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Arakawa Lab
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The lab develops design methods for creating better products, centered on multi-objective optimization.

AboutAbout the lab
Designing to satisfy many goals at once
The Arakawa Lab studies the systematic framework of design for creating better products.
It used to be enough to improve performance, but now designers must also consider what users have not yet noticed.
The lab's central theme is therefore to establish methods for conceiving better concepts and advancing design toward them.
Multi-objective optimization is the pillar of this work, and the lab is developing it as a method that can be extended to many fields.
Key terms
- Design engineering
- A discipline that organizes how to carry out design for making better products into a systematic framework
- Multi-objective optimization
- A method for finding good designs by handling together multiple goals that are hard to satisfy at once, such as lightness and strength
- Design thinking
- An approach that finds problems from the user's perspective and shapes a solution by repeatedly proposing and testing ideas
NewsLab news
Prof. Arakawa received the ASSMO Fellow Award
Prof. Arakawa received the Achievement Award of the Japan Society of Mechanical Engineers
Prof. Arakawa was named a Fellow of the Japan Society of Mechanical Engineers
ResearchResearch themes
Design engineering is the discipline of building a systematic framework for making better products. Centered on multi-objective optimization, and with design engineering, design thinking, and fault diagnosis as keywords, the Arakawa Lab works to establish design methods that lead toward better concepts.
*Illustrative imageFinding optimal solutions through swarm behavior
Particle swarm optimization, which imitates the movement of flocks of birds and schools of fish, is a method for finding good solutions to design problems with many variables. The lab improves it so that it can be used for constrained problems and for very large problems.
*Illustrative imageEstimating material properties by computation
It is difficult to determine correctly, by back-calculating from measurement results, the properties of materials used in applications such as motor cores. The lab studies methods for estimating realistic material constants, using techniques that approximate the answer with little computation.
*Illustrative imageDesigning transport networks and Kansei
The lab optimizes the shape of urban transit networks such as subways, evaluating them with the fractal dimension, a measure of the complexity of a shape. It also studies how to handle the trade-off between preferences for a product's appearance and its design, using words as clues (Kansei, or human sensibility).
MembersFaculty
- ProfessorMasao Arakawa
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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: “Sticky Notes 2” ProjectManhattan / CC BY-SA 3.0 (cropped)
- Finding optimal solutions through swarm behavior: “ParticleSwarmArrowsAnimation” Ephramac / CC BY-SA 4.0 (cropped)
- Estimating material properties by computation: “Magnetic flux around air-gap in transformer core made from E and I laminations” Constant314 / CC0 (cropped)
- Designing transport networks and Kansei: “Metro Paris Novembre 1939” [S.l.] : [éditeur inconnu], [date de publication inconnue] Bibliothèque Historique de la Ville de Paris, Cote : G 1121, Droits d'accès : Consultable sans restrictions, Droits : domaine public. / CC0 (cropped)
- Related lab (田中研究室): “Gear-hobbing-spur-gear-on-cnc-cutting-machine” Affoltergroup / CC BY-SA 4.0 (cropped)
- Related lab (立野研究室): “CSIRO ScienceImage 3719 CSIROs Fleck wireless sensor network technology” Stephan Brosnan, CSIRO / CC BY 3.0 (cropped)
- Related lab (高橋研究室): “Photodynamic therapy 2” Ed Mkh / CC BY-SA 3.0 (cropped)
- Related lab (志村研究室): “Semiconductor Wafer of Microelectronics” DrHughManning / CC BY-SA 4.0 (cropped)
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