Fabric Wastage in the Cutting Room: What 1% of Marker Efficiency Is Worth in ₹

Fabric is the biggest cost in a garment, so the cutting room is where an Indian unit wins or loses most of its material money. One point of marker efficiency saves slightly more than 1% of the fabric laid on that marker (at 80% it saves about 1.2%), which for a mid-size knit unit buying ₹2 crore of fabric a month is roughly ₹30 lakh a year. Markers aren't the whole story, though. End loss, end bits, splicing and re-cuts sit on top, and none of them show up in the CAD report.

Most owners know their marker efficiency, because CAD prints it on every marker. Far fewer know what happens to the fabric between that printout and the bundles going to sewing.

By the Mama Editorial Team. Mama scopes camera and floor-visibility projects for Indian factories. Last verified: 13 October 2026, against Apparel Resources and Online Clothing Study cutting-room articles and an April 2026 Tiruppur yarn-price report. The fabric prices and volumes in the worked examples are stated assumptions; replace them with your own purchase invoices.

Key takeaways

• One marker point is worth 1/(E+1) of the marker fabric, with E in percent. Going from 80% to 81% cuts fabric needed by about 1.23%, not 1%. The lower your efficiency, the more each point is worth.
• Markers are one of five buckets. End loss per ply, end bits, splicing overlap and re-cuts or part changes all sit outside the CAD number. A 2009 study of eight Delhi NCR factories found only 82% of purchased fabric used effectively, an old, small sample.
• Cameras see time and piles, not centimetres. A camera shows a spreading table standing idle, a lay waiting for the cutter and a re-cut heap growing. It can't read marker efficiency, ply count to the ply, or end loss per layer.
• The money test is a reconciliation. Fabric issued to cutting ÷ pieces sent to sewing, per order, compared against marked consumption. That gap is your cutting-room waste in metres or kilograms.

The five buckets of cutting-room waste

Fabric is 50–70% of garment cost, so every metre issued to cutting has to be accounted for. It leaves the room in one of these ways.

1. Inside the marker (marker waste). Pattern pieces never tile a rectangle perfectly. Marker efficiency is pattern area divided by marker area. Apparel Resources' cutting-room guide says efficiency "above 80% to 85% is considered good", and notes that it varies with pattern shape (bias skirts are worse) and with stripe and check matching. The same article makes a point that is easy to forget: a marker's efficiency describes that marker only, and "cannot be generalized for the entire order."

2. End loss. Each ply is laid a little longer than the marker so the cutter has a clean edge at both ends. Online Clothing Study cites an industry figure of 2–4 cm of cut allowance per layer, and works a simple example: 2 cm at each end is 4 cm a layer, or 4 m on a 100-ply lay. On a 6 m marker, 4 cm a ply is 0.67% of the fabric, gone before a single piece is cut.

3. End bits. A roll rarely divides evenly into marker lengths. Whatever is left at the end of a roll, shorter than the marker but often long enough for some garment parts, is an end bit. Online Clothing Study gives the arithmetic: a 61 m roll on a 5 m marker leaves about 1 m after the 12th ply. Planned, end bits go into short lays or replacement panels. Unplanned, they sit in a sack under the table until they are sold as katran.

4. Splicing overlap. Splicing lets you join a new roll mid-lay instead of starting a new ply. Online Clothing Study says an end bit can be laid as a splice if it covers at least one marker section. The price is the overlap at each splice line, which is laid twice. In a 2014 Bangladesh trouser-plant case, spreaders were trained to cut across the width and overlap plies, while CAD staff put splice marks into the markers. Planned splice marks save fabric; random overlaps waste it.

5. Re-cuts and part changes. Shade variation, a fabric fault found after cutting, a mis-cut panel or a rejected panel from the end-line all mean cutting the part again from new fabric. Apparel Resources lists "part change and rejection in sewing" among the losses between fabric bought and garments shipped. The endline side is covered in our piece on end-line DHU and the cost of alterations.

There is also a sixth leak outside the room: over-buying that becomes dead stock. In the NCR study, the allowances stacked up: about 10 cm on medium-size consumption for larger sizes, 3–5% for cutting wastage, 2% for shrinkage and defects, and another 5% for permitted over-shipment. The author, Roger Thomas of Methods Apparel Consultancy, put the result bluntly: of the fabric bought for an order, "only 82% is being used effectively". That programme, published in 2009, examined two orders in each of eight factories, and its 18% gap includes dead stock and unshipped garments, not just cutting. Treat it as a dated sample, not a national average.

Why one marker point is worth more than 1%

This is the step most marker explainers skip. The fabric a marker needs is the pattern area divided by efficiency. So if efficiency rises from E to E+1 percentage points, fabric needed falls by:

Saving = 1 − E ÷ (E + 1) = 1 ÷ (E + 1), with E in percent (so 1 ÷ 81 = 1.23% at 80%)

This assumes the same pattern pieces and fabric width; only the marker gets tighter.

The weakest markers are the cheapest saving. Apparel Resources notes that 80% of garments are often cut by 20% of the markers, so improving the few markers that carry the volume moves the number for the whole order.

