JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Predictive and Specialized Modeling
• Process History Explorer
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Process History Explorer
Identify Problem Components in Complex Process Histories
Note:
The Process History Explorer platform is new and experimental. It is subject to change in future releases.
In complex manufacturing situations, such as in semiconductor factories, a defective tool or route combination might lead to poor yield or reduced quality. However, there might be hundreds of steps that a unit passes through that involve many different tools. It can be difficult to determine the exact combination of factors that leads to the poor yield.
The Process History Explorer platform organizes all of the production tracking data and enables you to identity factors that seem to be associated with poor yield. You can then perform stepwise regression. You can analyze the time that a unit spends waiting between steps or tools in the process and see how that waiting time is related to yield. You can also analyze the effect on yield of transitions from one tool to another.
Figure 21.1
Process History Explorer Report
Contents
Example of Process History Explorer
Launch the Process History Explorer Platform
Data Format
The Process History Explorer Report
Process History Explorer Platform Options
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Help created on 7/12/2018