![\"Workers](\"https:\/\/tiiocti.com\/wp-content\/uploads\/2026\/01\/tiiocti-factory-7.png\")
<\/p>\nLate bag deliveries rarely start as dishonesty. They start as a capacity gap: the factory promised a 30,000-piece order in three weeks, but its sewing lines were already booked, its cutting room could not feed the machines, and nobody checked until the packing list was due. A buyer who verifies factory capacity before signing the order can predict most of these failures weeks in advance.<\/p>\n
This guide shows how to check factory capacity with real questions, simple math, and audit steps that work over email before you spend money on a visit. The goal is one number: how many bags can this factory actually deliver by your deadline, given what it already has on its floor.<\/p>\n
Every factory can claim capacity. The salesperson quotes “200 sewing machines” or “1 million bags per month,” and the number sounds impressive until you ask which lines are running for your product. A woven PP moving bag and a canvas tote use different machines, different thread, and different labor skills, so a factory’s total machine count says little about its capacity for your specific bag.<\/p>\n
Capacity claims fail in three predictable places. The cutting room runs out of fabric because raw material arrived late. The sewing lines run at half speed because workers were reallocated to a bigger customer’s order. The packing section becomes the bottleneck because every bag needs folding, poly-bagging, and carton packing that nobody planned for. The factory’s quoted capacity describes the best day, not the average week.<\/p>\n
The fix is to verify factory capacity the same way an auditor does: count what exists, measure what it produces, and compare the math against your deadline. That process takes an hour of email time and turns a vague promise into a testable number.<\/p>\n
Start with the production line, not the machine count. Ask the factory how many dedicated sewing lines can run your product type, how many workers sit on each line, and what the actual daily output per line was for the last three orders. A line of 12 workers producing 2,500 tote bags per day is a different resource than a line of 8 workers producing 1,200.<\/p>\n
Build the simple math from there. Twelve lines at 3,000 bags per day each give 36,000 bags per day of theoretical capacity. A 30,000-piece order fits in one day of theoretical capacity, but real lines run at 70 to 85 percent efficiency, so the honest planning number is closer to 25,000 to 30,000 bags per day, and that assumes cutting and packing keep up.<\/p>\n
Ask for the output numbers in writing, then cross-check them against the factory’s own delivery history. A factory that shipped 50,000 bags to a customer in June can prove the line output it claims. A factory that answers with “we can do it” and no reference order is asking you to trust the number instead of verify it.<\/p>\n
<\/p>\n
One shift or two changes the capacity number by a factor of two. Ask the factory how many shifts its sewing department runs, and whether the second shift is fully staffed or a partial crew. A factory that says “two shifts” but runs the second shift at 60 percent staffing is really running 1.6 shifts, and the difference shows up in your delivery week.<\/p>\n
Peak season makes shift counts unstable. Bag factories fill their calendars from August through November as retailers stock for the holidays and moving season orders overlap. A factory at 90 percent booked capacity in September will quote your October order with confidence and deliver it late, because every line is already promised. Ask for the current booking percentage, not the average for the year.<\/p>\n
Overtime is the other variable. Factories absorb overflow with weekend overtime, but overtime burns out workers and raises defect rates. When a factory needs more than 20 percent overtime to fit your order, treat the schedule as high risk and add a buffer, because one fabric delay or one QC rework day will push the shipment past your deadline.<\/p>\n
The cheapest capacity test is the sample. Ask the factory how many days a pre-production sample takes, and time the response. A factory running at comfortable capacity delivers a sample in 7 to 10 days. A factory whose lines are overloaded stretches sample delivery to 15 or 20 days, because samples jump the queue and the queue is already long. Sample lead time is the factory’s own capacity meter.<\/p>\n
The second test is the booking question. Ask for the factory’s current order schedule in weeks, meaning how many weeks of confirmed production it already holds. Two weeks of booked production is normal. Eight weeks of booked production means your order goes into a queue, not onto a line, and your deadline needs to include the queue.<\/p>\n
Watch for the reply that avoids both questions. “We will arrange production after your deposit” is not a capacity answer. A factory with real capacity names the line, the week, and the daily output for your order. A factory without it names the deposit. A factory tour<\/a> settles the rest: a walk through the sewing floor shows whether the lines, the workers, and the material stacks match the numbers in the email.<\/p>\n Put the answers into a worksheet before you compare quotes. The worksheet needs six numbers: your order quantity, the factory’s daily output for your product type, the number of production days left before your deadline, the booked capacity percentage, the sample lead time, and the buffer days you want. The formula is simple: available days times daily output times the unbooked percentage, minus a 10 percent buffer, must exceed your order quantity.<\/p>\n![\"Rows](\"https:\/\/tiiocti.com\/wp-content\/uploads\/2026\/01\/tiiocti-factory-37-scaled.jpg\")
<\/p>\nCapacity Math With a Simple Worksheet<\/h2>\n
![\"Skilled](\"https:\/\/tiiocti.com\/wp-content\/uploads\/2026\/01\/tiiocti-factory-15-scaled.jpg\")
<\/p>\n