Big data analytics for intelligent manufacturing systems: A review

J Wang, C Xu, J Zhang, R Zhong - Journal of Manufacturing Systems, 2022 - Elsevier
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

[HTML][HTML] Data science for engineering design: State of the art and future directions

F Chiarello, P Belingheri, G Fantoni - Computers in Industry, 2021 - Elsevier
Engineering design (ED) is the process of solving technical problems within requirements
and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …

Data-driven smart manufacturing

F Tao, Q Qi, A Liu, A Kusiak - Journal of Manufacturing Systems, 2018 - Elsevier
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …

Implications of data-driven product design: From information age towards intelligence age

Z Wang, P Zheng, X Li, CH Chen - Advanced Engineering Informatics, 2022 - Elsevier
Abstract Data-driven design (D 3), a new design paradigm benefited from advanced data
analytics and computational intelligence, has gradually promoted the research of data …

A survey on context-aware recommender systems based on computational intelligence techniques

A Abbas, L Zhang, SU Khan - Computing, 2015 - Springer
The demand for ubiquitous information processing over the Web has called for the
development of context-aware recommender systems capable of dealing with the problems …

Affective design using machine learning: a survey and its prospect of conjoining big data

KY Chan, CK Kwong, P Wongthongtham… - … Journal of Computer …, 2020 - Taylor & Francis
Customer satisfaction in purchasing new products is an important issue that needs to be
addressed in today's competitive markets. A product with good affective design excites …

A formal ontology-based spatiotemporal mereotopology for integrated product design and assembly sequence planning

E Gruhier, F Demoly, O Dutartre, S Abboudi… - Advanced Engineering …, 2015 - Elsevier
This paper introduces the development of a formal ontology based on spatiotemporal
mereotopology in the context of integrated assembly design and sequence planning. The …

Flame image-based burning state recognition for sintering process of rotary kiln using heterogeneous features and fuzzy integral

W Li, D Wang, T Chai - IEEE Transactions on Industrial …, 2012 - ieeexplore.ieee.org
Accurate and robust recognition of burning state for sintering process of rotary kiln plays an
important role in the design of image-based intelligent control systems. Existing approaches …

Approaches for identifying consumer preferences for the design of technology products: A case study of residential solar panels

HQ Chen, T Honda, MC Yang - Journal of …, 2013 - asmedigitalcollection.asme.org
This paper investigates ways to obtain consumer preferences for technology products to
help designers identify the key attributes that contribute to a product's market success. A …

Prediction of methane production in wastewater treatment facility: A data-mining approach

A Kusiak, X Wei - Annals of Operations Research, 2014 - Springer
A prediction model for methane production in a wastewater processing facility is presented.
The model is built by data-mining algorithms based on industrial data collected on a daily …