Digital Twin Technology for Global Supply Chains
Virtual models can help organizations monitor physical operations and test scenarios.
The Mechanism: A digital twin is a computational representation of a physical asset or process, updated with operational data. Supply-chain twins can model inventory, shipping, or production, but their accuracy depends on data quality and assumptions.
The Philosophical Pivot: A model gives managers a view of a system that no person can observe in full. That view can clarify dependencies while making uncertain lives and local conditions appear as variables to optimize.
The Horizon: Digital twins may improve resilience if they reveal fragility before disruption. They may also centralize control over workers, suppliers, and communities whose knowledge is not represented in the model.
A simulation cannot contain every contingency. Its value depends on whether decision-makers ask who is missing from the data and how quickly the model can be corrected.
The future of supply chains will be shaped by what organizations choose to measure and by whether people affected by those measurements can contest them.
A model of the world is also a decision about which parts of the world count.
Which realities disappear when I treat a system's digital model as more complete than the people living inside it?