Hitachi and Hitachi High-Tech Develop a Solution to Optimize Manufacturing Processes Using Generative AI and Informatics

Author photo: Craig Resnick
ByCraig Resnick
Category:
Company and Product News

Hitachi, Ltd. and Hitachi High-Tech Corporation are developing a Manufacturing Process Improvement Solution to help identify optimal manufacturing processes and enhance informatics capabilities. The solution combines generative AI with expertise in measurement equipment, which aims to help improve efficiency and reduce waste in manufacturing.

Illustration of Hitachi’s AI-driven solution streamlining manufacturing processes for efficiency and sustainability

Key Challenges Addressed

  • Scaling up manufacturing from research and development (R&D) prototypes to large-scale production has traditionally relied on trial and error.

  • This approach can be time-consuming, expensive, and wasteful, leading to increased CO2 emissions and higher costs.

  • The need for faster, more precise production processes has become critical to meet evolving market demands.

Features of the Solution

  • Proposals for Efficient Manufacturing Processes:

    • A proprietary database integrates open data, patents, and measurement equipment knowledge.

    • Retrieval-Augmented Generation (RAG) generative AI provides tailored process recommendations.

    • Consultants propose optimized processes to help improve yields and reduce inefficiencies.

  • Parameter Optimization with Informatics:

    • Uses numeric and image data to determine optimal process conditions.

    • Image data, such as those from electron microscopes, is analyzed to extract feature values for process insights.

    • Identifies optimal manufacturing parameters to help improve yield and reduce costs.

Implementation Plan

  • Proof of concept begins in April 2025 with customers in industries, such as semiconductors, batteries, and materials manufacturing. The solution focuses on helping to improve scalability, reduce waste, and address challenges in process development.

Future Steps

  • Enhance the accuracy of generative AI and expand the solution’s applicability.

  • Offer the solution to domestic and international customers to address a range of industrial challenges.

  • Align the solution with Hitachi’s Lumada initiative to support data-driven manufacturing improvements.

This approach helps to underscore Hitachi’s commitment to leverage digital technologies to help address industrial challenges and drive sustainable innovation.

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