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 68, 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.
.- 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.
