
World Conference of AI-Powered Innovation and Inventive Design
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This book constitutes the proceedings of the 24th IFIP WG 5.4 International TRIZ Future Conference on AI-Powered Innovation and Inventive Design, TFC 2024, held in Cluj-Napoca, Romania, during November 6-8, 2024.
The 42 full papers presented were carefully reviewed and selected from 72 submissions. They were organized in the following topical sections:
Part I - AI-Driven TRIZ and Innovation
Part II - Sustainable and Industrial Design with TRIZ; Digital Transformation, Industry 4.0, and Predictive Analytics; Interdisciplinary and Cognitive Approaches in TRIZ; Customer Experience and Service Innovation with TRIZ.
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Content
.- Sustainable and Industrial Design with TRIZ.
.- Innovative Approach to Autonomous Lavender Harvesting Robot Design through Cognitive and Systematic Design Integration.
.- A New TRIZ-Based Approach to Design an Innovative Production System by Integrating Lean Tools and Functionalities.
.- Enhancing Lean Robotics in Industrial Applications through VPDT, Simulation, and TRIZ Integration.
.- Optimizing Green Hybrid Energy Systems through Cognitive Innovator Xcelerator (CIX).
.- Study of Mechanical Behavior of Polymer/Long Fiber Composite Parts: Maximizing Efficiency in 3D Printing through Multicriteria Optimization and Innovative Design.
.- Topological Optimization of a Car Module with TRIZ and Machine Learning.
.- An Analytical Model for Sustainable Product Ideation Based on Main Parameter Values and Social Network Data.
.- Earthquake Prediction Research Based on the TRIZ Philosophy.
.- Modeling and Evaluating Inventiveness with the Inventive Creation Score (SCI) Framework and Assessing the Inventiveness of Contemporary AI.
.- Digital Transformation, Industry 4.0, and Predictive Analytics.
.- Development of a TRIZ-Based Design Methodology for Digital Transformation.
.- Inventive Design for Transition to Industry 5.0 based on Risk Management: Statement and first proposition.
.- Predictive Data Analysis platform, for Optimizing and Automating the distribution of Car Insurance Products, based on telematic data.
.- Enhancing cosmetic Supply chain efficiency through demand forecasting using machine learning.
.- Employing Clustering Techniques and Association Rules for Client Segmentation and Attribute Dependency Mining in the Insurance Business Domain.
.- Research on method of flexible mold surface formation based on point cloud and neural network.
.- Comparative modular product development using TRIZ, AI, and VA++.
.- Interdisciplinary and Cognitive Approaches in TRIZ.
.- A Novel Interdisciplinarity Model Towards Inter-Domain Information Pairing.
.- Systematic prototyping using TRIZ.
.- Partially defined logical operators in cause-effect models.
.- Inventive Design for Decision-Making: Cutting Costs and Reducing Carbon Footprint in Buildings refurbishment.
.- Leveraging Information Retrieval pipelines for inventive design: Application in efficient Lattice structures Manufacturing.
.- Information Extraction to Identify Novel Technologies and Trends in Renewable Energy.
.- Dynamic Truth: Immutable Humans, AI and Innovation.
.- Prompting and learning to detect major life events from tweets.
.- Customer Experience and Service Innovation with TRIZ.
.- TRIZ in customer experience management - the study of current research problems.
.- Contributions on the interoperability of sub-national service provision through the integration of common procedures.
.- The impact of Artificial Intelligence in the Project Manager role.
.- Standardization of Engineering and Systemic Innovation.
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