a hypothetical situation set up through simulation.
In the real world, KPIs are calculated for the actual equipment and facilities that acquired the observation data.
Action: Improve and optimize measures
Digital space: Discover better/optimal measures through trial and error simulations
Real space: Identify targets for improvement and optimization based on execution results under various real-world disturbances
Action: Coming and going between two spaces
Digital → Reality: Implementing discovered improvements and optimal measures in the real world
Reality → Digital: Feedback of product, equipment, and process characteristics, including environmental changes and disturbances
By properly constructing these steps and circulating them in both real and digital spaces, it becomes possible to inexpensively, quickly, and easily consider the measures necessary for decision-making.
You can download it from the link below.
Coming soon
Comment