Notice of Participation in the "6th Smart Factory EXPO: Manufacturing Innovation Exhibition through IoT/AI/FA" by Ito Shokai.

Case Study on the Utilization of Manufacturing Execution System (MES): "Identifying Issues in Job Shop Processes"

I want to promote digital transformation (DX) in the manufacturing site. However, "I can't envision how to utilize the data..." "I have the data, but I'm not able to use it effectively..." Many people may have such concerns, right? In this article, for those considering how to utilize the collected and accumulated data, I will introduce a case study on identifying issues in job shop processes using data from the Manufacturing Execution System (MES).

• Production Management System

The manufacturing execution system ProManageMES enables a factory resilient to change through visualization of the manufacturing site!

Three Features of the Manufacturing Execution System ProManage MES [Feature 1: It can be implemented with a small start!] Depending on the factory's situation and budget, the system can be flexibly implemented with only the necessary functions at the right timing. Additionally, with the release of the cloud version of ProManage in February 2021, it has become more affordable to start small. [Feature 2: It is a management-oriented, overall optimization system!] This system is in line with the Industry 4.0 concept, with many successful implementations in Europe, including Germany. Based on international standards (ISA-95 and ISO22400), it allows for smooth data integration between factories and with overseas ERP systems. [Feature 3: It supports the establishment of a resilient manufacturing system!] This system quickly responds to various external changes such as the COVID-19 pandemic and digitalization, while maintaining and strengthening the improvements in QCD that have been pursued in Japanese manufacturing for many years.

• Injection Molding Machine
• Production Management System
• Other production management systems

Addressing diverse on-site challenges and data analysis needs! Anomaly detection solution Impulse.

Reasons to Choose Impulse 01 Responds to diverse challenges and data analysis needs on-site 02 Full support from data analysis to model operation 03 Easily create and operate machine learning models with auto-modeling features 04 Over 21,000 models operated for more than 100 companies

• Database
• Business Intelligence and Data Analysis
• Other information systems

Three Key Points of Digital Transformation in Manufacturing Industry

From the time when it was surprising for each person to have a mobile phone, we have now entered an era where having a camera on a mobile phone and using a smartphone that can be operated with just one screen has become completely normal. Amidst the remarkably rapid pace of technological innovation, various industries are focusing on "digital transformation." In the manufacturing sector, there is a need for flexible responses to various environmental changes such as "the arrival of an era where products do not sell," "diversification of customer needs," "labor shortages," and "the impact of COVID-19." To address this, "digital transformation in manufacturing" is essential to build a manufacturing system that is resilient to change through the digitalization of the manufacturing industry. In this article, we will explain key points for advancing digital transformation in manufacturing, including "clarifying objectives and goals," "starting small," and "combining visualization and response."

• Production Management System

The latest published paper utilized Abby. This will be an online seminar featuring Associate Professor Yosuke Katsuta from the Graduate School of Advanced Science and Technology, Kumamoto University, who is also a co-founder of StapleBio. He is working on RNA hacking technology development aimed at altering the higher-order structure of target mRNA using short nucleic acids named Staple nucleic acids, with the goal of controlling gene expression. He will present the latest data focusing on the results of cell experiments and animal experiments in the development of this technology. Related paper on the lecture content: "Staple oligomers induce a stable RNA G-quadruplex structure for protein translation inhibition in therapeutics" | Nature Biomedical Engineering

Are you casually adopting AC adapters just because they are cheap? AC adapters carry inherent risks of electric shock and smoke or fire hazards, and incidents of fires due to design flaws from choosing low-cost products have occurred. When accidents involving electric shock or smoke and fire occur, not only do they lead to significant costs for post-incident handling and recall responses, but they also result in a decline in brand image, which can severely impact management. Therefore, it is essential to eliminate defect risks at the adoption stage. In this webinar, we aim to provide insights for evaluation during the adoption process by introducing case studies of market failure analysis of AC adapters that our company has experienced over the past several decades. We explain the content as simply and clearly as possible, so even those without prior knowledge of AC adapters are welcome to attend.

[Speaker] Shota Imai, President and CEO of GenesisAI, Inc. / Visiting Professor at the Graduate School of Advanced Science and Technology, Hokuriku University [Key Lecture Content] Generative AI is likely the greatest technological revolution in human history. As of 2025, generative AI possesses knowledge comparable to that of PhD holders and is capable of generating moving images that take physical laws into account. Furthermore, generative AI, which was previously focused on content generation, has evolved into AI agents capable of handling lengthy and complex tasks, enabling automation in research, software development, and scientific inquiry. While there are significant economic benefits from increased productivity, the concern of "losing jobs to AI" has become a realistic issue. This lecture will explain the outlook for the development of these AI technologies and their impact on society based on research conducted as of 2025. [Lecture Items] 1. Latest Research on Generative AI 2. Latest Research on AI Agents 3. Physical AI and World Models 4. Future Prospects for AI Development Based on Scaling Laws 5. AI for Scientific Research 6. AI and Labor 7. Q&A / Business Card Exchange

[Key Lecture Content] 1. Research and Development of NTT's LLM "tsuzumi2" NTT Corporation Human Information Research Laboratory, Thought Processing Research Project Group Leader: Kuniko Saito 1. Objectives of "tsuzumi2" Development 2. Key Points of "tsuzumi2" Evolution 3. Introduction to "tsuzumi2" Utilization Images 4. Q&A / Business Card Exchange 2. Business Trends of NTT's LLM "tsuzumi2" Research and Development Marketing Headquarters, Marketing Division R&D Marketing Manager: Ichiro Kudo 1. Market Trends and NTT's Initiatives in AI Business 2. Areas of Utilization and Applications of "tsuzumi2" 3. Collaborations with Partners for "tsuzumi2" 4. Key Points for Practical Utilization 5. Q&A / Business Card Exchange

Daitron will host a webinar with Professor Yamamoto from Nagoya University’s Institute of Future Materials and Systems on the topic of "The Capabilities of Chinese EV Manufacturers in Electric Vehicle Design and the Technological Strategies the Japanese Automotive Industry Should Adopt Against Tesla's Pioneering Efforts." We sincerely look forward to your registration.