Why bother with a digital twin?

摘要

"What if" analytics run on actual plant data is key to more effective decision making. Decision cycles across industrial environments are becoming increasingly disrupted by proliferation of data, new data sources, and compute speeds within an increasingly volatile business environment. The digital twin is the key to effective decision making in this new world. Making better decisions, faster, that can be executed perfectly every time is vital for delivering superior results, sustained. However, this is easier said than done. Every individual perspective is underpinned by a series of unique cognitive biases that drive swift action in adversity but make accurately weighing evidence, assessing probabilities, and deciding logically a challenge. Look no further than the constant discrepancy between strategic planning/ambition and results realization (figure 1).