❸Production management❻Delivery❺Automated production line❹SupplierPurchaseorderShippingLinkagePurchaseorderOrderCore system (sales)AutomationSmart Factory Database DX Examples in the Research & Development DivisionWithin the Research & Development Division, the Innovation Promotion Department, established in April 2022, has been leading the charge on DX. By the end of the fiscal year ended March 31, 2025, the foundational infrastructure for various systems and tools was largely completed, and the division is now entering a full-scale phase of utilizing technologies such as machine learning and AI. One notable outcome is a new label material product launched in March 2025, which showcases the use of machine learning tools in product development. The central challenge in developing this product was achieving an optimal balance between adhesive strength and removability to enable repeated use. By leveraging machine learning to analyze how different DX Examples in the Production DivisionIn the Production Division, LINTEC is working to fully redesign its processes across manufacturing, quality inspection, and indirect operations by integrating DX throughout the value chain. This initiative is partly driven by the broader social context of Japan’s declining and aging population, which is making workforce recruitment increasingly difficult. At the same time, it also reflects a proactive DX approach aimed at strengthening on-site capabilities to continually meet customer expectations. The Mishima and Doi plants in Ehime Prefecture are spearheading this transformation. At the Doi Plant, we have rolled out smart factory initiatives in adhesive materials affect performance, researchers moved beyond relying solely on experience or intuition, finding the most efficient development pathway to reach the desired performance goals. In addition, the division has begun working with external partners to combine LINTEC’s proprietary technologies with market issues identified through big data analysis, deepening ideation for potential solutions. AI is also being applied to streamline the analysis of massive datasets, such as patent information, by allowing researchers to input a few keywords and quickly extract and filter relevant results. This not only reduces time spent on administrative tasks but also frees up researchers to focus on core R&D activities.conjunction with the installation of two new lines for production of multilayer ceramic capacitor-related tape. These efforts include full automation, from order receipt to shipping. To enhance quality management, AI has been deployed to unify data management across every stage, from incoming raw materials to final product shipment. This integrated system allows for immediate traceability. In the event of a quality issue with a specific product, the Company can instantly identify any other products that used the same raw materials. This improves operational efficiency and creates a more resilient and trustworthy production system.34StrategiesStrategies for Strengthening Our CapitalsWe believe digital transformation (DX) is key to realizing our long-term vision, LSV 2030, and achieving the milestones outlined in our medium-term business plan. In addition to the early initiatives already underway in the Production Division and Research & Development Division, we launched LDX 2030 in October 2022. This Companywide DX promotion project is aimed at driving business process reform and building a foundation for digital talent development. By unlocking the potential of our greatest management resource, our people, we aim to strengthen our organizational resilience and secure the profits needed for growth, even in a challenging business environment.The Doi Plant’s Transition to a Smart FactoryProduction andshipping instructionsRaw material inputInventoryrecordProductionplanningOrder receiptProductionInputrecordMachinemalfunctiondetectionProductionrecord❷SalesInspectionPackingDefectiveproductdetectionQuality dataShipping recordShippingLinkageCore system (factory)❶CustomerDX Strategy
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