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Supply chain implementation

Statistical issues in simulating the supply chain: Since random samples from input probability distributions drives a simulated supply chain model, basic simulation output data such as a computed performance metrics is also random. The following are some sources of randomness that have to be modeled into a supply chain. 1) Delivery time for a product. 2) Lead time for manufacturing. 3) Inventory SKU for a product. 4) Demand quantity for a product. 5) Demand orders for a product. 6) Time parts spend in the queue.

Last modified: Wednesday February 28, 2001

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