Value Packs / Manufacturing / Process Control Parameter Optimisation / Wisdom

Which production lines are running more defects than we expect today, and how many units is that across?

N
Done See how Wisdom analyzed this

One line is three times its own ceiling

IN A NUTSHELL

Three lines are running more defects than we expect today. Line 1 is far the worst — 18.4 defects per thousand units against a ceiling of 6.1, which is 758 defective units off that line today. Line 4 is at 8.1 against 6.0 for 232 units, and Line 2 at 7.3 against 6.4 for 269. Lines 3 and 5 are inside what we expect. A usual day on Line 1 gives about 206 defective units.

Defects per thousand units today against what we expect, and the units it cost

Defects todayAbove the ceilingTop of what we expectLine 1+12.3758 defective unitsLine 4+2.1232Line 2+0.9269Line 5−0.9116Line 3−1.71460.05.010.015.020.0

Each line is read against its own ceiling — Line 2 is expected to stay under 6.4 and Line 4 under 6.0, because the two run different products at different speeds.

Line 4 is 2.1 defects per thousand over its ceiling and Line 2 0.9 over its own — 232 and 269 units between them. Line 1 is 12.3 over, and 758 units, which is more than the other four lines put together.

Ask a follow-up

How has the defect rate on Line 1 moved day by day against what we expect? How has Line 4 moved day by day? Which lines are inside what we expect today?

How has the defect rate on Line 1 moved day by day against what we expect?

N
Done See how Wisdom analyzed this

It started yesterday and today is worse again

IN A NUTSHELL

Line 1 sat between 3.8 and 6.4 defects per thousand every day from 1 May to 19 May, inside what we expect of it. Yesterday it rose to 12.6 and today it is 18.4 — two days above the range, and today is half again as bad as yesterday. It moved 6.2 overnight against a largest ordinary overnight move of 2.3. The range is nearly level across the three weeks: the line runs continuously, so there is no quiet day to allow for.

Defects per thousand units by day, against the range expected · Line 1

0.05.010.015.020.020 May — 6.4 defects to 12.6 overnight1 May510152021 May, todayDefects per thousand unitsExpected range

The range is rebuilt each day from the days before it — flat across the three weeks, because a line running 24×7 has no quiet day for the range to bend around.

The two days together are 1,280 defective units where the same two days usually give about 420. Yesterday ran at 12.6 defects per thousand and today at 18.4, 5.8 higher.

Wisdom noticed

“That’s the second question in a row on Line 1. Shall I save it as your scope?”
Yes, save it as my scope No, ask me each time

Ask a follow-up

Which settings on that line were outside their normal range at the same time? How many units did Line 1 run on each of those days? How does Line 1 compare with Line 4 day by day?

Which settings on that line were outside their normal range at the same time?

N
Done See how Wisdom analyzed this

Two settings out of band, at the same time

IN A NUTSHELL

Two settings on Line 1 were out of band over the same two days. Curing zone 3 averaged 181 °C against a normal 166–174 °C, outside it for 31 of the last 48 hours. Wash tank 3 averaged 52 °C against a normal 58–64 °C, outside for 26. Every other setting on the line held inside its range throughout. This is what moved at the same time as the defects. It is not what caused them.

Line 1 settings against their normal ranges, over the last two days

Setting out of band on Line 1Its normal rangeAverage over the last two daysHours outside the range
Curing zone 3 temperature166–174 °C181 °C31 of the last 48
Wash tank 3 temperature58–64 °C52 °C26 of the last 48

Only the settings that went out of band are listed — the hours column counts how long each sat outside the range the line is meant to hold, out of the forty-eight since the defect rate rose.

Curing zone 3 ran 7 °C above the top of its range and wash tank 3 6 °C below the bottom of its. Both were outside for more than half of the two days. Nothing here shows that either one produced a defect.

Ask a follow-up

Put the line-quality report together. Which material lots ran while those settings were out? Which products were on the line at the time?

Put the line-quality report together.

N
Done See how Wisdom analyzed this

The report lists every batch run on the line over the last two days, with the defects found in it, the material lot it used and the setting readings logged while it ran. One row per batch, so a batch with a bad reading can be found against the units it produced.

XLSX

line_quality_21_may.xlsx

One row per batch, with its defect count and the settings logged during it. Five lines, and the nineteen days before this started for comparison.

74 KB · 412 rows · 5 lines · 21 days

Download

Ask a follow-up

Which batches used the affected material lot? Can I see this grouped by product rather than by line? Which shift and operator ran each batch? How many units did each batch produce?