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[Case Study of Drawing Search AI] Kyocera Corporation - Improving Work Efficiency by Reducing Search Time

Successful increase in proposal numbers by reducing search time! Further business expansion through smart factory transformation driven by DX promotion / Case study of AI for similar drawing search.

Founded in 1959 as a specialized manufacturer of fine ceramics, Kyocera Corporation, now a leading comprehensive manufacturer in Japan, has diversified its business across a wide range of markets, including information and communication technology and automotive-related sectors, based on its high technological capabilities, offering materials, devices, components, and services. In November 2020, the company's Machine Tool Division launched a new project aimed at realizing a smart factory. They have implemented the drawing search AI package "Hi-PerBT Drawing Search AI" and the drawing management package "Hi-PerBT Advanced Drawing Management," promoting productivity improvement and business expansion through digital transformation (DX). [Case Overview] ■ Purpose of Implementation: Inheritance of tacit knowledge and improvement of search speed for vast amounts of 2D drawings ■ Deciding Factors for Implementation: Remarkable response speed, increased search efficiency, and order volume ■ Effects of Implementation: Centralized management of drawings from upstream processes, significantly reduced lead times ■ Future Plans: Achieving concurrent engineering through the integration of BOM and BOP *For more details, please refer to the PDF document or feel free to contact us.

• Company：日立ソリューションズ西日本
• Price：Other

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