At the Yamada Laboratory, we are researching methods and practices that aggregate facts with data and aid decision-making and creativity, mainly with a focus on providing value to customers through products and services. At the core of our research is “talking with data,” and the following three topics are representative examples of this.

(a) Collecting and analyzing data to aid technology development

The design of experiments is a method for systematically collecting and analyzing data, and in recent years, various developments such as applications to computer simulation have been desired. We are researching data collection and analysis methods based on actual technological development examples and simulated simulators. There are also studies that go into mathematical aspects, such as research on application methods, for example, the development of production technology for wire connections in IC manufacturing, and studies on the mathematical optimality of supersaturation experimental plans.

(b) Application examples and method development of data analysis

The studies are focused on various types of data, such as drug administration and progress, product defects data, customer information on store sales, brain measurement information, education-related data and measurement of the conditions to improve the quality. We provide useful information for formulating strategies to obtain useful insights from the data that will help the parties involved. Some research leads to new knowledge through data analysis, while other research develops new methods of data analysis. There are various forms of data, such as those related to development, design, production, and sales, and so-called big data such as customer feedback in the market and product usage status are also included.

(c)Quality management practice

In order for a company to provide value to its customers through its products and services, it is necessary for the planning, development, design, production, supply, sales, and distribution departments to act according to their respective roles. should be measured with data, judged logically, and improved if necessary. There are examples of quality improvement of specific products, research on the application of ISO 9001, the international standard for quality management, and research on the structure and introduction of quality management.