Getting a Handle on Optimizing Day-to-Day Process Manufacturing Operations

Are you a manufacturing engineer who supports day-to-day operations?  Do you need to launch an effort to understand and optimize your process, but don’t know where to start? Would you like a straightforward way to visually summarize and explore your manufacturing data and then dig into process capability and root-cause analysis to help improve the process?

In this session, we will demonstrate how to use key JMP capabilities that support day-to-day operations, provide process insight, help you solve problems, proactively address how to avoid small process excursions, and improve results. We will use the following steps to analyze and compare typical manufacturing processes for which we have yields, environmental conditions, financial information, manufacturing location, equipment and monitors.

• Use Graph Builder to evaluate and compare processes interactively using Box and Trellis Plots, Yield Graphs, Geographic Maps and Distributions.
• Understand process capability using Goal Plots and Process Capability Plots and create graphs that are easy to drill into.
• Use Control Chart builder to examine graphs and related statistics for processes in control or out of control.
• Locate and drill into sources of variability using Variability Gauge Charts and Fit Model graphs, summary statistics, and trade space analysis to find optimal settings.
• Find root cause of process deviations by applying interactive machine learning using Partition.

 Suggested Prerequisites:

• Some experience evaluating process data.