Cavallucci / Brad / Livotov World Conference of AI-Powered Innovation and Inventive Design

24th IFIP WG 5.4 International TRIZ Future Conference, TFC 2024, Cluj-Napoca, Romania, November 6–8, 2024, Proceedings, Part II
Erscheinungsjahr 2024
ISBN: 978-3-031-75923-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 736, 434 Seiten, eBook

Reihe: IFIP Advances in Information and Communication Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Cavallucci, Denis

Brad, Stelian

Livotov, Pavel

Inhaltsverzeichnis

.- 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.