1. Anyone familiar with the specific process you are attempting to map can contribute to the process map or flow chart, however those with experience and/or understanding on how to capture this information and make it useful should be required to help in the mapping. The mapping process usually involves several members such as the process engineer, manufacturing engineer, quality engineer, and procurement/logistics just to name a few.
2. The two main types of data are variable and attribute. Variable data is measurable, precise, and constant. An example of variable data would be flow rate in a pipe monitored over certain intervals tracked and collected 24/7. Attribute data is more binary, it describes something as good/bad, or how many of this or that. An example would be how many times in a year does the pipe not flow the required volume of water?
3. A scatter diagram would be used to show the correlation of data based on two or more variables. This type of diagram will show you trends based on the relationship of the variables if there is a correlation. The interpretation of the data may differ from one viewer to another and common sense and close knowledge of the process must be used liberally when viewing this type of diagram. False trends or correlations can also happen depending on the data set size and interpretation.
1. Anyone familiar with the specific process you are attempting to map can contribute to the process map or flow chart, however those with experience and/or understanding on how to capture this information and make it useful should be required to help in the mapping. The mapping process usually involves several members such as the process engineer, manufacturing engineer, quality engineer, and procurement/logistics just to name a few.
2. The two main types of data are variable and attribute. Variable data is measurable, precise, and constant. An example of variable data would be flow rate in a pipe monitored over certain intervals tracked and collected 24/7. Attribute data is more binary, it describes something as good/bad, or how many of this or that. An example would be how many times in a year does the pipe not flow the required volume of water?
3. A scatter diagram would be used to show the correlation of data based on two or more variables. This type of diagram will show you trends based on the relationship of the variables if there is a correlation. The interpretation of the data may differ from one viewer to another and common sense and close knowledge of the process must be used liberally when viewing this type of diagram. False trends or correlations can also happen depending on the data set size and interpretation.