Kyushu University Institute of Mathematics for Industry

The IMI Colloquium Report in November 9, 2022

Title: Mathematical modeling and system development for the next phase
Speaker: TSUKAMOTO, Makoto (Fusic CO., LTD.)
Place: Live-streaming by Zoom

Attendance: 26 (Students: 13; Staffs: 6; Others: 7)
In this talk, Mr. Tsukamoto first introduced the outline of Fusic and its machine learning team of the Advanced Technology Division. The machine learning team is the department, where he belongs, and is the core of this talk.

In the introduction of the machine learning team, he touched on some characteristic examples of their works, such as the analysis of football games using AI based on videos of the games, the assignments of store personnel using combinational optimization, and  the construction of a support system using IoT to improve efficiency and added value to operate solar power generations.

After introducing the workflow of the machine learning team, he explained in detail the steps to develop mathematical models and to construct softwear systems, using the allocation of store personnel as an example.

He explained that the team formulates the mathematical model by setting an objective function that takes into account the sales target and the reduction of unevenness among the ability of personnel under the constraint conditions such as the number of employees required for the store and the assignment of the necessary managers.

In addition, he explained that the team receives feedbacks from customers based on the results of simulations, which are computed by using the developped models; they are discussing with each other based on the mathematical model during the feedback, so that they can share the necessity of the required data; the mathematical models make the advantages to improve customer satisfaction, such as
understanding of the necessity of costs and making their decisions easier; and the mathematical model makes updating the system in the future easier.

He also explained the ongoing efforts to make more effective use of mathematical models and mathematics for customers, internal companies, and the general public.

Through the talks, we could gain useful knowledge on how mathematics is useful for social implementation in companies, and what kind of efforts can be made to make the importance of mathematics better understood by society.