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Fujimura Lab
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A lab studying production information systems that support production planning in factories.

AboutAbout the lab
A system that decides what to make, when, and how much.
The Fujimura Lab studies next-generation production information systems for use on the manufacturing floor.
Its central theme is production scheduling, which dynamically decides what to make, when, in what quantity, and how to make and sell it.
Using real corporate problems as case studies, the lab examines how information such as orders, inventory, and progress should flow.
It also studies how systems themselves are built, using software development techniques and agent technology.
Key terms
- Production scheduling
- Deciding the order and timing of which products to make, when, on which equipment, and in what quantity
- Supply chain management
- An approach that manages the whole flow from procuring materials through production, delivery, and sales
- Agent
- A software component that makes its own decisions and acts according to the role it has been given
NewsLab news
View More ↗ResearchResearch themes
The Fujimura Lab studies what next-generation production information systems should look like, focusing on production scheduling in manufacturing. Using real corporate problems as case studies, it approaches the topic from both the functional side and the systems implementation side.
*Illustrative imageSelf-building scheduling
The lab is developing a function in which the system itself builds the master data and scheduling methods it needs, based on the history of operations performed while it is in use. The goal is to eliminate the effort of deployment and maintenance.
*Illustrative imageAgent-oriented modeling
The lab analyzes scheduling tasks in an object-oriented way from the viewpoint of mental models, and investigates how to construct them as agent-oriented distributed models.
*Illustrative imageCreating development standards
System development has so far relied on the skill of individual developers. The lab is defining development standards with clearly stated purposes, which will lead to standardized deployment work, more efficient development, and clearer evaluation criteria.
*Illustrative imageIntegration into SCM
To build company-wide supply chain management, this research organizes how production scheduling functions are used and clarifies how to connect them with other systems.
MembersFaculty
The members of the Fujimura Lab are faculty members and doctoral and master's students.As of 2025
- ProfessorShigeru Fujimura
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “001 Car factory assembly line - Opel factory in Gliwice, Poland” Marek Ślusarczyk (Tupungato) Photo portfolio / CC BY 3.0 (cropped)
- Self-building scheduling: “Gfp-factory-assembly-line” Yinan Chen / Public domain (cropped)
- Agent-oriented modeling: “Apus apus flock flying” Keta / CC BY-SA 2.5 (cropped)
- Creating development standards: “Линия сварки боковой стены вагона. «Тихвинский вагоностроительный завод»” AKomkova / CC BY-SA 4.0 (cropped)
- Integration into SCM: “Container-Terminal Bremerhaven 02” H. Zell / CC BY-SA 3.0 (cropped)
- Related lab (Yoshie Lab): “Crane at construction site - geograph.org.uk - 7593527” Kevin Waterhouse / CC BY-SA 2.0 (cropped)
- Related lab (Kamata Lab): “Hilbert Curve Sweep” Renault33 / CC0 (cropped)
- Related lab (Ieiri Lab): “Design Thinking Workshop WMDE 2” Corinna Schuster (WMDE) / CC BY-SA 4.0 (cropped)
- Related lab (Furuzuki Lab): “Deep-dream-white-noise-0036” MartinThoma / CC0 (cropped)
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