研究概要/Researh Overview URL
最近の研究/Recent Research

研究業績/Publications and Patents
2026年度 査読付き論文/Publications (reviewed)
- Koichi Sumiya/住谷浩一, Sumika Arima. (2026).
Unsupervised Regime Discovery from Industrial Multivariate Time Series Using Masked Invariant Information Clustering.
The International Journal of Production Research (IJPR).
Taylor & Francis:pp.1-55 . (Accepted. To be published)
https://doi.org/10.1080/00207543.2026.2683888 - H. Akizuki/秋月優杜, S. Kobayashi/小林慎之助, and S. Arima. (2026).
"Development of a Comprehensive Performance Composite for Multi-Objective Optimization in Real-Time Schedulers."
The 26th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS2026),
pp.1-10. (Nov.19-Dec.2, 2026)(at Busan, South Kore)
- Ke Li/李軻, C. Mao/毛晨丁, T. Iwasaki/岩崎智也, and S. Arima. (2026).
"Proactive Scheduling for Production Spike Mitigation in Semiconductor Manufacturing."
Proceedings of the 53rd International Conference on Computers and Industrial Engineering (CIE53), Curran & Associates,
pp.1-10. (Oct. 20-23, 2026)(at Khalifa University of Science & Technology, Abu Dhabi, UAE)
- S. Kimpara/金原壮汰, M. Kikkawa/吉川実来, K. Ohara/小原虎仁郎, and S. Arima. (2026).
"Dynamic Detection System for Hazardous Behavior based on the Integration of Gaze and Posture Information from LiDAR Data."
Proceedings of the 53rd International Conference on Computers and Industrial Engineering (CIE53), Curran & Associates,
pp.1-10. (Oct. 20-23, 2026)(at Khalifa University of Science & Technology, Abu Dhabi, UAE)
- K. Nagai/永井康友, S. Yamaguchi/山口颯太, and S. Arima. (2026).
"Cross-layer feature analysis and anomaly cause exploration in semiconductor quality inspection."
Proceedings of the 53rd International Conference on Computers and Industrial Engineering (CIE53), Curran & Associates,
pp.1-10. (Oct. 20-23, 2026)(at Khalifa University of Science & Technology, Abu Dhabi, UAE)
- A. Yasuda/安田朗, T. Matsuzawa/松澤拓也, S. Yamaguchi/山口颯太, K. Sumiya/住谷浩一, and S. Arima. (2026).
"Frequency-Specialized Dual-Branch Anomaly Detection with Artifact Reconstruction for Semiconductor Visual Inspection."
Proceedings of the 53rd International Conference on Computers and Industrial Engineering (CIE53), Curran & Associates,
pp.1-10. (Oct. 20-23, 2026)(at Khalifa University of Science & Technology, Abu Dhabi, UAE)
2025年度 査読付き論文/Publications (reviewed)
- Yurika Suzuki/鈴木 優梨歌, S. Arima. (2026).
"Multi-Objective Multi-Factory Scheduling with Robust Optimization for Inter-Factory Routing."
Proceedings of the 15th International Conference on Operations Research and Enterprise Systems (ICORES2026). SCITEPRESS: pp.1-7. - A. Yasuda/安田朗, H. Shishido/宍戸隼, K.Nagai/永井康友, K.Sumiya/住谷浩一, S. Arima * (*UT)
S.Yasuda, R.Kurosawa, K.Hayashida** (**Sony Semiconductor Manufacturing Corp.) (2025).
"Detection and Localization of Defects Using Masked Image Modeling."
Procs. of Advanced Equipment Control/Advanced Process Control Symposium Asia 2025(AEC/APC2025), Semiconportal: pp.1-2. - Hiroto AKIZUKI/秋月優杜, C. MAO/毛晨丁, Y. SUZUKI/鈴木優梨歌, K. LI/李軻, S. YOSHIDA/吉田照葉, X. LIANG/梁小芸, D. YAJIMA/矢島大輝, S. Arima. (2025).
