Do the recall first, then the drive drill, then the outlier scenario, then build the real Riverside table. The last one is the deliverable you carry into Lesson 7, so give it your best swing.
A complete MTBH data set covers six things. Write all six from memory, then circle the two that get missed most, the two that decide whether you understood the product or just measured it.
Min, max, and average each drive a different part of the design. Write what each one sets, and name one specific decision that rides on it.
| Package | What it drives | A decision that rides on it |
|---|---|---|
| Minimum | ||
| Maximum | ||
| Average |
Read the scenario and answer in the boxes. There's no single right answer here, so defend your reasoning.
A customer's mix is 94 percent standard cartons and 6 percent oversized cases. Building for that 6 percent would push the conveyor two sizes wider.
What's the one thing you need to know about that 6 percent before you decide whether it belongs in the automated system?
Whichever way the answer comes back, what do you do with it, and how do you keep the decision the customer's?
Here's Dana's WMS product report again. Build the MTBH table from it: a minimum, typical, and maximum for every dimension, with the volume behind each. Then name your two outlier candidates and recommend an envelope. Read the volume column first.
| Product | Length | Width | Height | Weight | % Volume | Product Use |
|---|---|---|---|---|---|---|
| Small Case | 8" | 6" | 4" | 3 lbs | 4% | Packaged food |
| Standard Case | 13" | 9" | 3" | 12 lbs | 78% | All clients |
| Tall Case | 10" | 8" | 14" | 18 lbs | 12% | Apparel client |
| Large Case | 22" | 15" | 7" | 28 lbs | 6% | Housewares |
MTBH Table (fill from the report above)
| Dimension | Minimum | Typical | Maximum |
|---|---|---|---|
| Length | |||
| Width | |||
| Height | |||
| Weight |