研究者
J-GLOBAL ID:200901090944501476
更新日: 2024年09月11日 安井 清一
ヤスイ セイイチ | Yasui Seiichi
- Tomomichi Suzuki, Katsuyuki Fujinami, Masaru Akiba, Taku Watanabe, Shizu Itaka, Seiichi Yasui. Statistical Process Control in Oshibori Rental Business. Proceedings of XIVth International Workshop on Intelligent Statistical Quality Control 2023. 2023. 14. 229-239
- Tomoyoshi Hatayama, Seiichi Yasui. CUSUMIN: A cumulative sum interval design for cancer phase I dose finding studies. PHARMACEUTICAL STATISTICS. 2022. 21. November/December. 1-18
- Tatsunori Hara, Satoko Tsuru, Seiichi Yasui. A Mathematical Model of Value Co-Creation Dynamics Using a Leverage Mechanism. Sustainability. 2022. 14. 11
- Shingo Umehara, Aya Ishigaki, Seiichi Yasui, Hisamitsu Nishioka, Kentaro Minagawa. Effect of division of roles on learners in online manufacturing education. Proceedings of the 12th International Workshop on Computational Intelligence and Applications (IEEE IWCIA2021). 2021. 1-6
- Shingo Umehara, Aya Ishigaki, Seiichi Yasui, Hisamitsu Nishioka, Kentaro Minagawa. Learning on Human Resources Development using Lego Assembly. Proceedings of the 26th International Conference on Production Research (ICPR2021). 2021. 1-4
- Ayami OZAKI, Tatsunori HARA, Satoko TSURU, Akihiro NAKAO, Seiichi YASUI, Yutaka MACHIDA, Tetsuro TAMAMOTO. Development of the clinical process model to manage multimorbidity in acute hospital: resource-capability based discussion for management. ANQ Congress 2020 Proceedings. 2020. 806-811
- Momoko NISHIOKA, Tatsunori HARA, Satoko TSURU, Akihiro NAKAO, Seiichi YASUI, Takashi MOTEGI, Yoshifumi YAMAMOTO, Shigeo MURO, Tetsuro TAMAMOTO. Development of a method for analyzing physicians’ prescribing strategies using medical data. ANQ Congress 2020 Proceedings. 2020. 794-805
- Yoshio Yamazoe, Tatsunori Hara, Satoko Tsuru, Seiichi Yasui, Akihiro Nakao, Fumio Fukumura, Masahiko Kawaguchi, Tetsuro Tamamoto. Developing a policy formulation support system of service design and resource allocation to reduce hospital ward risk. ANQ Congress 2020 Proceedings. 2020. 784-793
- Shingo Umehara, Tomoki Oshima, Aya Ishigaki, Seiichi Yasui. Effect of an instruction manual using an e-learning system on the improvement of assembly work. Proceedings: 2020 9th International Congress on Advanced Applied Informatics. 2020. 1. 1. 789-794
- Tomoyoshi Hatayama, Seiichi Yasui. Bayesian central statistical monitoring using finite mixture models in multicenter clinical trials. Contemporary Clinical Trials Communications. 2020. 19. September. 12
- 大村和香子、石川敦子、伊藤優子、原田寿郎、大木博成、安井清一、山口秋生、森田珠生、須貝与志明、茂山知巳、赤堀裕一、手塚大介、五十嵐盟、関澤外喜夫. 屋外用途における木材の保存処理と塗装との相乗効果の検証. 森林総合研究所研究報告. 2020. 19. 2. 121-135
- Tatsunori Hara, Satoko Tsuru, and Seiichi Yasui. Models for Designing Excellent Service Through Co-creation Environment. Serviceology for Services. 2020. 1. 1. 73-83
- Ayumi Ogasawara, Erika Tajima, Aya Ishigaki, Seiichi Yasui, Hiroyuki Nishiyama. Method of Determining Zoning and Storage Reassignment Plan Considering Picker's Work Characteristics in Logistics Warehouse. Proceedings of the 20th Asia Pacific Industrial Engineering And Management Systems. 2019
- Shuhei Takano, Seiichi Yasui and Yoshihumi Ohmiya. Variability factor analysis of flame-retardant wood production using the quantile regression. ANQ-17 Full Paper. 2019
- Kazuma URUSHITANI, Seiichi YASUI and Satoko TSURU. Spatio-Temporal Analysis of Sleep Quality in Nursing Home Residents with Sensor Data. ANQ-17 Full Paper. 2019
- Kazuya TSUNODA, Satoko TSURU, Seiichi YASUI, Rie AKINAGA2. Possibility of evaluation for contributing to ability growth of new clinical technologists. ANQ-17 Full Paper. 2019
- Seiichi YASUI, Toshinari OHTSU. MANOVA for Fractional Factorials and the Application to Robust Parameter Designs with Nonlinear Dynamic Responses. ANQ-17 Full Paper. 2019
- Hiroki YAMADA, Satoko TSURU, Fumio FUKUMURA and Seiichi YASUI. Development of a method for evaluating bed-management system risks in hospital wards. ANQ-17 Full Paper. 2019
- Ayumi Ogasawara, Aya Ishigaki, Seiichi Yasui. Adaptive Storage Reassignment in Order Picking Systems to Picker Learning and Change of Demand. Proceedings of the 25th International Conference on Production Research. 2019
- Masato Nagai, Seiichi Yasui. Experimental learning of QC problem solving by proactively utilizing root cause data. Full Papers Book of XVI ANQ Congress 2018. 2018. 1. 1. 155-163
前のページに戻る