JMP

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 factor 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 during problem occurrences, with demonstrations included. 【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 factor analysis when problems occur 【Overview】 1) Taking Quality Management to the Next Step - Utilizing JMP Beyond Control Charts Using quality management tasks as a subject, 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 Factor 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

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 on the manufacturing floor, from quality monitoring to cause exploration during problem occurrences, with demonstrations included. 【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 during problem occurrences 【Overview】 1) Taking Quality Management to the Next Step - Utilizing JMP Beyond Control Charts Using quality management tasks as a subject, 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/2026/12-09

Aren't you just using the data obtained from experiments and prototypes to create figures for reports? In this seminar, we will confirm the features and basic operations of JMP's Graph Builder, and using data typically obtained in research, development, and design departments as examples, we will create commonly used graphs such as mean values with error bars, box plots, and scatter plots with regression lines. Additionally, we will demonstrate an approach that leads to new discoveries by switching conditions, which is difficult to achieve with spreadsheets like Microsoft Excel. Target Audience: - Engineers who regularly handle experimental or prototype data - Those who currently create graphs in Excel and feel challenged by the effort required for conditional comparisons and plotting Main Content: - Features and basic operations of Graph Builder - How to create graphs commonly used in research, development, and design departments - Utilizing features that promote new discoveries, which are difficult with spreadsheets - Customizing graphs and producing high-quality outputs Details & Registration: https://www.jmp.com/ja/events/live-webinars/non-series/2026/10-29-graph-builder