2021
Data science for engineering design: State of the art and future directions
Filippo Chiarello, Paola Belingheri, Gualtiero Fantoni
Computers in Industry Volume 129, August 2021, 103447.
Under a Creative Commons license
Panel Discussion: The Future of AI in Product Design
July 9, 2021
https://www.altair.com/newsroom/articles/panel-discussion-the-future-of-ai-in-product-design/
Insights vs Product vs Engineering Data Science, and how each provides value to your business
Published on April 22, 2021
Gordon S.
Head of Product
Analytics-to-Value: Digital analytics optimizing products and portfolios
April 21, 2021 | Article
https://amplitude.com/product-analytics
https://research.polyu.edu.hk/en/publications/unlocking-the-power-of-big-data-analytics-in-new-product-developm
2018
In an analysis of more than 1,800 completed software projects, only 30 percent of them met their original delivery deadline and one in five of these did so by removing or deferring feature content. The average overrun is around 25 percent of the originally planned schedule. The performance of a sample of over 1,600 integrated-circuit-design projects was even more telling. Over 80 percent of those projects were late, and the average overrun was nearly 30 percent. Moreover, those projects were almost as likely to suffer an 80 percent overrun as they were to finish on time.
Estimating resources is a problem.
Today, some companies are adopting a new approach, one that uses powerful data analysis and modeling techniques to bring new clarity to the estimation of project-resource requirements.
Product life-cycle fortune
How can machine learning tools help an everyday engineer turn into a product life-cycle fortune teller?
MINESET is a web-based client server that gives engineers the ability to visualize millions of records interactively. The information parsed by the software can be as diverse as a temperature reading or a GPS location.
https://www.engineering.com/DesignSoftware/DesignSoftwareArticles/ArticleID/15061/Machine-Learning-Analyzes-Design-Spaces-and-Big-Data.aspx
2016
How engineers will use big data in product design?
Big data is going to impact many industries, and product design is no exception.
Better-informed product development. How would the way you design products change if you could learn not only how customers are using them, but where they are having trouble with them and what features they are ignoring altogether?
That information is going to be available now. Mechanical engineers have the opportunity for product insights through IoT-enabled devices as products can stream usage data back. A bike fork can capture force measurements. A utility cabinet can transmit internal temperature readings. The smart products will provide design engineering with practical information on how products are used in the field. Traditionally, engineers rely on marketers, customer visits to get information on product related issues. But IoT devices could provide volumes of reliable feedback now which is very relevant for engineering decisions.
https://www.ptc.com/en/cad-software-blog/big-data-brings-big-changes-to-product-design
How predictive analytics can boost product development?
August 2018In an analysis of more than 1,800 completed software projects, only 30 percent of them met their original delivery deadline and one in five of these did so by removing or deferring feature content. The average overrun is around 25 percent of the originally planned schedule. The performance of a sample of over 1,600 integrated-circuit-design projects was even more telling. Over 80 percent of those projects were late, and the average overrun was nearly 30 percent. Moreover, those projects were almost as likely to suffer an 80 percent overrun as they were to finish on time.
Estimating resources is a problem.
Today, some companies are adopting a new approach, one that uses powerful data analysis and modeling techniques to bring new clarity to the estimation of project-resource requirements.
Product life-cycle fortune
How can machine learning tools help an everyday engineer turn into a product life-cycle fortune teller?
MINESET is a web-based client server that gives engineers the ability to visualize millions of records interactively. The information parsed by the software can be as diverse as a temperature reading or a GPS location.
https://www.engineering.com/DesignSoftware/DesignSoftwareArticles/ArticleID/15061/Machine-Learning-Analyzes-Design-Spaces-and-Big-Data.aspx
2016
How engineers will use big data in product design?
Big data is going to impact many industries, and product design is no exception.
Better-informed product development. How would the way you design products change if you could learn not only how customers are using them, but where they are having trouble with them and what features they are ignoring altogether?
That information is going to be available now. Mechanical engineers have the opportunity for product insights through IoT-enabled devices as products can stream usage data back. A bike fork can capture force measurements. A utility cabinet can transmit internal temperature readings. The smart products will provide design engineering with practical information on how products are used in the field. Traditionally, engineers rely on marketers, customer visits to get information on product related issues. But IoT devices could provide volumes of reliable feedback now which is very relevant for engineering decisions.
https://www.ptc.com/en/cad-software-blog/big-data-brings-big-changes-to-product-design
Ud. 23.12.2021
Pub 17.8.2019
Google search terms: engineering product design and data analytics
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