"Multi-criteria Parameter Optimization for Complex Systems - Multi-Objective Scheduling Case." (Invited Poster)
SWTest Asia 2025 - Chending Mao/毛晨丁, Ke LI/李軻, Xiaohu Xu/許嘯虎, S. Arima. (2025).
"Automated Cause-Effect Discovery on Multivariate Time-series Data -Semiconductor production dynamics and process anomaly." (Invited Poster)
SWTest Asia 2025 - Shuntaro Sakurai/櫻井俊太郎, S. Arima. (2025).
"Data-Driven Modeling of Multi-Factory Production Systems with Tran, Product-mix and Re-entrant flows." The proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference (APIEMS) 2025.
Asia Pacific Industrial Engineering and Management Society: pp.1-6. - 有馬澄佳・髙田大右・金原壮汰(筑波大)・岡本崇利・本多花帆(ダイダン株)). (2025)
「建設現場部材の自動計数システム その1:360°画像に基づく多種計器の計数」
日本建築学会2025梗概集, 日本建築学会: pp.1-2 (11104). - 金原壮汰・有馬澄佳・髙田大右
「建設現場部材の自動計数システム その2:物体判別と計数のための機械学習」
日本建築学会2025梗概集, 日本建築学会 : pp.1-2 (11105). - T. Matsuzawa/松澤拓也, T. Ito/伊藤大輝, S. Arima. (2025).
The reduction of false positives in Sparse Factorization Machines.
Procedia Computer Science, 270, Elsevier:802-811. - T. Ito/伊藤大輝, T. Matsuzawa/松澤拓也, S. Arima. (2025).
Interaction Modeling for High-Dimensional Mixed Data Considering Distribution and Correlation.
Procedia Computer Science, 270, Elsevier:752-761. - Xiaohu Xu/許嘯虎, Chending Mao/毛晨丁, Shuntaro Sakurai/櫻井俊太郎, Sumika Arima. (2025).
Extended VAR-LinGAM Methods for Modeling Production System Dynamics.
The proceedings of the 28th International Conference on Production Research (ICPR 28).
The International Foundation for Production Research, pp.1-4. - Cheng Mao/毛晨丁, Yuta Sato, S. Arima. (2025).
A Dual-Layer Framework to Consistently Model and Solve Cause–Result Metrics in Multi-Objective Scheduling.
The proceedings of the 28th International Conference on Production Research (ICPR 28).
The International Foundation for Production Research, pp.1-4. - K. Sumiya/住谷浩一, S. Arima. (2025).
Masked Invariant Information Clustering for Visualized Multivariate Time-Series Data.
The proceedings of the 28th International Conference on Production Research (ICPR 28).
The International Foundation for Production Research, pp.1-4. - J. Lin/リンカ, S. Arima. (2025).
Supply Chain Operation Coordination Optimization Based on Multi-objective Scheduling.
The proceedings of the 28th International Conference on Production Research (ICPR 28).
The International Foundation for Production Research, pp.1-4.
2024年度 査読付き論文/Publications (reviewed)
- !!!祝: Best Paper Award in APIEMS2024 : Ibuki Shishido/宍戸唯輝 !!!
I. Shishido/宍戸唯輝, S. Sakurai/桜井俊太郎, S. Arima. (2024).
"Due dates assignment based on customer changeability classifications in Make-to-order productoins." Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2024, pp.1-6.
- S. Morita/森田小百合, A. Yasuda/安田朗, S. Arima. (2025).
"Analysis of Resilience Factors and Satisfaction in Life-line Charts for Life Career Developments."
Procs. of the 11th International Symposium on Affective Science and Engineering (ISASE2025).
Japan Society of Kansei Engineering: pp.1-4. J-STAGE: https://www.jstage.jst.go.jp/browse/isase/-char/en
- 特願2025-008756 「検出モデル生成方法、検出対象の検出方法、検出モデル生成装置及びプログラム」
発明者:有馬澄佳、髙田大右、金原壮太、住谷浩一
出願人:国立大学法人 筑波大学
- 特願2025-008630 「画像分類方法、画像分類装置及びプログラム」
発明者:有馬澄佳、阿井大樹、伊藤大輝、住谷浩一
出願人:国立大学法人 筑波大学
- 特願2024-201781 「計数方法、計数装置、および計数システム」(産学共同出願)
発明者:<大学>有馬澄佳、伊東寛紀、高田大右、金原壮太 <企業>岡本崇利、本多花帆、春木優汰
出願人・所有者:筑波大学、ダイダン株式会社.
