The Stratification within the quality management is the classification and grouping of the Data into categories that are smaller and have the same characteristics. The purpose of Stratification (Stratification) is to identify the factors cause a problem. To identify those categories which are the most influential on the issue we are considering, we need to use other quality analysis tools such as Pareto Charts or Diagrams Scatter.
Some examples of Stratification in the production of which such categorization:
- Type of damage
- The Cause of the Damage
- Products
- Model
- Machine
- Material (material)
- Man (operators who do it)
- Date of Production
- Supplier (Supplier)
- Work team or Group Work
- The location of the
- Production Shift
The steps of making the Stratification (Stratification)
The steps that are required in the Stratification (Stratification) is as follows:
- Determine the purpose of the implementation of the Stratification
- Specifies variables or the criteria that will be grouped
- Create groups and sub groups (if necessary)
- Place the factors into the appropriate group or subgroup
- In order to make the data easier to see, the stratification data better made into the shape of Pareto chart or Scatter Chart.
Examples of cases and how to create Data Groupings (Stratification)
A company that produces DVD Player has a high product failure rate is about 5% (5 units of DVD Player is broken at the time of the production process). Management of the company to form a cluster of quality control (GKM) to resolve the problems it faces. The first step the Working Group identified the cause of this is the GKM main occurrence of failure. Therefore, the gathered data production for last 1 month. From these data a single Stratification or clustering of the data.
The following are the successful data collected by the GKM working group:
No. | Defects | Causes | Responsible |
1 | Can not Playback | Motor Defects | Supplier |
2 | Can not Power ON | Wire not soldered | Workmanship |
3 | Can not Playback | Wire not soldered | Workmanship |
4 | Can not Playback | Motor Defects | Supplier |
5 | Can not Power ON | Solder Short | Workmanship |
6 | Display Dim | LCD Defects | Supplier |
7 | Display Dim | LCD No solder | Workmanship |
8 | Can not Playback | Wire not soldered | Workmanship |
9 | No Sound Output | Connector not soldered | Workmanship |
10 | Can not Playback | Motor Defects | Supplier |
11 | Can not Power ON | Solder Short | Workmanship |
12 | Can not Playback | Missing Wire | Workmanship |
13 | No Sound Output | Chips are Not soldered | Dipping Machine |
14 | Display Dim | Solder Short | Workmanship |
15 | Can not Playback | Wire not soldered | Workmanship |
16 | No Display | LCD Defects | Supplier |
17 | No Display | LCD No solder | Workmanship |
18 | Can not Playback | Solder Short | Workmanship |
19 | Can not Playback | Missing Component | Workmanship |
20 | Can not Power ON | Chips are Not soldered | Dipping Machine |
From the above data we can make Stratification or clustering of data into 3 categories i.e. based on type of Failure (Defects), the cause of Failure (Causes) or the person in charge (Responsible).
For example
The Company wants to GKM Groups classify data based on person in charge (Responsible) or party of its contribution to the failure of the production of the DVD player, then the data will be sorted so that the data becomes as below:
Responsible | Quantity |
Workmanship | 13 |
Supplier | 5 |
Dipping Machine | 2 |
For simplicity in decision making problem solving, Data is then got it into the form of Pareto Chart (how to create a Pareto Chart can be seen in the article: the sense of Pareto Chart and how to make it):
Pareto Chart of the easier we see that the greatest contribution the product failure is due to the problem of "Workmanship" or other workers who led to the failure of the product. The Working Group thus GKM should be able to take appropriate action in order to reduce the problems posed by the workers.
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