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Jin Lab
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The lab optimizes maintenance planning for social infrastructure through probabilistic prediction.
AboutAbout the lab
Finding the best maintenance plans so action is taken before things break
The Jin Lab works on optimizing planning based on probabilistic prediction, focusing on the maintenance of social infrastructure and plants.
Its specialties are maintainability engineering, condition-based maintenance, and reliability engineering.
Products and systems that are operated for a long time, such as social infrastructure, power systems, and aircraft, require continuous maintenance.
The same research methods are also used in health economics to choose treatments and medications, and the lab has begun joint research in financial engineering.
Key terms
- Condition-based maintenance
- Maintenance performed while keeping the target under monitoring, aiming to prevent accidents and failures before they occur
- Reliability engineering
- A field that ensures the reliability of products and systems, in terms of durability, maintainability, and design reliability, so that they keep operating as expected
NewsLab news
A master's student won the Excellent Presentation Award at the 55th Annual Conference of the Japanese Society for Quality Control
A master's student won The Best Paper Award at the international conference ANQ Congress Bengaluru 2025
A paper by a doctoral student was accepted by Total Quality Science
A master's student won the Excellent Presentation Award at the 54th Annual Conference of the Japanese Society for Quality Control
A doctoral student received the Academic Encouragement Award from the IEEE Reliability Society Japan Joint Chapter
ResearchResearch themes
To keep using long-operated products and systems safely, maintenance must be performed at the right time and without waste. Centered on condition-based maintenance, the lab aims to establish optimal maintenance that makes use of monitoring information and past records of operation, maintenance, and repair.
*Illustrative imageMaintenance planning with cost-effectiveness in mind
As economic planning, the lab studies plans for inspection and maintenance. Its research includes making the interval of periodic inspections variable and combining multiple maintenance methods.
*Illustrative imageOptimization that accounts for uncertainty and change
This research evaluates how uncertainty in monitoring accuracy affects decision-making, and how environmental factors affect degradation.
*Illustrative imageOptimization algorithms for maintenance policies
The lab develops algorithms that optimize maintenance policies. It also examines the properties of optimal policies and works on optimization that exploits monotonicity.
MembersFaculty
The Jin Lab consists of faculty and students in the doctoral, master's, and undergraduate programs, including working professionals pursuing doctorates.As of 2025
- Associate ProfessorLu Jin
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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: “Steel Bridge Inspection - Snooper truck” Oregon Department of Transportation / CC BY 4.0 (cropped)
- Maintenance planning with cost-effectiveness in mind: “Steel Bridge Inspection - Inspecting under the upper deck” Oregon Department of Transportation / CC BY 4.0 (cropped)
- Optimization that accounts for uncertainty and change: “Simulation-based optimization for building performance studies” Lpetroia / CC BY-SA 4.0 (cropped)
- Optimization algorithms for maintenance policies: “Meta-Optimization Concept” Pedersen, M.E.H., Tuning & Simplifying Heuristical Optimization, PhD Thesis, 2010, University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. / Public domain (cropped)
- Related lab (Yokogawa Lab): “Coin cells being tested” UCL Faculty of Mathematical and Physical Sciences / CC BY 3.0 (cropped)
- Related lab (Itakura Lab): “AFRL-developed physiological monitoring system undergoes flight tests (8340359)” U.S. Air Force AFRL by [null Courtesy] / Public domain (cropped)
- Related lab (Akaike Lab): “CSIRO ScienceImage 7664 The wearable bodymapping sleeve” Nick Pitsas, CSIRO / CC BY 3.0 (cropped)
- Related lab (Miyamoto Lab): “ELIZA conversation” 作者不詳 / Public domain (cropped)
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