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We use time-varying discrete event simulation on the entire sustainment structure such that we can examine end-to-end effects

~200,000 lines of input data

What happens…
If wholesale stock is increased? If depot repair times are shortened?

How many units will be ready?

Which items are likely to cause problems?

Which investment path meets DoD’s needs?

So how do we construct these models?