出願日:令和6 (2024)年11月19日.
- Y. Suzuki/鈴木 優梨歌, S. Arima. (2024).
Multi-factory Scheduling Considering the Trade-offs between Production Efficiency and Risks.
Proceedings of International Symposium on Semiconductor Manufacturing (ISSM2024), ,IEEE : pp.1-4.
- K. Sumiya/住谷浩一, S. Arima. (2024).
Classification of Multivariate Time Series Signals Using Self-Supervised Representation Learning.
Proceedings of International Symposium on Semiconductor Manufacturing (ISSM2024), ,IEEE : pp.1-4.
- T. AI/阿井大樹, T. MAEDA/前田拓海, K. SUMIYA/住谷浩一, T. ITO/伊藤大輝, D. TAKADA/髙田大右, S. ARIMA. (2024).
Robust Classifications of WBM Defect Patterns
The Semiconductor Wafer Test Conference Asia (SWTest Asia 2024). (Accepted)
- H. Ozawa/小澤陽樹, T. Ito/伊藤大輝, T. Matsuzawa/松澤拓也, S. Hoshino/星野紗来, K. Watanabe/渡邉響, S. Arima. (2024).
INTERACTION MODELING OF HIGH-DIMENSIONAL DATA WITH THE BIAS AND HIGH CORRELATION- SPARSE FACTORIZATION MACHINES APPROACH.
The Semiconductor Wafer Test Conference Asia (SWTest Asia 2024).(Accepted)
- Y. Watanabe/渡邊悠義, N. Kashimoto/樫本乃唯, S. Arima. (2024).
"PRODUCTION AND JOB ROTATION PLANNING CONSIDERING DISABILITIES AND HEALTH CONDITIONS."
Proceedings of the 51st International Conference on Computers and Industrial Engineering (CIE51),
Curran & Associates,
pp.1-10. (Accepted. to be published) (Dec.2024, Sydney, Australia.)
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特許出願/Patent JP 特願2024- 099058
「処理計画策定方法、処理リソース割当方法、処理計画策定装置、処理リソース割当装置、処理計画策定プログラム、および処理リソース割当プログラム」
発明者:有馬澄佳, 佐藤優太, 鈴木優梨歌, 毛晨丁, 森江翔, 佐々木優
出願人:筑波大学, 出願日:2024年6月19日.
- K. Nagai/永井康友, S. Arima. (2024).
"Pipeline production model and sensitivity analysis of Engineering-to-Order products using system dynamics."
Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2024,
Asia Pacific Industrial Engineering and Management Society:pp.1-6.
- I. Shishido/宍戸唯輝, S. Sakurai/桜井俊太郎, S. Arima. (2024).
"Due dates assignment based on customer changeability classifications in Make-to-order productoins."
Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2024,
pp.1-6. (Accepted. to be published)
- S. Hoshino/星野紗来, T. Ito/伊藤大輝, T. Matsuzawa/松澤拓也, H. Ozawa/小澤陽樹, S. Arima. (2024).
Interaction Modeling for High-Dimensional Mixed Data with Numerical and Categorical Features.
Procedia Computer Science, 246, Elsevier: 2964-2973.
- H. Ozawa/小澤陽樹, S. Hoshino/星野紗来, S. Arima. (2024).
Interaction modeling of high-correlated data based on Sparse Factorization Machines and CHANOL.
Procedia Computer Science, 246, Elsevier: 2953-2963.
2023年度 査読付き論文/Publications (reviewed)
-
特許(登録): 特許第7444439号
「欠陥検出分類システム及び欠陥判定トレーニングシステム」
発明者:筑波大学 有馬澄佳, 辻拓幹, 大沼悠斗, 西雄介 (有馬研).
