Every textile mill loses capacity somewhere between the hours on the calendar and the meters of first-quality fabric that ship. Most mills know their efficiency figure, and many review it every day. Far fewer can say exactly how many hours went to beam gaiting, warp breaks, waiting for yarn or seconds. A production loss tree breaks the gap into branches you can measure and fix, and you can see one built from live machine data in a short live demo.
Trace Every Lost Hour From Calendar Time to First-Quality Output
iFactory builds a production loss tree for every department from machine signals and stop reasons. It shows how much time goes to downtime, speed, minor stops and quality, and which branch is worth attacking first.
One Number Hides the Losses. A Tree Shows Where They Are.
A production loss tree starts with all available time at the top and subtracts each category of loss in turn, until only fully productive time is left. Each subtraction is a branch, and each branch splits into more specific causes. The result is a complete map of where capacity goes, with every hour accounted for. It is the logic behind OEE, laid out so the biggest losses stand out. Where OEE gives one percentage, the tree gives a list of hours with names attached, which is far easier for teams to act on. If you'd like a loss tree built for your mill, our support team can help.
From Calendar Time to Fully Productive Time
A typical loss tree has six levels of time and five loss branches between them. Each level is calculated by subtracting the branch above it, so the numbers always add up and nothing is counted twice. Definitions vary slightly between companies, so agree yours once and use them everywhere. The most common debate is whether planned stops belong inside or outside scheduled time. Keeping them inside, as a visible branch, gives the most useful picture. The structure below follows common TPM practice. You can see each level calculated automatically in a short demo.
One Air-Jet Loom, One Week, Every Hour Accounted For
The example below uses illustrative numbers for one loom over a week. Notice that no single loss looks dramatic, yet together they take more than a fifth of scheduled time. The figures show that speed and minor stops, mostly warp and weft breaks, are the biggest branch here, larger than breakdowns. We can build the same breakdown for your looms in a working session.
Let the Mill Build Its Own Loss Tree, Every Shift
iFactory captures run status, speed and stop reasons from every machine and assigns each minute to its branch automatically, so the loss tree is always current and nobody builds it in a spreadsheet.
What Sits Under Each Branch in a Textile Mill
The top-level branches are the same everywhere. What sits under them differs by department and by the type of machines in use. A useful loss tree breaks each branch into the specific causes your teams can act on, and gives each one an owner. Without an owner, a loss branch tends to be discussed every week and fixed by nobody. Our production specialists can help define the sub-branches for your mill.
- Doffing in spinning and winding
- Beam gaiting and knotting in weaving
- Count, style and yarn changes
- Planned maintenance and cleaning
- Mechanical and electrical breakdowns
- Waiting for beams, yarn or sliver
- No operator or weaver available
- Power and utility interruptions
- Warp and weft breaks
- Ends down and sliver breaks
- Yarn clearer cuts and splices
- Running below rated speed
- Fabric seconds and yarn faults
- Hard waste above standard
- Re-winding and re-runs
- Startup losses after changes
What the Largest Branches Usually Look Like in Other Departments
The same tree works across the mill, but each department tends to have its own dominant branches. Knowing what to expect helps teams sanity-check the first results and decide where to look first. These are typical patterns, not rules, so let your own data confirm them. Our production specialists can help interpret your first loss trees.
- Doffing time on frames without auto-doffers
- Ends down lowering effective spindle output
- Count changes and creel changes
- Speed reduced for weak roving
- Waiting for cops from spinning
- Yarn clearer cuts and splicing time
- Lot changes and package changes
- Re-winding of off-quality packages
- Yarn changes and structure changes
- Needle breakages and replacement
- Stops from yarn faults and lint
- Fabric holes and barre causing seconds
- Can changes and lap problems
- Breakdowns on critical bottleneck cards
- Waiting for blowroom feed
- Waste above the planned level
Six Steps to a Loss Tree Your Teams Will Trust
A loss tree is only useful if people believe the numbers. Supervisors know their machines well, and if the tree contradicts what they see every day, they will ignore it. These steps build that trust by agreeing definitions first, capturing data automatically and checking the result against what supervisors see on the floor. Starting with one department and getting it right is faster than rolling out to the whole mill at once. You can see this process applied to one department in a guided demo.
Drill Down Branch by Branch, Then Pareto the Causes
The loss tree tells you which branch is biggest, measured in hours rather than opinions. A Pareto chart within that branch tells you which few causes make up most of it. Working down the tree this way keeps improvement effort focused on the losses that return the most capacity, rather than the ones that are most visible. A dramatic breakdown gets attention, but thousands of short warp breaks often cost more hours in a week. Our support team can help set up drill-downs for your departments.
Four Ways Loss Trees Lose Credibility
A loss tree that people don't trust becomes another report nobody reads. Trust is built by accurate data, clear definitions and visible results from acting on it. These are the usual causes, and each one is avoidable. You can see how automatic capture prevents them in a short session.
Loss Tree Analytics, Machine Data and AI Server in One Package
iFactory delivers production loss analytics as a turnkey bundle. A pre-configured NVIDIA AI server ships racked and ready with the software pre-loaded. You rack it, plug in power and Ethernet, and the AI is live. To scope it for your mill, request a turnkey quote.
- Pre-configured NVIDIA AI edge server, racked and ready
- Machine connectivity for spinning, winding, weaving and knitting
- Loss tree levels and reason codes configured for your mill
- Cabling and plant network setup
- Loss tree, Pareto and trend dashboards
- Training for supervisors, engineers and managers
- 24×7 remote monitoring
Server installed, machines connected, levels and codes agreed.
Loss tree checked against floor knowledge in one department.
All departments live, weekly review routine started.
A Production Loss Tree That Builds Itself
iFactory turns machine signals and stop reasons into a live loss tree for every department, so improvement work always starts with the biggest loss. The tree refreshes as the shift runs, so supervisors can act before losses pile up. Our support team can review your current loss reporting before a pilot.
What Textile Production Teams Ask About Loss Trees
Know Exactly Where Your Mill's Capacity Goes
Build a live loss tree for every department, drill into the biggest branches, Pareto their causes and track improvements week by week. The full system is delivered turnkey and goes live in 6 to 12 weeks.
