Announcement of a free webinar: A highly popular seminar where sales engineers share their on-site experiences, "What is the key to visualizing manufacturing processes?!" (8/10)

Real-time monitoring and control of individual manufacturing steps, assembly units, and the quality of finished products is possible!

maXYmos NC is a system that uses Kistler's servo press to control, monitor, evaluate, and digitize the joining and pressing processes. It displays the relationship between displacement values and load values as waveforms. －＊ Features ＊－＊－＊－＊－＊－＊－＊－＊－＊－＊－＊－＊－＊－ • Up to 128 independent judgment programs can be created • Each program can accommodate up to 10 different types of judgment criteria for online/offline use • Equipped with sequence control functions (sequencer) to ensure maximum flexibility • Achieves high-speed real-time communication with servo drives via the SERCOS III communication standard • Equipped with a rich variety of fieldbus interfaces for system control (PROFIBUS, PROFINET, EtherCAT, EtherNet/IP) • Historical data for analyzing the causes of NG judgments for the last 500 cycles • Statistical processing and digitization of measurement results (Q-DAS, CSV, PDF, XML)

• Other assembly machines
• Other process controls
• Process Control System

Anomaly detection in various processes. For example, by attaching a force sensor to the pressing machine, it can detect not only missing parts but even burrs on the side being pressed!

maXYmos TL is a unit that displays two interrelated measurements as waveforms on an X-Y diagram and monitors the manufacturing process based on those waveforms. It is also capable of displaying sensor signals as waveforms over time and monitoring based on those waveforms. maXYmos TL comes with numerous criteria (thresholds) for judgment, enabling in-process monitoring that caters to various manufacturing processes. 【Features】 - Built-in amplifiers for piezoelectric and strain gauge sensors - Supports encoder signals - Display and operation via a 10.4-inch touch panel color display - Offers many criteria (thresholds) for pass/fail judgment - Allows setting of up to 10 pass/fail criteria - Can connect up to 8 monitoring modules to a single display module - Compatible with CC-Link

• Other assembly machines

[Instructor] Paulstar Communications Inc. Representative Director Koji Kita [Key Lecture Content] Have you ever felt that, despite entrusting work to Generation Z and young employees, they "don't seem to get started," "don't lead to the expected results," or "it's ultimately faster to do it myself"? Behind these situations are various factors, including the recognition gap between supervisors and young employees regarding "entrusting and being entrusted," how to communicate the purpose of the work, the approach, and the scope of discretion, as well as how to follow up after delegating tasks. In this seminar, we will practically explain "how to delegate work" to elicit proactive behavior, taking into account the perspectives and behavioral characteristics of Generation Z and young employees. We will share specific management techniques to help supervisors break free from the burden of work, encourage the autonomy and growth of young employees, and steadily lead to results.

[Speaker] Yoichiro Okuyama, Senior Researcher, Research Department, Hamagin Research Institute, Inc. [Key Lecture Content] In China, the operation of autonomous taxis began in 2021, and now fully unmanned robo-taxis are running in cities like Beijing and Shenzhen. Experiencing a ride reveals the evolution of technology through natural acceleration, smooth steering, and seamless deceleration. Currently, there are several thousand vehicles in operation, but projections suggest that by 2030, this number could exceed one million, accounting for 70% of the global total. What are the underlying factors driving the social implementation of robo-taxis in China? By incorporating local test ride experiences, we will analyze the revenue situation of robo-taxi operating companies and the outlook for market expansion based on data, exploring their future potential. [Lecture Items] 1. Personal experiences of test riding robo-taxis in China 2. Trends in the market size of robo-taxis in China and globally 3. Background of the advancing social implementation of robo-taxis in China 4. Public acceptance and actual usage 5. Performance and challenges of major robo-taxi companies 6. Will robo-taxis become widespread in Japan as well? 7. Q&A / Business card exchange

Daitō Shikō Co., Ltd. will exhibit at the "102nd Tokyo International Gift Show Autumn 2026," which will be held at Tokyo Big Sight from September 2 (Wednesday). At the exhibition venue, we plan to showcase new products including the A7 binder, popular foil-stamped goods, stationery, clear files, and more. If you are looking for SP tools, promotional items, or novelties, please be sure to visit our booth.

Our company will participate in the 1st High-Performance Materials Exhibition (within High-Performance Materials Week) as a member of the MGC Group. We will be showcasing various functional polycarbonate resins that can serve as alternatives to metals and ceramics, so please be sure to visit our booth.

In the health and medical fields, which are directly connected to people's lives, it is essential to carefully interpret the results of data analysis and utilize them in decision-making. This seminar will first introduce basic analytical methods using JMP 19 and explain the contexts in which each method can be applied. Next, we will discuss the thought process for making causal interpretations, such as "Did a certain treatment improve the condition?" and how to estimate causal effects using JMP Pro 19. - Comparison of results before and after treatment using paired t-tests - Group comparisons using t-tests - Group comparisons considering pre-treatment values through analysis of covariance - Distinguishing between correlation and causation - Estimation of causal treatment effects This seminar will introduce these basic analytical methods with demonstrations. Those without statistical expertise and those unfamiliar with JMP are also very welcome. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/09-11-health-medical-data