At the Logistics Solutions Fair 2024, we will showcase 'Worker Analysis AI' at the Prologis booth (Prologis booth number: 017).

DX transformation with operator analysis AI: Visualizing work processes and converting "tacit knowledge" into "explicit knowledge." We will streamline and optimize the manufacturing process!

We will clarify the tasks in manufacturing and logistics that are prone to errors and time-consuming, and achieve appropriate personnel placement, training, workload verification, and improvement of work mistakes. To this end, we will promote the digital transformation (DX) of operations, which can enhance productivity and quality. To address issues such as labor shortages and the transmission of skills, we will utilize the "Worker Analysis AI" to smoothly implement the SECI model (Socialization, Externalization, Combination, Internalization), promoting personnel training, efficient work, and knowledge sharing. The "Worker Analysis AI" strengthens corporate competitiveness and supports sustainable growth. **The Necessity of Converting Tacit Knowledge into Explicit Knowledge** In various operations, the experience of skilled workers tends to accumulate as tacit knowledge within individuals. Converting tacit knowledge into explicit knowledge offers the following benefits: - Standardization: Ensures consistency in work procedures and quality. - Efficient Training: Enables rapid training of new employees. - Knowledge Sharing: Shares knowledge across the organization, improving performance. - Risk Mitigation: Reduces risks associated with worker transfers and resignations. - Continuous Improvement: Promotes process improvements, optimizing efficiency and costs. *For more details, please refer to the "Related Catalog" and "Other Materials" and contact us.*

• Image analysis software

[For the manufacturing industry] Analyze and compare on-site work using AI video analysis – Identify bottlenecks and dramatically improve work efficiency with IE methods.

The "Operator Analysis AI" visualizes routine work on the manufacturing line using AI, enabling the understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. 【Optimal Operations】 - Comparison among operators: Improve consistency and efficiency of work using the ECRS (Eliminate, Combine, Rearrange, Simplify) method. - Creation of manuals: Promote the 3S (Sort, Set in order, Shine) principles. - Continuous operation: Review and optimize the 3M (Muri, Muda, Mura). 【Target Audience】 - Production Technology Department: For those aiming for process improvement and efficiency, promoting TQC (Total Quality Control) methods. - Production Management: For those wanting to accurately grasp cycle times and optimize production flows, supporting KY (Kiken Yochi) activities. - Quality Control: For those aiming to improve quality through the detection of work omissions and estimation of work loads. - DX Promotion Department: For those promoting digital transformation and aiming for work efficiency through IE (Industrial Engineering) methods. - Shipping Management: For those looking to enhance the efficiency and accuracy of the shipping process. You can view actual implementation examples and demos. *For details, please refer to the "Separate Catalog" and contact us.

• Image analysis software

In this seminar, we will briefly explain various methods and technologies for creating plastic molds using metal 3D printers, key points and considerations in manufacturing, and examples of fabrication. Following that, we will hear from leading users utilizing metal 3D printers from EOS, 3D Systems, Sodick, and Matsuura Machinery on advanced mold manufacturing technologies and examples, as well as factors for failure and secrets to success. First, we will discuss case studies that have achieved low-cost, high-quality manufacturing techniques and shortened lead times through complex shapes and integrated structures, hybrid manufacturing, and 3D cooling water pipe fabrication using EOS metal 3D printers at J-3D. Next, we will explain how ODEC has achieved overwhelming reductions in delivery times and cost savings in mold updates by manufacturing complex molds for resin molding with metal 3D printers, along with the latest fabrication examples and technologies for designing internal structures (3D water pipes), flow, and temperature simulations. Finally, we will provide specific explanations of how Sanko Gosei, a top player in the industry with its metal 3D printing capabilities for plastic mold manufacturing, has drastically reduced mold cooling times through 3D cooling water pipe fabrication, and how porous structures have effectively mitigated issues such as short shots and gas burn, as well as examples of reduced injection times.

In recent years, the costs of DX (digital transformation) have significantly decreased, and various examples of improving operational efficiency and automation in small and medium-sized manufacturing industries have emerged. One of the key points where DX has not yet progressed, but can achieve high efficiency at low cost, is the DX of the entire process from information collection and management on-site to application. In this seminar, we will introduce practical methods for promoting DX using two tools that can be actually utilized in the field of small and medium-sized manufacturing: the workflow system "AppRemo" that streamlines application approval processes, and the no-code tool "Platio" that allows for the creation of mobile apps to manage on-site operations. There is no need for complex system development or high investments. We will discuss specific plans for gradually advancing automation in an environment that can be easily operated by everyone on-site, along with case studies.

We will be exhibiting at FOOD Exhibition 2025, which will be held at Tokyo Big Sight from October 15 to 17, 2025. *The exhibition will take place within the booth of our partner company, Anritsu Corporation. We plan to showcase the taste recognition device TS-6000A on that day. Details are as follows: ◆ Event Details ・Date: October 15 (Wednesday) to 17 (Friday), 2025, 10:00 AM to 5:00 PM ・Venue: Tokyo Big Sight, East Hall ・Booth Number: To be determined (exhibiting at Anritsu Corporation's booth) ・Exhibition Content: Display and demonstration of the TS-6000A ・Official Website: https://www.food-exhibition.info/

This is a seminar hosted by our company that takes place every October. This year, three speakers will give presentations on the use of taste sensors and measurement examples. It has been decided to hold it on October 3rd. This year, it will also be held online (Zoom webinar). As soon as the details are finalized (around mid-September), we will announce the overview and open registration on our company website.

In the manufacturing and infrastructure industries, many on-site tasks such as maintenance, inspection, and testing still rely heavily on paper forms and manual data entry, with many sites not progressing in the digitalization and centralization of information. As a result, challenges such as "inability to grasp the on-site situation in real-time," "data being dispersed and not usable for analysis," and "input errors and omissions in forms" have become apparent. This webinar will introduce how to achieve digital transformation (DX) of on-site operations by rapidly building smartphone business applications using Asteria's no-code tool "Platio," and combining it with Morpho AI Solutions' AI-OCR, image analysis, and LLM technologies for the digitalization and automatic analysis of inspection sheets, photos, and reports. It is tailored for representatives of manufacturing and infrastructure-related companies who want to fundamentally change their on-site operations, escape from an analog culture, but find large-scale system implementation challenging.