How Simulation Based Digital Twins Can Improve Factory Productivity
Manufacturing operations decision-making is challenging as rapidly changing technology drives diversified consumer needs and shortened product life cycles. To solve these issues can use of Factory Digital Twins, which consist of a physical model and a control model.
The Factory Digital Twins serves as an in-memory twin of the real factory and contains a dataset of properties and states for each component, allowing for a comparative evaluation of production operation rules, evaluation of the impact of changes in production decisions, decisions support by predicting future factory status, and improvement and optimization of production operation rules.