Production engineer building next-generation factory simulation tools based on real manufacturing experience.
Mechanical engineering background.
Studied fluid simulation at Yokohama National University (Graduate School of Systems Integration Engineering, Master's degree).
During my research, I developed custom simulation codes for fluid analysis.
Graduate research: fairing shape optimization using fluid simulation and genetic algorithms.
After graduation, I joined an automotive manufacturer as a production engineer.
My work includes:
- New vehicle production launch
- Manufacturing system development
- Production equipment engineering
- Factory automation
Through real factory experience, I realized something important:
Through real factory experience, I realized that production engineers often need more practical and transparent simulation tools.
So I started building my own simulation system.
A practical factory simulation tool designed by a real production engineer.
🔗 https://github.com/suzuking001/fact_sim
Focus areas:
- Throughput analysis
- Bottleneck detection
- Equipment sizing
- Buffer capacity analysis
- AGV fleet optimization
- Discrete Event Simulation
FactSim is designed to answer real engineering questions such as:
- Will the line meet takt time?
- Where is the bottleneck?
- How many machines are required?
- How many AGVs are necessary?
- How much buffer is needed?
I also build civic-tech web applications using local government open data.
Some of my web apps have been listed as public open data use cases by Japanese public organizations:
-
Digital Agency, Government of Japan
Hamamatsu City Event Map
https://www.digital.go.jp/resources/data_case_study_local -
Hamamatsu City
Childcare facility status map apps
https://www.city.hamamatsu.shizuoka.jp/koho2/opendata/jirei.html -
Shizuoka Prefecture Open Data
Hamamatsu City Event Map
https://opendata.pref.shizuoka.jp/agreement.html
Related apps:
-
Hamamatsu City Event Map
https://suzuking001.github.io/event_map/ -
Childcare temporary availability map
https://suzuking001.github.io/kodomo_map/ -
Childcare application demand map
https://suzuking001.github.io/bosyu_map/ -
Universal childcare program facility map
https://suzuking001.github.io/daredemo_map/
Manufacturing systems can be modeled as discrete event systems.
The purpose of simulation is not visualization.
The purpose is understanding.
A good simulation should clearly explain:
- Why a line works
- Why a line fails
- Where the bottleneck is
- What parameter should be changed
FactSim aims to provide a practical engineering simulator based on real production knowledge.
- Factory Simulation
- Discrete Event Modeling
- Manufacturing Systems
- Simulation × AI
- Autonomous Optimization
Simulation
- Discrete Event Simulation
- System Modeling
Programming
- JavaScript
- Python
Engineering
- Manufacturing Engineering
- Production Systems
- Industrial Automation
Build the next generation of factory engineering tools.
Simulation should not be a complicated specialist tool.
It should be:
- simple
- transparent
- explainable
- useful for real engineers
FactSim is an attempt to move in that direction.