Technical Seminar: Practical Use of Data in Manufacturing Industry
Statistical Analysis Software JMP: Quality and Process Improvement Practiced by User Companies (Case Studies)
In the manufacturing industry, while a large amount of quality and process data has been accumulated, there are still many cases where its value is not fully utilized. In this seminar, we will present case studies from two companies that are working on data analysis and improvement activities using JMP. From Energy With Co., Ltd., we will introduce their efforts to utilize vast inspection data to connect quality assurance with quality and process improvement. Additionally, Atfields Technology Co., Ltd. will share their approach and key points for discovering issues and leading to improvements through practical data analysis using JMP. This presentation will be given by individuals who are actively engaged in data analysis related to product and technology development using JMP. We look forward to the participation of many people in this seminar, which aims to provide hints for utilizing data in manufacturing sites. 【Target Participants】 - Individuals involved in quality control, quality assurance, production technology, manufacturing technology, etc., in the manufacturing industry - Those who want to utilize quality data and process data to work on quality and process improvement - Individuals interested in data analysis and quality/process improvement using JMP (both JMP users and non-users are welcome)
Inquire About This Product
basic information
Date and Time: September 18, 2026 (Friday) 14:00 - 16:30 (Registration starts at 13:30) Venue: SAS Institute Japan, Inc. Tokyo Headquarters Address: 11th Floor, Roppongi Hills Mori Tower, 6-10-1 Roppongi, Minato-ku, Tokyo Nearest Station: Toei Subway / Tokyo Metro "Roppongi" [Program] 1. Unraveling the "Personality of Batteries"! Utilizing "Data Taken Without Permission" for "Proactive Quality" Kaoru Hasegawa / Kohei Shimada, Energy With Inc. 2. Why Can't We Find the Root Cause of Defects? - Data-Driven Improvement Practiced with JMP Ikumi Tsuji, Atfields Technology Inc. 3. Networking Event (Participation is optional)
Price information
Free (Pre-registration is required from the page below) https://www.jmp.com/ja/events/seminars/non-series/2026/09-18-manufacturing Capacity: 100 people (First come, first served)
Delivery Time
Applications/Examples of results
**Challenge** Energy With Co., Ltd. is a "proposal-based energy storage solution company" that comprehensively handles everything from the manufacturing and sales of storage batteries to operational proposals for customers. The storage batteries they handle significantly contribute to the efficient management of renewable energy. However, the renewable energy business utilizing storage batteries is still relatively new, making it difficult to analyze based on abundant past examples and archived data. Given this background, there arose a necessity to utilize statistical methods to propose efficient operations of storage batteries to customers. **Solution** The "operational data" and "inspection data" of storage batteries used in wind power generation were analyzed using JMP. Exploratory Data Analysis (EDA) was conducted to estimate battery life and detect abnormal degradation. **Result** Based on insights gained from the analysis, appropriate usage methods for storage batteries were proposed to customers, making it possible to extend battery life. Analyzing underutilized data helped build trust with customers and served as a catalyst for enhancing product satisfaction. ▼ For more details! https://www.jmp.com/ja/customer-stories/energywith
catalog（2）
Download All Catalogs
Company information
The JMP story goes back to 1989 when John Sall decided to combine statistical analysis capabilities with graphical visualizations to animate and visualize data. For more than 35 years now, John Sall has led JMP R&D, making each version of JMP more visual, more interactive, and more practical to help users understand their data. What started as a passion project has grown by leaps and bounds. It’s now a family of statistical software products designed with scientists and engineers in mind and used worldwide in nearly every industry.
