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How to Estimate Garment Production?

How to Estimate Garment Production?


It is a very important question, because it is the basic knowledge about production management and each people who are working in production must know how estimated production is calculated.

Following article will clarify you the calculation procedure.

Production means total number of garment pieces produced by operators in a line or batch in a given time (for example: 8 hours day). Production is also termed as daily output. To estimate production following information is necessary.

a) Standard allowed minutes (SAM) of the garment. It means how much time is required to make one complete garment including allowances.

b) How many operators are working in the line?

c) How many hours line will work in a day?

d) Average Line efficiency level?

e) Total break time for lunch and tea.

Formula for production estimation -

Daily production = Total man minutes available in a day/SAM * Average Line efficiency

Total available man-minutes =Total no. of operators X Working hours in a day X 60

Suppose, SAM of the garment is 20 minutes, 30 operators line, works 8 hours shift day. Line works at average 50% efficiency. Operators get total 45 minutes for lunch and tea break.

So, Total available man minutes = 30 X (8 X 60 – 45) = 13050 minutes

Daily estimated production = 13050 /20 * 50% = 326 pieces

You can expect above output from that line if everything is gone well. You can see the production of a line is directly proportional to the line efficiency; no. of operators and working hours. And production is reverse proportional to the garment SAM. If efficiency of a line increases you can expect higher production. Similarly if SAM of style reduces at that also you can expect higher output.

Factors that hamper production:

Any one of the following can reduce production of assembly line. So to get estimated output, you have to take on the following areas.

i. Machine break down

ii. Imbalance line (WIP control)

iii. Continuous feeding to the line

iv. Quality problems

v. Individual operator performance level.

vi. Operator absenteeism