Laboratory for Intelligent Systems, led by Professor Haruhiko Suwa, is a part of the Department of Mechanical Engineering at Setsunan University. At our laboratory we strive genuinely earth-friendly manufacturing process and its decicion-making mechanism. The scope of our research includes: energy-efficient manufacturing systems, manufacturing intelligence, machinability of sintered carbide tools, stability-directed planning, and proactive/reactive scheduling.
Highly Energy Efficient Manufacturing Systems
Energy-awareness has been recognized as critical in industry to pursue sustainable manufacturing along with reduction of CO2 emission and the energy costs. In addition to the development of energy-saving solutions by both of the the top-down approach like factory energy management systems (FEMS) and the bottom-up approach associated with eco-suited machining technologies, needs for much smarter and highly-automated manufacturing systems have been increased, therefore energy-awareness, not in manufacturing processes but energy-conscious planning must be considered. We focus on developing the smart way of energy-aware operations of manufacturing systems.
- Manufacturing operations based on energy load planning
- Energy-efficient optimization of tool paths
- Prediction of power consumption and energy loss
- Yonemoto, R. and Suwa, H., Task Scheduling of Material-Handling Manipulator for Enhancing Energy Efficiency in Flow-Type FMS, International Journal of Automation Technology, Vol.14 No.6, 943-950 (2020).
- Samukawa, T., Shimomoto, K., and Suwa, H., Estimation of In-Process Power Consumption in Face Milling by Specific Energy Consumption Model, International Journal of Automation Technology, Vol.14 No.6, 951-958 (2020).
- Yonemoto, R. and Suwa, H. (2019) Evaluation of Energy Efficiency and Productivity in Scheduling by Using Physical Simulator, Transactions of the Institute of Systems, Control and Information Engineers, Vol.32, No.5, pp.185-191.
- Samukawa, T. and Suwa, H. (2016) An optimization of energy-efficiency in machining manufacturing systems based on a framework of multi-mode RCPSP, International Journal of Automation Technology, Vol.10, No.6, pp.985-992.
- Suwa, H. and Samukawa, T., 2014, Energy-Efficient Operation of Machine Tools Based on Electric-Load Profiles, Proceedings of the 16th International Machine Tool Engineers’ Conference.
Eco Machining of Sintered Tungsten Carbide
This is a collaborative work with Prof. Moriwaki and DIJET Industrial. Tungsten Carbide have extremely high hardness and wear-resistivity, which is expected to be applied widly to dies and molds in the near future. We are focusing on developing an efficient machining method of Tungsten Carbide, and examining the machinability and some properties of CBN tools and also diamond-coated carbide cutting tools.
- Machinability of Sintered Tungsten Carbide Tools in Milling Process
- Suwa, H., Sakamoto, S., Nagata, M., Tezuka, K., and Samukawa, T., Applicability of Diamond Coated Tools for Ball-End Milling of Sintered Tungsten Carbide, International Journal of Automation Technology, Vol.14, No.1, pp.18-25 (2020). doi: 10.20965/ijat.2020.p0018
- Suwa, H., Sakamoto, S., Nagata, M., Tezuka, K., and Samukawa (2020) T., Applicability of Diamond Coated Tools for Ball-End Milling of Sintered Tungsten Carbide, International Journal of Automation Technology, Vol.14, No.1, pp.18-25.
- Suwa, H., Sakamoto, S. and Samukawa, T. (2018) Capability of Diamond Coated Ball-End Tools in Milling of Sintered Tungsten Carbide, Proc. of 17th International Conference on Precision Engineering.
Stability Directed Planning against Uncertainties
This collaborative work with Dr. Morita at Takachiho University proposes a new framework for a stability-based decision making process in planning and scheduling, including builining a mathematical model and the development of efficient/high-speed methods with considering practical applications. The term "stability" refers to the higher predictability of a released plan/schedule and also signifies the robustness of the plan/schedule against internal and external uncertainties. In the past few years we have focused on the application of our idea to capacity requirement planning (CRP) in industry, and proposed a robust CRP method that we believe can generate a stable load plan against dynamic changes in a manufacturing environment.
- Robust CRP model and method
- Mathematical model and optimization method of buffer management
- Suwa, H. and Morita, D. (2016) Reactive Project Scheduling Method to Enhance Project Progress under Uncertainty, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.10, No.3. DOI: 10.1299/jamdsm.2016jamdsm0051
- Morita D and Suwa H (2015) An Exact Method for Robust Capacity Requirements Planning, International Journal of Automation Technology, Vol.9, No.3. (to appear)
- Suwa H and Morita D (2014) Stability-Based Short-Term Capacity Requirement Planning under Uncertainty, Procedia CIRP, Vol.19, pp.123-128.
- Morita D and Suwa H (2012) An Optimization Method for Critical Chain Scheduling toward Project Greenality, International Journal of Automation Technology, Vol.6, No.3, pp.331-337.
Ph.D. in Systems Engineering
Professor, Manufacturing and Systems Engineering
Deputy Dean, Faculty of Science and Engineering
He was born in 1970 in Kyoto, Japan. He is a professor of of Mechanical Engineering within the Faculty of Science and Engineering at Setsunan University. He received his B.Eng., M.Eng. and Ph.D. degrees from Kobe University, respectively in 1992, 1994 and 1997. His research areas cover systems engineering, manufacturing engineering, industrial engineering. His current research interests include green manufacturing, advanced scheduling, decision-making support systems and project management. He was awarded the Best Presentation Award from Institute of Electrical Engineers of Japan in 2003 and the Academic Award from Scheduling Society of Japan. He is a Visiting Scientist of Lab for Manufacturing and Productivity at Massachusetts Institute of Technology from Sep 2012 to Aug 2013, and July 2014.
- Tetsuo Samukawa: Ph.D. in Engineering
- Kazuki Shimomoto: Technical Instructor
Graduate student researchers 2020
- Ryo YONEMOTO: Ph.D. candidate
- Rio FUJII: Master's student
- Takumi SHIMADA: Master's student
- Kazuo Shiraishi: Master's student
- Ryo FUJII: Master's student
Senior students 2020
- Masaki DOUNO
- Yushi ENOMOTO
- Satoshi INOUE
- Shuma KOBAYASHI
- Kiyotaka MATSUI
- Masahiko MATSUMURA
- Kazuya ODA
- Wataru UENO
- Toshihisa Fujiwara: Ph.D. in Information Science, Osaka Univeristy
- Daiduke Morita: Ph.D. in Engineering, Aichi Gakuin University
Faculty of Science and Engineering
17-8 Ikedanaka-machi Neyagawa Osaka 5728508 Japan
Questions, comments and paper requests are directed to suwa[at]mec.setsunan.ac.jp