Worked example: two Indian units, priced in ₹

Fabric prices move with yarn. In April 2026, Tiruppur knitting-yarn prices rose ₹10–12 a kg in a single day, with 20s combed going from about ₹265 to ₹277 a kg. Dyed fabric costs well above yarn. The figures below are assumptions for illustration only. Use your own landed fabric cost from last month's purchase invoices.

Unit A, Tiruppur knitwear (assumed): 2,000 kg of dyed cotton jersey cut a day, 25 days a month, at an assumed ₹420 a kg landed. Average marker efficiency 78%.

Unit B, woven shirts (assumed): 4,800 m of shirting cut a day (about 3,000 shirts at 1.6 m), 25 days a month, at an assumed ₹160 a metre. Average marker efficiency 80%.

The marker rows apply the saving to all fabric cut, a slight simplification. The last two rows never appear in the CAD report, yet together they are worth roughly another marker point. For scale, the Tarasima case reported at least 2% of fabric saved from better cut-order planning and CAD markers, alongside end-bit lays and planned splicing. That was one plant with its own volumes, so treat it as an example, not a benchmark.

For comparison, the labour-side lever is priced in what 1% of sewing efficiency is worth in ₹.

What a camera over the cutting room shows

A camera can't measure fabric, but time and piles explain a lot.

• Spreading tables idle or half-used. How many hours a day each table has a lay on it, how long a lay sits spread but uncut, and when the cutting machine is waiting for a lay.
• Lays waiting for the CAD printout or for fabric. A table set up with no marker on it, or a crew waiting for rolls from stores, shows up clearly on video.
• End-bit sacks and re-cut piles. A camera can show whether the end-bit bin is emptied into short lays each day or just keeps growing, and how often panels come back from the lines for re-cutting.
• Cut bundles waiting to go to sewing. Bundles stacked between cutting and the lines are cash on the floor. The cost of that is covered in bundles on the floor: the cash your WIP holds.
• Whether cutting can feed a new order. Hours of table use per day is the cutting-room input to the SAM capacity check for a big order.

Mount cameras above the lint, not in it. Cutting halls foul lenses fast, and the placement advice in textile factory cameras for Tiruppur's lint and dye houses applies here too.

What a camera can't tell you

Be clear about this before anyone sells you "AI fabric savings":

• Marker efficiency. That number lives in the CAD system (Gerber, Lectra, Tukatech, Richpeace or a manual marker). Video of a marker on a table cannot calculate pattern area against marker area.
• Ply count to the ply, and end loss in centimetres. A camera above a 100-ply lay cannot reliably count plies or measure a 2 cm overhang.
• Width loss. Whether the marker was made for the narrowest roll in the lot is a CAD and stores question. The NCR study found that grouping rolls by width could save a further 0.5% of an order's fabric, and none of the eight factories were doing it.
• Kilograms or metres wasted. Only the reconciliation gives you that. Take fabric issued to cutting, divide by pieces sent to sewing, and compare that with marked consumption for each order. Apparel Resources calls the first ratio the cutting room's "achieved consumption".
• Why a panel was re-cut. The camera shows that re-cuts happened and roughly how often. The reason (shade, fault, mis-cut, sewing damage) has to come from the re-cut register.

The camera shows where the hours went; the CAD report and store ledger show where the fabric went.

A Monday routine for the cutting master

1. Print the marker efficiency for every marker on running orders and sort it. Start with the lowest ones that carry the most plies.
2. Run a reconciliation on two live orders: fabric issued, pieces cut, pieces sent to sewing, end bits returned to stores, re-cut fabric. The difference between achieved and marked consumption is your out-of-CAD waste.
3. Measure end loss on three lays with a tape, and agree a per-ply allowance for each fabric type.
4. Make end bits a planned input, with a daily short-lay marker built from the end-bit bin before new rolls are opened.
5. Start a re-cut register with the reason for each one, reviewed weekly with quality.

Where Mama fits

The cutting-room figures that matter most are paper figures: marker efficiency, achieved consumption, the re-cut register. What owners rarely see is the time behind them. Mama reads the cameras you already have, or ones placed for the job, and each morning sends the owner a short note on where hours leaked yesterday: spreading tables standing empty, lays waiting for the cutter, bundles queuing for the lines. It watches tables, machines and the flow of work, not individual workers. Counts are aggregated, and your workers should get a proper notice under DPDP (see the worker CCTV notice template). To find out what that would show in your cutting room: Leave an email or phone in the form below, and Mama will get back to you with a camera plan and a proposal.

FAQ

What is a good marker efficiency for an Indian garment unit? Trade guidance treats 80–85% or above as good, but it depends heavily on the style. Bias-cut pieces, stripe and check matching, and one-way prints all lower the achievable number. Compare markers for the same style and fabric, not across styles.

How much is 1% of marker efficiency worth? About 1 ÷ (E+1) of the fabric laid on that marker, roughly 1.2–1.3% at typical efficiencies. On the assumed volumes above, that comes to about ₹28–32 lakh a year for a mid-size unit.

Can cameras measure fabric wastage directly? No. Cameras show idle tables, waiting lays, and growing end-bit and re-cut piles. Wastage in metres or kilograms comes from CAD marker reports and an issued-versus-cut reconciliation for each order.

Where do re-cuts usually come from? Usually from shade variation between rolls, fabric faults found after cutting, mis-cuts, and panels damaged or rejected in sewing. A re-cut register with the reason for each one shows which of these is driving yours.