Common Technology Data Science Technology

Data Science Technology icon
Data Science Technology icon

Summary

  • Generally speaking, data science refers to the technology of extracting valuable information and insights from various data to solve problems and support decision-making.
  • Murata’s Data Science Technology is a technology that enables the scientific management outlined in our corporate philosophy in the development, manufacturing, and provision of electronic components. This technology consists of data collection and organization, statistical analysis, and machine learning technologies, including generative AI, which has seen significant advancements in recent years.
  • The strength of Murata’s Data Science Technology lies in the continuous collection and organization of on-site data and the cycle of its utilization. The accumulated on-site data contains unknown insights, and by applying appropriate analytical techniques, we generate new information and insights.
  • These newly obtained information and insights contribute to the technical and business strengths of various areas where Murata is involved, such as business planning, research and development, product design, quality improvement, and manufacturing operations.

Murata’s Data Science Technology

Technical Explanation

Murata’s Data Science Technology is a technology that extracts the information and knowledge necessary to practice scientific management, which is one of the company’s guiding principles, from data in the development, manufacturing, and provision of electronic components. This technology begins with the stages of determining what data to collect and how to organize the collected data, and consists of statistical analysis and machine learning technologies that analyze the organized data.

Murata operates in a wide range of business areas, from material development to the provision of products and services, and is advancing initiatives that leverage data science in each of these areas. Specifically, in the field of material development, Murata is using materials informatics techniques to optimize material composition and manufacturing process conditions, with the aim of creating higher-performance, more cost-efficient materials.
In manufacturing, we collect and analyze large amounts of data obtained during the manufacturing process to detect anomalies and analyze the causes of defects, which we then use to improve processes and product quality. In the product design phase, we analyze various factors to enhance product characteristics, quality, and reliability, and optimize the design. In new business development, we analyze vast amounts of document data that cannot be fully grasped by human hands to understand market trends, which we then utilize in strategic planning and customer needs analysis.

Specific examples of how data science contributes to Murata’s various operations

Technological Strengths

Murata’s major strength in Data Science Technology lies in the cycle of continuously accumulating data in the field and developing new technologies that utilize that data.

Murata’s electronic components, such as capacitors, are produced under Murata’s unique integrated production system. We have developed unique technologies that are strengths in each field, and it is because of these unique technologies that we are able to accumulate a large amount of data within the company. Murata is constantly experimenting and refining its data organization to better utilize this data. This data includes material formulation information, manufacturing information on how materials are processed into products, information on production equipment that enables manufacturing processes, and information related to product service provision. All of this data is collected and organized in conjunction with our proprietary technologies. By accurately analyzing this data, we gain new insights and know-how, which we then apply to improve existing technologies and develop new ones.

The long-standing cycle of data accumulation and technological development is a key feature of Murata’s Data Science Technology and will continue to be a core strength supporting business growth in the future.

The cycle of data accumulation and technology development in Murata’s Data Science Technology

Technological Advancement

Murata has long upheld scientific management as its corporate philosophy, and even before the widespread adoption of machine learning technology, the collection, organization, and analysis of data had become deeply ingrained in the company’s manufacturing culture. In particular, in addition to data analysis technology, the company has focused on building database systems to accumulate and manage data related to its proprietary technologies within the company. Thus, Murata’s Data Science Technology approach, which emphasizes data collection and organization, remains unchanged even in the current era of active development of machine learning technologies, including deep learning.

With the advancement of emerging technologies such as Generative AI and Physical AI, the scope and breadth of data that can be analyzed through data science are expected to expand significantly in the future. Among these, what remains consistently important is the continuous collection, organization, and utilization of on-site data to support the development of proprietary technologies. Murata’s Data Science Technology, which strengthens this data utilization cycle, will continue to contribute to the creation of new manufacturing technologies in the future.

The past and future evolution of Murata’s Data Science Technology

Application examples for this technology

This technology is applied to Murata’s products and their production processes, from research and development through mass production.

Examples of Data Science Technology Application ~Product Introduction~

Technology