所有者:筑波大学, (出願日:2020年3月5日、登録日:2024年2月27日). - T. Maeda/前田拓海D. Takada/髙田大右
!! 祝・Student Award!!
!! Symposium HP (AEC/APC Asia 2023):Student Award!!
- Y. Tahara/田原優作 and S. Arima.
Multi-factory scheduling for a corporated supply chain.
The journal ACTA TECHNICA NAPOCENSIS - Series: APPLIED MATHEMATICS, MECHANICS, and ENGINEERING, the Technical University of Cluj-Napoca, 8 pages, Oct-2023.(to be published) -
H. Takahashi/高橋春樹 and S. Arima.
Due date assignment of multi-product in Make-to-order supply chains.
The journal ACTA TECHNICA NAPOCENSIS - Series: APPLIED MATHEMATICS, MECHANICS, and ENGINEERING, the Technical University of Cluj-Napoca, 6 pages, Oct-2023.(to be published)
- T. Maeda/前田拓海D. Takada/髙田大右, and S. Arima.
Mixed-type Defect Pattern Classifications.
Proceedings of AEC/APC Symposium Asia 2023, Semiconportal, 2 pages, Nov-2023.
- T. Maeda/前田拓海, D. Takada/髙田大右, S. Kimpara/金原壮汰, H. Itou/伊東寛紀, and S. Arima.
Multimodal Data Analysis for Superposition Defect Classification: Case Study of Semiconductor Defect Patterns.
Smart Innovation Systems and Technologies, 377, Springer, 12 pages, Sep-2023.(to be published)
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特願 Patent JP (Application No.) 2023-106926
「プログラムおよび情報処理装置」
発明者:有馬澄佳, 渡邉響
出願人:筑波大学, 出願日:2023年6月29日
- 小川貴史.半導体デバイス市場の多重解像度解析― 長周期変動におけるマクロ経済変動の影響 ―
日本経営システム学会誌, 40(2), 日本経営システム学会, 11 pages, Nov-2023.(to be published)
- S. Hoshino/星野紗来, Kyo Watanabe/渡邉響, and S. Arima. (2023).
Interaction Modelling of High Dimensional Production Data.
Procedia Computer Science, 225. Elsevier. 4055-4064.
- H. Takahashi/高橋春樹 and S. Arima.
Due date assignment of multi-product in Make-to-order supply chains.
Proceedings of 27th International Conference on Production Research (ICPR2023), 4 pages, Jul-2023.
- Y. Tahara/田原優作, Y. Nagai/永井康友, and S. Arima.
Multi-factory scheduling for a corporated supply chain.
Proceedings of 27th International Conference on Production Research (ICPR2023), 4 pages, Jul-2023.
- Jia Lin/藺嘉, Chengding MAO/毛晨丁, and S. Arima.
MULTI-OBJECTIVE N-STEP HYBRID FLOW-SHOP SCHEDULING IN THE CONSTRAINT TRANSFORMATION FORM WITH MULTI-PARAMETER OPTIMIZATION.
Proceedings of International Symposium on Scheduling 2023, Scheduling Society of Japan, 6 pages, 2023.
- Xiangchu Chen, and S. Arima.
Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly.
Innovation inMedicine and Healthcare, Springer, 101-117, 2023.
- D. Takada/髙田大右, H. Itou/伊東寛紀, R. Ohta/太田諒, T. Maeda/前田拓海, K. Watanabe/渡邉響, and S. Arima.
Image-Multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patterns.
Smart Innovation Systems and Technologies, Springer, 48-61, 2023.
- H. Itou/伊東寛紀, Kyo Watanabe/渡邉響, and S. Arima.
Image-Multimodal Data Analysis for Defect Classification: Case Study of Industrial Printing.
Smart Innovation Systems and Technologies, Springer, 35-47, 2023.
