Our series: Supply Chain Simulation / Part 5
What distinguishes a digital twin from normal supply chain simulation models?
A digital twin of the supply chain is detailed enough to analyze supply chain interactions, from macroscopic changes in demand to processes within locations. It should enable features such as forecasting financial and item flows, identifying demand fluctuations, and testing scenarios.
Other features include:
- The twin uses live information, such as incoming shipping schedules, vehicle locations and inventory levels, to assess the current state of the supply chain and provide updated forecasts.
- It provides configurable notifications, alerts or alarms to inform you of critical situations, such as when service levels fall below predefined thresholds.
- The digital twin provides triggers that allow you to set up custom actions that take place automatically when certain events occur, such as potential shortages.
- You can develop action plans to help you manage critical situations and test those plans to ensure they are effective.
- A digital twin of the supply chain is part of a “bigger picture” – the simulation model integrates with your existing IT environment of databases and business intelligence tools.
Want to learn more? Register for our free web seminar on Jan. 27, 2022 from 11:00 a.m. to 12:00 p.m. at: