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3.
Production
Process Characterization
3.3. Data Collection for PPC
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| Identify influential parameters. | Process modeling begins by identifying all of the important factors and responses. This is usually best done as a team effort and is limited to the scope set by the goal statement. | ||
| Document with black-box models. | This activity is best documented in the form of a black-box model as
seen in the figure below. In this type of figure all of the outputs
are shown on the right and all of the controllable inputs are shown on
the left. Any inputs or factors that may be observable but not controllable
are shown on the top or bottom.
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| Model relationships using fishbone diagrams. | The next step is to model relationships of the previously identified
factors and responses. In this step we choose a parameter and identify
all of the other parameters that may have an influence on it. This
process is easily documented with fishbone diagrams as illustrated in the
figure below. The influenced parameter is put on the center line and the
influential factors are listed off of the centerline and can be grouped
into major categories like Tool, Material, Work Methods and Environment.
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| Document relationships and sensitivities. | The final step is to document all known information about the relationships and sensitivities between the inputs and outputs. Some of the inputs may be correlated with each other as well as the outputs. There may be detailed mathematical models available from other studies or the information available may be vague such as for a machining process we know that as the feed rate increases, the quality of the finish decreases. | ||
| It is best to document this kind of information in a table with all of the inputs and outputs listed both on the left column and the top row. Then, correlation information can be filled in for each of the appropriate cells. See the case studies for an example. | |||
| Click on each of the links below to see the process models for each of the case studies. | |||