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特願 Patent JP (Application No.) 2023-097287
「判定装置、 学習装置及び教師データ生成装置」
発明者:有馬澄佳, 伊東寛紀, 渡邉響, 高田大右, 前田拓海, 星野紗来
出願人:筑波大学, 出願日:2023年6月13日
2022年度 査読付き論文/Publications (reviewed)
- H. BU/卜恵貞, T. NAGATA/永田拓也, K. ONODERA/小野寺翔, and S. ARIMA, "Sparse reluctant interaction modelling with Convex Hull Approximation - For accurate modelling of highly correlated variables based on diverse nearly optimal solutions -," The Journal of the Japan Industrial Management Association, 73巻4E, pp.1-10, 2023.
- S. ARIMA, S. MORIE/森江翔, Y. SASAKI/佐々木優, Yuto KATAOKA/片岡弓澄, C. Mao/毛晨丁, J. LIN/藺嘉 "Data-driven Modeling for Production Dynamics," IEEE International Symposium on Semiconductor Manufacturing, MS-057/pp.1-4, IEEE, Dec 2022.
- C. MAO/毛晨丁, J. LIN/藺嘉, S. ARIMA, "Self-tuning Optimization to Compatible the Delivery and Low Energy Consumption," IEEE International Symposium on Semiconductor Manufacturing, ES-062/pp.1-4, IEEE, Dec 2022.
- J. LIN/藺嘉, T. ONO/大野智暉, Q. ZHU/祝清新, C. MAO/毛晨丁, S. MORIE/森江翔, H. TAKAHASHI/高橋春樹, S. ARIMA, "MULTI-CRITERIA OPTIMIZATION OF N-STEP HYBRID FLOW-SHOP SCHEDULING - MAKE-TO-ORDER CASES WITH BATCH PROCESS -," Proceedings of the 2022 International Symposium on Flexible Automation, ISCIE & ASME, ISFA2022-041/pp.1-8(full paper), Jul-2022.
2021年度 査読付き論文/Publications (reviewed)
- L. Qin/覃麗敏, T. Nagata/永田拓也, K. Handa/半田滉太朗, K. Watanabe/渡邉響, T. Maeda/前田拓海, S. Arima,
"Interaction Modelings for Industrial Data - for final quality estimation and proess integration,"
Proceeding of AEC/APC symposium Asia 2021, TDA-015, Nov-2021. - Kotsuka Yuhei/小塚雄平, Sumika Arima,
"Variable Selection for Correlated High-dimensional Data with Infrequent Categorical Variables: based on Sparse Sample Regression and Anomaly Detection Technology,"
Smart Innovation Systems and Technologies, Springer, 109-125, June-2021.
- 藺嘉,佐々木優,森江翔,田中瑛理,有馬澄佳
日本経営工学会論文誌,72(1), 75-87, 2021.
2020年度 査読付き論文/Publications (reviewed)
- T. Tsuji, S. Arima, "Automatic multi-class classification of tiny and faint printing defects
based on semantic segmentation," Smart Innovation Systems and Technologies, Springer, 101-113, June-2020.
- Z. Zhao, Y. Nishi, and S. Arima, "Interaction effects of environment and defect features to
human cognition and skills in visual inspections," Smart Innovation Systems and Technologies, Springer, 431-448, June-2020.
- 日本経営工学会秋季大会 4件(※発表&予稿集/査読なし)
- !! 祝・Best Presentation Award!!
大沼悠人, 有馬澄佳 「微小欠点の高精度検出手法の構築と検証」, 日本経営工学会秋季大会2020要綱集, pp1-4, Oct-2020.
(2019年度日本経営工学会 優秀学生賞受賞 卒業研究)
- 大野智暉, 有馬澄佳 「スマートフォンアプリの起動順序に着目したユーザーセグメント分析」, 日本経営工学会秋季大会2020要綱集, pp1-4, Oct-2020.
- 小川陽平, 有馬澄佳 「従属需要の予測手法の構築と検証」, 日本経営工学会秋季大会2020要綱集, pp1-4, Oct-2020.
- 半田滉太朗, 有馬澄佳 「スマホアプリ市場におけるヘビーユーザーのアプリ所持パターンと次期インストール数の関係」, 日本経営工学会秋季大会2020要綱集, pp1-4, Oct-2020.
