I have received this question many times from garment industry professionals, industrial engineers, and students. I did not have an answer to this question at that time. Also do not have the answer now.
But still, we need a number to refer to set-up MMR target for our factories. Many garment factories want to achieve the best in each KPI. For that, they look for the industry benchmark on the Man-to-machine ratio.
As I don’t have the answer, I will take the help of a Facebook group discussion on MMR data and try to conclude the industry benchmark on the man-to-machine ratio.
In this post, I will share some data on MMR that I found on a Facebook group discussion – IE Q&A. About 32 industrial engineers from Bangladesh and other countries shared the MMR of their factories.
Related post: How to calculate Man to Machine Ratio
Less the ratio better is
the factory performance in terms of the factory’s overhead costs. See the MMR ratio
provided by (Note: in the data there was
no standard formula used).
Table: Garment factory’s MMR
|
Respondents |
MMR (Man:Machine) |
Comments |
|
Respondent |
2.20 |
|
|
Respondent |
1.15 |
Woven |
|
Respondent |
1.25 |
Knit |
|
Respondent |
1.38 |
|
|
Respondent |
1.81 |
|
|
Respondent |
2.18 |
|
|
Respondent |
1.20 |
Marked |
|
Respondent |
1.80 |
|
|
Respondent |
2.20 |
|
|
Respondent |
1.90 |
Jacket |
|
Respondent |
2.23 |
|
|
Respondent |
1.70 |
|
|
Respondent |
1.70 |
|
|
Respondent |
1.70 |
|
|
Respondent |
1.70 |
|
|
Respondent |
1.81 |
|
|
Respondent |
2.10 |
|
|
Respondent |
2.36 |
|
|
Respondent |
1.29 |
|
|
Respondent |
1.18 |
|
|
Respondent |
1.33 |
|
|
Respondent |
1.40 |
|
|
Respondent |
1.78 |
|
|
Respondent |
2.25 |
|
|
Respondent |
1.80 |
|
|
Respondent |
1.75 |
|
|
Respondent |
1.65 |
|
|
Respondent |
1.40 |
|
|
Respondent |
1.50 |
|
|
Respondent |
1.80 |
|
|
Respondent |
1.39 |
|
|
Respondent |
1.70 |
|
|
Industry Average |
1.71 |
Credit for this datasheet
Conclusion:
From the above 32 responses, we can say the benchmark MMR of the garment industry is 1.71. We can further improve this Benchmark if we get more data from the industry. So, if you are interested, you can share your factory Man-to-machine ratio.

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