1: What types of people should be included in making the Flow Chart or Process Map?
2: List 2 types of Data and explain the difference between each other.
3: Give an example of when a scatter diagram would be used.
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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 The Quality department
2. Attribute data and variables data. Attribute data is discrete meaning only integers, while variables data is continuous.
3. A scatter diagram would be used when there is a clearly defined independent and dependent variable.
It is useful to people familiar to the process as well as to those that have a need to understand the process. For my company it is usually the Quality department, then the Production supervisor and Production or Shipping. so Quality is usually tasked to understanding the Process and Production or Shipping are the experts in that given department.
Q2. Attribute data and Locational data. Attribute data is discrete, and the data values can only be integers. Answers questions like "how many?", "How often?" and "What kind?". Locational data, simply answer the question "Where?". Also often called measles or concentration charts.
Q3. If a product pump is running too long and overheating, then you could identify tolerance cycle time to keep this from happening.
flow charts should include receiving dept. quality. and producation
attribute data and variables data, attribute data is discrete and isnt as precise and variables, also attribute can only be integers
i would use a scatter diagram to compare variables when testing differnt type of factors on the line.