2019年度 査読付き論文/Publications (reviewed)
- 特許:特願2020-038172号
「欠陥検出分類システム及び欠陥判定トレーニングシステム」
発明者:筑波大学 有馬澄佳, 辻拓幹, 大沼悠斗, 西雄介 (有馬研).
所有者:筑波大学、出願日:2020年3月5日.
- Submitted:Multi-dimensional VM Modeling based on Variable Selection Evaluations for High-dimensional Data,
Huizhen BU, Takuya NAGATA, Sumika ARIMA
IEEE Transaction on Semiconductor Manufacturing,pp.1-11 - Accepted(but Canceled): "Automatic multi-class classification of tiny printing defects based on semantic segmentation,"
T. Tsuji, S. Arima
Proceedings of the International Conference on Pattern Recognition Applications and Methods 2020, pp.1-10. - !!Student Award!! Integrated 2D quality VM modeling:Upscaling and evaluations of High-dimension Low-samples
Huizhen BU, Sumika ARIMA
Proceedings of AEC/APC Symposium Asia 2019/pp.1-4, 2019-11. (Oral) - Evaluations of Multi-dimension VM modeling:Low-samples open data and High-samples scalable data
Sumika ARIMA, Huizhen BU
Proceedings of AEC/APC Symposium Asia 2019/pp.1-4, 2019-11. (Poster) - Feature Extractions from a High-dimension Low-samples Data for Multi-dimension Virtual Metrology,
S.ARIMA/有馬澄佳, H. BU/卜恵貞, Y. ONUMA/大沼悠人, K. HANDA/半田滉太郎, T. NAGATA/永田拓也
Proceedings of The International Symposium on Semiconductor Manufacturing 2019 (Joint symposium e-MDC and ISSM2019), pp.1-4, Sep-2019(in Shinchu, Taiwan). - Applications of Hybrid flowshop schedulings under dynamic constraints of queue time and capacities,
M. TANAKA/田中元晴, K. NISHIZAWA/西澤奎太, T. OHNO/大野智暉, Y. OGAWA/小川陽介, S. ARIMA/有馬澄佳,
Proceedings of The International Symposium on Semiconductor Manufacturing 2019 (Joint symposium e-MDC and ISSM2019), pp.1-4, Sep-2019 (in Shinchu, Taiwan). - Development and Evaluation of Chat-bot Systems :The applications of the citizen service procedure, Y. Kotsuka/小塚雄平, R. Murakami/村上僚, S. ARIMA/有馬澄佳
Proceedings of IIAI 8th International Congress on Advanced Applied Informatics(AAI2019), pp.1-6 (Full paper), July-2019.
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2018年度 査読付き論文/Publications (reviewed)
- Applications of Sparse Modelling and Principle Component Analysis for the Virtual metrology of comprehensive multi-dimensional quality
S. ARIMA/有馬澄佳, T. NAGATA/永田拓也, H. Bu/卜恵貞, S. SHIMADA/島田颯己,
Proceedings of International Conference on Operations Research and Enterprise Systems (ICORES) 2019, Feb.19-21, 2019 (in PRAGUE, Czech Republic). - Real-time Allocation of Multi-Type Production Resource with Due Date grouping for MTO Manufacturing –Semiconductor Wafer Test Process
S. Arima, M. Tanaka/田中元晴
Proceedings of The International Symposium on Semiconductor Manufacturing 2018 (ISSM2018), pp.1-4/MC-052, 2018-Dec.10-11th. - Simultaneous Resource Allocation of Multi Resource Constrained Production
S. Arima, H. Motomiya/本宮広之,
Proceedings of The International Symposium on Semiconductor Manufacturing 2018 (ISSM2018), pp.1-4/MC-059, 2018-Dec.10-11th. - Dynamic Capacity Allocation and Scheduling for Multi-type Resource Sharing Systems
H. Bu, H/卜恵貞, H. Motomiya/本宮広之, S. Arima
