Nagoya Seminar Announcement! Utilizing Data for Quality Improvement with the Statistical Analysis Software JMP (10/30)
Although quality data and process data are accumulated, there are challenges such as "missing signs of abnormalities" and "being unable to identify the cause when problems occur." In the seminar, we will cover practical methods for quality management and cause analysis, introducing a data-driven approach to problem-solving. We will explain analytical approaches that can be utilized in manufacturing sites, from quality monitoring to cause exploration when problems arise, including demonstrations.
【Target Audience】
Quality management personnel in manufacturing
Production technology and process improvement personnel
Those who want to utilize process data and quality data
Those who feel challenges in cause analysis when problems occur
【Overview】
1) Taking Quality Management to the Next Step - Utilizing JMP Beyond Control Charts
Using quality management tasks as a theme, we will cover the flow from control charts and process capability analysis using JMP to cause exploration, as well as methods for sharing analysis results.
2) Data-Driven Cause Analysis and Quality Improvement
An analytical approach to efficiently narrow down the causes of problems using process data and quality data.
▼ Details & Registration
https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/10-30

| Date and time | Friday, Oct 30, 2026 02:00 PM ~ 04:00 PM The event will be held in person. There are no plans for a hybrid format with online participation or for archived streaming. |
|---|---|
| Capital | TKP Garden City PREMIUM Meieki West Exit 2F Sirius 1-6-3 Noritake, Nakamura Ward, Nagoya City, Aichi Prefecture, Belvue Office Nagoya 2nd Floor 5-minute walk from JR Tokaido Main Line / Nagoya City Subway Nagoya Station 5-minute walk from Kintetsu Nagoya Line Kintetsu Nagoya Station 5-minute walk from Meitetsu Nagoya Main Line Meitetsu Nagoya Station |
| Entry fee | Free Advance registration is required. Capacity is 40 people (first come, first served). |
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