How many days does fabric spend waiting rather than being processed?
Why your shades actually fail. How long fabric waits between processes. Which looms stop most, and for what.
Three mills. Each one was on schedule at every single process.
Shade variation between lots is the oldest problem in the trade. The customer notices before you do.
Dyeing recipes, machine, batch, operator and result all exist, on a card, in a book, in the dyer's head. So when a shade fails, the cause is discussed rather than looked up.
Recipe, machine, operator and result attach to the lot as it is dyed, so a failure points somewhere specific.
Weaving finishes. Then the fabric waits for the dyehouse. Then it waits for finishing. Then it waits for inspection.
Each wait feels small. Together they are most of your lead time, and none of them is anybody's responsibility because everybody's own process was on schedule.
When a process marks a lot complete, the next process sees it. Nobody has to send anybody a message.
Looms stop. Warp breaks, weft breaks, mechanical faults, no material. The weaver knows. The shift supervisor knows.
Nobody puts a month of stoppages next to each other, so a loom that stops twice as often as its neighbour keeps running that way.
Each stoppage is logged against the loom with a reason from your own list.
Every process was running to plan. The gaps between them were nobody planned at all.
Every batch. Every dye lot. Every metre accounted for.
This is how a print job moves through your business. Clicarity gives you live visibility at every phase, and flags delays before they become client calls.
What improves in textile businesses using Clicarity
Questions from textile businesses
See every batch. Every stage. Before the metre count goes wrong.
Book a free demo. We'll map your textile workflow live on the call.