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ICIEA-EU 2027: International Conference on Industrial Engineering and Applications (Europe)

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投稿締切日:
2026-08-20
通知日:
2026-09-30
開催日:
2027-01-13
開催地:
Porto, Portugal
開催回数:
主催者:
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会伴インデックス (CP-I)

51.8 / 100
全 5,697 件中 第 1,266 位 · 上位 23%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
73
コミュニティの注目度 (10%)
15
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：14 · 過去 24 か月にこのページを開いた研究者：6 人

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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-12

論文募集

ICIEA-EU 2027 (International Conference on Industrial Engineering and Applications (Europe)) is an academic conference held in Porto, Portugal on 2027-01-13. The paper submission deadline is 2026-08-20. Acceptance notifications are sent on 2026-09-30.

ICIEA-EU 2027 will provide a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Industrial Engineering and its applications. Relevant topics include, but are not limited to: Special Session I: Machine Learning and Industrial Engineering with Applications Special Session II: Recent Advances in Multi-robot Systems: Modeling, Optimization and Applications Advanced Manufacturing Technology and Application Advanced Design and Manufacturing Methods Lean and Agile Manufacturing 3D Printing and Additive Manufacturing Processes Machining, Forging, and Forming Technologies Manufacturing Process Optimization Smart Production Systems Reliability, Maintenance, and Prognostics Artificial Intelligence for Manufacturing Machine Learning in Production Systems Digital Twin for Manufacturing Systems Human-Machine Collaboration in Production Cyber-Physical Production Systems Manufacturing Systems and Automation Industry 4.0 and Industrial IoT Production Planning, Scheduling, and Control Workflow Technologies and Process Optimization Virtual Engineering and Simulation Hybrid Products and Multidisciplinary Product Development Industrial Robotics and Autonomous Systems Sensors, Monitoring, and Inference for Manufacturing Automation, Discrete Event Systems, and MES Integration Automation and Discrete Event Systems AI-Driven Production Systems Digital Twin Applications for Real-Time Monitoring and Optimization Smart Factory Implementation and Case Studies Artificial Intelligence and Digital Technologies in Manufacturing Artificial Intelligence in Production Optimization Predictive Maintenance using AI and IoT Machine Learning for Process Control Computer Vision and Robotics in Manufacturing Digital Twin Modeling and Simulation Edge Computing and Smart Manufacturing Analytics AI-Assisted Quality Control and Inspection Knowledge-Based Production Systems Data-Driven Decision Making for Industrial Applications Industrial Information, Analytics, and Digital Transformation Big Data Analytics and Decision Support in Manufacturing Industrial Internet of Things (IIoT) Applications Blockchain and Secure Supply Chain Management Engineering Economy, Cost Analysis, and Project Management Data Science for Industrial Processes Operations Research and Optimization Models Smart Logistics and Intelligent Production Networks Simulation, Digital Twins, and Virtual Factories Human-Computer Interaction in Industry Sustainable Industrial Production and Innovation Sustainable Industrial Engineering and Lean Production Green Manufacturing and Energy-Efficient Systems Industrial Waste Management, Recycling, and Circular Economy Occupational Health, Safety, and Sustainability Product Lifecycle Management and Sustainable Design Energy-Saving Technologies and New Energy Vehicles Industrial Equipment Innovation and Upgrading Industrial Layout Optimization and Ergonomics ·Smart Materials and Eco-Friendly Processes Industrial Logistics, Warehousing, and Material Handling Industrial Logistics Systems Design and Optimization Smart Warehousing, Intralogistics, and Distribution Systems Material Handling Systems and Automated Storage/Retrieval Systems Flexible Automation for Logistics, Warehousing, and Material Flow Human-Robot Collaboration in Warehousing and Material Handling Collaborative Robots, Mobile Robots, and Autonomous Guided/Autonomous Mobile Vehicles AI-Driven Warehouse Management, Order Picking, and Routing Optimization Digital Twins and Simulation for Logistics and Material Handling Systems Ergonomics, Safety, and Human Factors in Logistics Operations Sustainable and Resilient Logistics Networks and Supply Chains Data Analytics, IoT, and Real-Time Decision Support for Industrial Logistics
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