Why to Develop Database for Learning Curve? (When You would not be Getting Repeat Order)

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Importance of developing database in garment manufacturing, while no repeat order can be expected.

On the post "How to Calculate Production Target and Worker’s Bonus on Initial Days of Production Start?", I am asked this question, "Is there any benefit of developing a database in such case where style does not repeat?"



This is a good question. And you should also know why one should develop a database when there is no chance of getting repeat order. In the following I have briefly explained the benefits of creating database. Though I have mentioned creating database for learning curve but this thing is true for preparing database for other areas too.

Based on Pareto's  principle (80-20 rule), you will find 80% similar operations in new styles, though you are not getting repeat order of a style (I am assuming that you will be working same product or similar product range). In production similar machines will be used to make the new styles - 80% machine will same as used in earlier styles. Also most of your sewing operators are same. So, don't think that in new styles you will be doing something completely different things.

Create database for daily efficiency figures (line efficiency as well as individual operator efficiency) for few styles during learning curve (initial days of production start of a style). If you look into the data you will find similar progress (trends) of efficiency after loading in most of the styles. 

If you go back to the post mentioned above, the purpose of making this database is to use for planning production target on the initial production days. And secondly planning incentive scheme for worker on those days. You have no other way but referring past data to plan things on the initial days.   

Secondly, later at any point of time you can look into database for analyzing performance of the line. Database can be used to compare with running orders. Comparison can be done in between sewing lines. By having study of a longer period (suppose 6 months to one year) you can set your benchmark for the learning curve.
To get more precise data, you can make separate database for each product. This data can be used for planning future orders.

Note: 
Here developing database means recording day wise operator efficiency and line efficiency for the complete style run and then making a separate report for initial production days up to learning curve. You can also make trend chart for every styles.

Learning curve:When a new style/product is loaded to a line, it reaches to maximum output after few days. As because on the initial days operator learn and build skill by doing job repeatedly. This duration is called learning curve. For example,  optimum output of a line is 500 pieces/day. 1st day it may produce only 100 pieces, 2nd day 250, 3rd day 450 and on 4th day onward it produces 500 garments. Same things applied to individual operators.

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Online Clothing Study: Why to Develop Database for Learning Curve? (When You would not be Getting Repeat Order)
Why to Develop Database for Learning Curve? (When You would not be Getting Repeat Order)
Importance of developing database in garment manufacturing, while no repeat order can be expected.
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