Simulation is a powerful tool on any modeling workbench. By stepping through individual orders that generate shipments and stimulate production, as they might happen in real time, simulation allows supply chain designers and analysts to really understand the impacts of proposed changes to a supply network.
The Supply Chain Guru simulation engine enables users to test supply chain designs to make sure they will function as planned in the face of real world variables and business needs. Based on the same supply chain model used for optimizing the network, the discrete event simulation (DES) engine helps users simulate real or forecasted demand over a time period in order to observe the new design’s performance and gather statistics like total product flow time, inventory levels, stock outs, and customer service levels, which can then be measured and analyzed.
- Enables designers to test a new supply chain design in a Supply Chain Guru modeling sandbox, before implementation in the real world
- Is based on the same supply chain model used for network optimization
Allows designers to understand and mitigate risks and bottlenecks that may occur due to lead times, demand fluctuations or processing time variations, which are not visible in an optimization model based on flows and averages