Proceedings of The 13th International Symposium on Operations Research and its Applications in engineering, technology and management (ISORA 2018), pp.1-12/S42, 2018-Aug. 22-26th - Forecasting Call Center Arrivals using a Hybrid Model composed by Multiple Regression and LSTM
Y. Akiyama/秋山裕, Y. Zhang/張羽トン, H. Sato, S. Arima
Proceedings of The 13th International Symposium on Operations Research and its Applications in engineering, technology and management (ISORA 2018), pp.1-6/S24, 2018-Aug. 22-26th - Common sensing and Analyses to visualize a Production Process with Parallely Utilized Resource –Job-shop and Flow-shop cases
Sumika ARIMA, M. TANAKA/田中元晴, T. NAGATA/永田拓也, Y. NISHI/西雄介
Proceedings of IIAI 7th International Congress on Advanced Applied Informatics (AAI2018)/pp.1-6, 2018-07 - Development of a Hybrid-flow Scheduling System Considering with Individual Due-date and Uncontrollable Processing Time for MTO Production
Sumika ARIMA, K.SHINODA/篠田憲汰,K.ONODERA/小野寺翔
Proceedings of 7th International Congress on Advanced Applied Informatics/pp.1-5, 2018-07 - Work Study System Using Indoor Positioning Technology
Sumika ARIMA, T. TSUJI/辻拓幹, Y. KOTSUKA/小塚雄平
Proceedings of 7th International Congress on Advanced Applied Informatics/pp.1-6, 2018-07
2017年度
- Sparse Modeling for Automatic Extraction of Variables to build accurate Virtual Metrology Model
Sumika ARIMA, Yuri ISHIZAKI/石崎祐莉, HuiZhen Bu/卜恵貞
Proceedings of AEC/APC Symposium Asia 2017/pp.1-4, 2017-11 - Dynamic Scheduling of Product-mix Production Systems of MTS and MTO
Sumika ARIMA, Yutong ZHANG, Yutaka AKIYAMA,Toshiyuki TAKAMATSU/高松利幸,
Proceedings of IEEE International Symposium on Semiconductor Manufacturing 2017/pp.1-4, 2017-09 - Real-time Resource Allocations and Shceduling of Product-mix Production Systems with Multi-type jigs
Sumika ARIMA, Yutaka AKIYAMA/秋山裕, H. Bu/卜恵貞
Proceedings of IEEE international symposium on Semiconductor Manufacturing (Joint symposium e-MDC and ISSM2017)/pp.1-4, 2017-09 - 国際特願(台湾)01151072, 発明I594100 「最適指標生成装置、最適指標生成方法、最適指標生成プログラム及び最適指標生成サーバ」(発明者:畠(有馬)澄佳、山崎雄大, 出願人:筑波大学) (登録: 2017年8月1日)
- 優秀賞受賞!
「民間データの活用による既存指標の精度向上-地域活性度指標と因果構造モデル」
有馬澄佳研究室, 新しい経済産業指標開発コンテスト2016最終報告会要綱/pp.1-28, 2017-02
2016年
- S. ARIMA, H. MOTOMIYA, Y. AKIYAMA: "Simultaneous Assignments of Multiple Types of Production Resources in Semiconductor Manufacturing," Proceedings of IEEE International Symposium on Semiconductor Manufacturing 2016, MC-O-067 (pp.1-4), IEEE, Dec. 2016.
- S. ARIMA, H. BU, K. KITAMOTO, et.al. "Optimal Production and Capacity Planning for Make-to-Order type Semiconductor Production Systems," Proceedings of IEEE International Symposium on Semiconductor Manufacturing 2016, MC-O-067 (pp.1-4), IEEE, Dec. 2016.
- 特許第6044977号(日本) 「最適指標生成装置、最適指標生成方法、最適指標生成プログラム及び最適指標生成サーバ」 (発明者:畠(有馬)澄佳、山崎雄大 、 出願人:筑波大学) (登録:2016年11月25日)
- (招待論文)有馬澄佳: 「半導体製造における装置/プロセスの監視・予測・処置のための機械学習とデータマイニング手法」, 精密工学会 プラナリゼーションCMPとその応用技術専門委員会 第150回研究会記念 招待論文集, 精密工学会, pp.1-6, 2016年6月20日.