Skip to main content

TCB Infotech | Expert Odoo & ERPNext Implementation Partner

Schedule Call With Us
Schedule Call With Us
Loom Health Scorecard

Is Your Loom Fleet Costing You More Than It Should?

A 5-Minute Health Check for Polysack Manufacturers

Most woven sack factory owners know when a loom has broken down. Very few know which looms are quietly underperforming every single day.

Answer these 6 questions honestly. Each one reveals a gap that could be costing you money right now.

Question 1: Loom-Wise Output Tracking
When your shift supervisor hands over at the end of a shift, does he report output per loom or just total shift output?
Why it matters: If you only see total output, a loom running at 70% efficiency is invisible. You only find out something is wrong when the monthly numbers do not add up.
Question 2: Rejection Tracking at the Machine
When a quality checker rejects a batch of bags, is the rejection recorded against the specific loom that produced it?
Why it matters: Without loom-wise rejection data, the same loom can cause repeated rejections across multiple shifts before anyone connects the dots.
Question 3: Tape Consumption vs Loom Output
Does your system match the tape consumed by each loom against the fabric it produced in the same shift?
Why it matters: Unmatched tape consumption is one of the biggest sources of unexplained raw material loss in polysack factories. A loom consuming more tape than it should will show up in your wastage number but nobody will know which loom is responsible.
Question 4: Maintenance History Linked to Performance
When a loom's output drops or rejections spike, can your team check whether a missed or delayed maintenance cycle happened around the same time?
Why it matters: Most unexpected loom breakdowns are preceded by small warning signs in production data. Without connecting maintenance history to output data, these signs are invisible until it is too late.
Question 5: Loom Stoppage Recording
When a loom stops mid-shift for any reason, whether for a mechanical issue, tape break, or operator error, is the stoppage time and reason recorded immediately?
Why it matters: Unrecorded stoppages create a false picture of loom efficiency. A loom that stops for 45 minutes every shift looks fully productive on paper but is actually running at 80% capacity.
Question 6: Real-Time Loom Dashboard
At any point during the day, can you or your production manager see which looms are running, which are stopped, and what each one has produced so far in the shift?
Why it matters: Real-time visibility allows problems to be caught and fixed within the same shift instead of the next day or week.

Your Score

First-option answers0

Count how many questions you answered with the first option.

5 to 6

Your loom tracking is strong. Small refinements could still improve efficiency and reduce wastage.

3 to 4

There are meaningful gaps in your loom data. Some wastage and rejection losses are happening that your current system is not catching.

0 to 2

Significant loom performance data is missing. Wastage, rejections, and downtime are costing you money that you cannot currently see or measure.

What Fixing These Gaps Looks Like

A polysack factory with 20 looms running two shifts a day generates a large amount of floor data every 24 hours. When this data is captured digitally and automatically, the factory owner can see:

  • Which loom produced the most wastage this week
  • Which shift has the highest rejection rate
  • Which loom is due for maintenance before it causes a breakdown
  • Where tape consumption does not match fabric output

None of this requires changing how the floor team works. It only requires capturing the same data they already record, digitally instead of on paper.

TCB Infotech helps polysack manufacturers set up loom-wise digital tracking without disrupting floor operations.

See how it works in 20 minutes →
TCB Infotech | ERP and Digital Systems for Manufacturing | tcbinfotech.com