Stock-out Simulator Lab: Passive Infra

1

Pick an item

Same items and numbers as the inventory policy lab

Data card

2

Set the policies

Drag the service target and the formulas fill in the three policies. Edit any number to try your own.

Target service level: 90.0% (Z = 1.28)

What can go wrong

Supplier delays. One order in four arrives 30% later than promised. The policies still assume the promised lead time. Demand surge. Demand runs 25% above what the policies were set for, for the whole year.

Cost of one unit short: 50% of its price (lost margin, expediting, penalty)

3

Run the simulation

Each year is a fresh random draw. 200 years gives a stable answer.

Show one year for: (Q, R) Periodic review Min-max

One simulated year

4

Your tasks

Checked against your latest 200-year run

5

Lab: stock-out simulator, reorder policy showdown

Pick an item

Data card

Set the policies

Run the simulation

One simulated year

Your tasks

Your policy recommendation