Digital twin
A digital twin is a virtual model of a physical asset, production line, or supply chain network that stays synchronized with the real thing through live data, so decisions can be tested in the model before being made in reality. The live link is the defining feature: a model refreshed quarterly is a snapshot study, not a twin.
Examples
Disruption rehearsal: A twin of a two-plant, 40-supplier network simulates a three-week port closure. Plant 2 stocks out of two SKUs on day 11; everything else holds. The team pre-books alternate routing for those two lanes only, instead of buying insurance everywhere.
Quoting new volume: Before committing to a customer's 30% volume increase, operations runs it through the factory twin. The constraint turns out to be anodizing at 92% utilization, not machining as assumed; a $140,000 tank addition closes the gap instead of a new machining cell. The commitment goes to the customer two weeks later with dates operations actually believes.
Definition
The idea grew up around equipment (a jet engine's twin accumulates that specific engine's operating history) and expanded to factories and then whole supply networks. What separates a twin from a one-off simulation is currency: a network design study builds a model for one decision and shelves it; a twin answers this week's question with this week's inventory positions and lead times.
Supply chain twins earn their keep on questions too expensive to test live: what a three-week port closure does to each plant, whether a new supplier's longer lead time breaks promise dates, where the bottleneck moves if volume rises 30%. These are capacity planning questions asked continuously instead of annually, and the twin can also host predictive models to simulate forward from forecasts rather than only from current state.
The hard part is not the modeling math, which is decades old; it is data freshness. BOMs, inventory, supplier status, and transit times have to flow in automatically, the same plumbing that powers supply chain visibility, and a twin that drifts from reality is worse than none because people keep trusting it. Start with one site or one product family, prove the feeds, then expand. The concept's path from vehicle programs to supply chains is a story of exactly that discipline.
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