TETSUYA Production Control Division, Production Planning Section, Production Control Department Joined in 2018
When I was working for a temporary staffing system company, I had a worked with TBK and was fascinated by the friendly and easy-to-speak workplace atmosphere. Awakening to the motivation of developing and supporting in-house systems, I decided to work as a full-time employee at TBK from the third year. Currently, I am in charge of planning, development, and operational support for in-house infrastructure and systems. The users of the in-house system are employees. The real thrill of work is that you can see the scene where the system you developed is used up closely. Since the evaluations and requests for the system are received directly, it is easy to get a sense of accomplishment, and it is a unique merit to this work that can lead to speedy improvement. Every day, I enjoy the fun of "cultivating a system.
I am in charge of a wide range of internal IT-related tasks, but the most rewarding thing is the development of internal Web systems. It is a system that makes it possible to extract sales data and production data accumulated in the core system so that they can be referred and processed on the Web. It is also expected to be used for management, and the degree of attention within the company is great! In order to create a better system, we are working on development by repeating trial and error while considering specifications that consider usability. It is also rewarding to be able to support members of other departments by dealing with problems with internal infrastructure. The words "Thank you" and "I was saved" that I receive from users every day motivate me to work.
There are still many points for improvement at the manufacturing site. Recently, we have begun to introduce new mechanisms little by little, such as introducing IoT to promote "visualization" and using RPA to automate work and reduce man-hours, but these are at the introduction stage. There are a lot of challenges to make it a "smart factory" that we often hear these days. Knowledge of big data analysis technology and AI is also required to improve productivity and quality control. Currently, while learning them, I am in the process of formulating ideas for new mechanisms. I would like to support the company with the latest technology while deepening my understanding of the manufacturing site and realize the future growth of myself and the company.
08:15 |
Arrive at work / morning assembly |
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08:30 |
Email check |
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09:00 |
Development of in-house Web system |
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11:00 |
System manual creation |
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12:00 |
Lunch break |
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12:45 |
Afternoon assembly |
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13:00 |
Extract past data and investigate |
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16:00 |
Email check |
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17:10 |
Leaving the office |
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