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[Reforming Manufacturing Sites] "Invisible Inventory" and "Manual Errors" Solved by AI! The Cutting Edge of DX in Inventory Management and Logistics Main Text: "Searching for where everything is takes too much time..." "Ordering based on experience and intuition leads to overstock and stockouts..." Do you face these issues in your manufacturing site? This document introduces the latest examples of automating inbound and outbound processing and achieving real-time visibility of inventory data by utilizing camera imaging, barcodes, QR codes, and AI! ▼ Three Key Points Explained in the Document Instant reading with batch imaging! Automate inbound processing and data updates to significantly reduce work time. AI automatically determines the optimal storage location! Eliminate waste in searching and moving, maximizing storage efficiency. [Case Study] A unified management model from procurement to the reuse of processed scrap in a plastic product processing factory. This is the definitive guide to DX that covers data integration with WMS and production management systems, ready for immediate application in the field. Please download and read it! ▼ Event Overview Date: October 9, 2026 (Friday) 13:30 - 14:30 Format: Online (Teams Webinar) Participation Fee: Free

"Even though the processing costs in the catalog are the same, there are products that somehow do not generate profit..." "We are unable to grasp the causes of machine stoppages (short stops and long stops) or the speed differences among operators..." The "invisible losses" lurking in the workplace may actually be significantly squeezing the factory's profits. This document explains a method to dramatically enhance the profitability and competitiveness of the workplace by automatically acquiring the "operating time" of processing machines and the "working time" of operators, and cross-analyzing them on the same time axis! ▼ What you will learn in this seminar 【Reduce equipment downtime】 Identify priority measures for short and long stops, significantly reducing machine downtime 【Highlight unprofitable products】 Calculate the "net actual cost" from equipment and personnel data, leading to evidence-based price negotiations 【Knowledge transfer and leveling】 Visualize the work differences between skilled workers and newcomers (e.g., screw tightening) to eliminate bottlenecks in the process 【Case study of a press processing factory】 A practical model from daily report automation to data collection using RFID and QR codes ▼ Event Overview Date: November 13, 2026 (Friday) 13:30 - 14:30 Format: Online (Teams webinar) Participation fee: Free

Due to the retirement of veteran engineers (the 2025 problem), control programs are becoming black boxes... There is no time to teach ladder diagrams to younger or new employees, nor are there learning opportunities in educational institutions... The 'personalization of programs and development burden' lurking in the field may actually be significantly hindering the promotion of DX in factories and productivity. This document explains the latest methods and practical models for accelerating and streamlining program generation, comprehension, and standardization in PLC program development in manufacturing using generative AI! ▼ What you will learn in this seminar 【Reducing the burden of control development】 The latest trends in automatic generation of PLC code and ladder diagrams using general-purpose LLMs, dedicated LLMs, and manufacturer-specific Copilots. 【Knowledge transfer and eliminating black boxes】 Analyzing and visualizing personalized legacy code and past assets with AI to achieve standardization of veteran know-how and reduce education costs. 【Compliance with language standards (IEC 61131-3 4th edition)】 Understanding the compatibility of ST language and ladder diagrams with AI, and presenting a practical workflow that can be used immediately in the field. 【Comparison of major vendors and case studies】 Introducing the latest AI features from Mitsubishi Electric, Siemens, Rockwell, and examples of Copilot integration.