![]() Micro flow charts are used when you want to focus on a specific step within the process, and they typically use symbols that are more specific in nature. M icro flow charts zoom in on a specific step within the process. Macro flow charts are used when you want to get an overview of the entire process, and they typically use symbols that are more generic in nature. Macro flow charts show the high-level process as a whole. There are three main types of flow charts: Here’s a roundup of all the key flowchart symbols. Flow charts are used to visualize and improve processes, as well as to document and communicate them.įlow charts use a standard set of symbols, and it’s important to standardize the use of these symbols so anyone can understand and use them easily. They use special symbols to represent different steps in the process and the relationships between them. What are Flow Charts?įlow charts are a graphical representation of a process or algorithm. Since many folks consider flow charts to be one of the 7 QC tools, it is better to cover it in length here. That being said flow chart is also a very powerful tool and is a great tool to have in your tool kit. while Stratification is used to create categories (or strata) for the purpose of analyzing data. ![]() The flow chart is used to visualize the sequence of steps in a process, event, workflow, system, etc. However, F low charts and Stratification are two different tools that are used in Quality Control. Some lists of 7 QC tools use flow charts instead of Stratification. 2.And rectify problems in that machine to reduce rejection.ĭownload free template Flow chart vs Stratification Hence we need to look closer at the functioning and condition of Machine No. Once you have your data stratified, you can use see pattern in the data.įor example, for this problem you would see majority of defects are generated on Machine no. To stratify data using a table, first create columns for each category you want to track. There are several ways to stratify data, but the most common method is to use a table or spreadsheet. This would allow you to see how many of each type of car you produce, as well as compare the production of different types of cars. sedan, SUV, sports car), by color, engine size, etc. You could stratify the data by type of car (e.g. By identifying this problem, you can take steps to fix it and reduce the number of defective widgets.Īnother example of stratified data would be if you were a company that makes cars. You might find that most defects are due to a single type of problem, such as a loose screw. This would allow you to see how many widgets are defective due to each type of problem. Instead, you could stratify the data by type of defect. However, this would lump together all types of defects, and you wouldn’t be able to see patterns in the data. You could collect all of the data on defective widgets and calculate the average number of defects per day. You want to know how many defective widgets are produced per day. Example of Stratificationįor example, imagine you’re a manufacturing company that produces widgets. By identifying these problems, you can take steps to fix them and reduce the number of accidents. This could indicate a problem with the design of the car, or with the way that people are driving. This will allow you to see patterns in the data, and potentially identify problems that can be addressed.įor example, if you stratify car accidents by type, you might find that most accidents are due to rear-end collisions. Once you have stratified the data, you can then begin to analyze it. To do this, simply sort the items into different categories.įor example, if you were stratifying data on car accidents, you might sort them by type of accident (e.g., head-on collision, rear-end collision, sideswipe), by severity (e.g., fatal, serious injury minor injury), or by location (e.g., urban, suburban, rural). Once you have these things, you can begin stratifying your data.
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