Geometrical Enhancements Based on Data-Driven Design Decisions
Date Issued
2025-04-29
Author(s)
DOI
http://doi.org/10.1201/9781003621102
Abstract
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features.
This book:
Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis
Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis
Discusses multi-objective optimization for product design and development through data-driven decision-making
Explains information processing and analysis through data visualization and data mining
Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications
It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.
This book:
Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis
Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis
Discusses multi-objective optimization for product design and development through data-driven decision-making
Explains information processing and analysis through data visualization and data mining
Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications
It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.