Knitting Time Calculator
© Textile Calculator Ltd 2010 – . All rights reserved.
Disclaimer: All calculators in the Textile Calculator have been reviewed by the relevant textile industry experts.
The Formula Used in the Knitting Time Calculator
The calculator uses a very simple formula:
Knitting Time = (Course Length × Course Count) ÷ (Machine Speed × Feeders)
This formula uses four basic inputs:
- Course Length: Length per course in meters.
- Course Count: Total number of loops or rows.
- Machine Speed: How fast the machine runs (meters per minute).
- Feeders: Number of yarn carriers feeding the loops.
All values are measurable on the production floor.
Table of Contents
What Is a Knitting Time Calculator?
A knitting time calculator shows how long it takes to complete knitting based on machine speed, number of feeders, course length, and course count. This tool supports accurate production planning. In knitting factories, every minute counts. That is why calculating time before starting helps managers save costs and avoid delays.

Why Knitting Time Matters in Textile Manufacturing
Knitting time affects fabric delivery, worker planning, and machine output. If you miscalculate time, you may waste yarn or fail to deliver. A small mistake in timing can affect the whole batch. That’s why production engineers rely on accurate time tracking before starting any order.
Time Directly Connects with Output
If a factory runs faster, it produces more fabric. If the factory knows how long it takes to complete a task, it can set targets. A clear target increases efficiency. Workers focus better. Supervisors manage better.
Knitting Time Affects Machine Load
If you don’t know the right knitting time, you may overuse one machine and leave others idle. That causes an unbalanced workload. A proper knitting time calculator solves this problem by giving a correct time estimation.
How to Use the Knitting Time Calculator
A calculator takes all values and gives the knitting time in minutes. This allows factory managers to plan shift schedules and manpower. The tool works well for single jersey, rib, interlock, and fleece fabrics.
Example for Practical Use
Let’s say:
- Course length = 1000 meters
- Course count = 5000
- Machine speed = 200 m/min
- Feeders = 24
Now,
Knitting Time = (1000 × 5000) ÷ (200 × 24) = 1041.67 minutes
That means the machine will need almost 17.36 hours to finish.
Default Inputs Save Time
If a manager does not know all values, the calculator uses average defaults. That helps them to get an idea of the approximate knitting time.
Who Uses This Calculator?
This tool helps multiple users in the textile field.
Production Managers
They use it to plan jobs and shift the load. A good time estimation keeps the line balanced.
Textile Engineers
They use it to measure actual output vs. expected time. This helps improve efficiency and reduce downtime.
Merchandisers
They use it to calculate production capacity before booking. A clear knitting time helps them talk clearly with buyers about delivery.
Industrial Engineers
They analyze process time and make improvements in the system. A correct knitting time gives them real performance data.
Benefits of Using a Knitting Time Calculator
Saves Time
Manual calculation takes a long time and may cause errors. This tool finishes it in one click.
Reduces Cost
If you plan knitting time properly, you avoid yarn waste, extra overtime, and power loss.
Improves Quality
A smooth plan reduces machine downtime and fabric faults.
Easy to Use
The calculator uses only four input fields. You don’t need training. Anyone can use it.
Future Scope of Knitting Time Calculation
In the future, factories may connect this tool with IoT devices. Machines can send live data to update time. That will make planning even faster. AI may also suggest the best feeder count or machine speed based on fabric type.
Final Thoughts
A knitting time calculator is a simple but powerful tool in textile manufacturing. It helps in cost control, target setting, and smooth production. Textile engineers and managers should use this calculator before each order. It increases clarity and improves decision-making on the production floor.
