Machine learning and data mining in manufacturing

A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

Human-in-loop: A review of smart manufacturing deployments

M Bhattacharya, M Penica, E O'Connell, M Southern… - Systems, 2023 - mdpi.com
The recent increase in computational capability has led to an unprecedented increase in the
range of new applications where machine learning can be used in real time …

Multi-level and relevance-based parallel clustering of massive data streams in smart manufacturing

A Bagozi, D Bianchini, V De Antonellis - Information Sciences, 2021 - Elsevier
Parallel implementations of incremental clustering have been provided to increase
performances of data stream processing in smart factories, to enable real-time anomaly …

Dealing with missing usage data in defect prediction: A case study of a welding supplier

M Gashi, P Ofner, H Ennsbrunner, S Thalmann - Computers in industry, 2021 - Elsevier
Abstract End-of-line (EoL) testing is performed to determine product quality by ensuring
reliable performance. Even though low-quality products may pass EoL testing, they have a …

Un enfoque de machine learning para la predicción de la calidad de tableros contrachapados

C Urra-González, M Ramos-Maldonado - Maderas-Cienc Tecnol, 2023 - revistas.ubiobio.cl
Dado el impacto que tiene en la productividad y en la reducción de costos, la toma de
decisiones es uno de los aspectos más requeridos en la industria. En la fabricación de …

Selection of an industrial robot for assembly jobs using multi-criteria decision making methods

M Suszyński, M Rogalewicz - Management and Production …, 2020 - yadda.icm.edu.pl
With Industry 4.0 in full swing, attempts are being made to replace human labour with
machines through the transformation of mechanised and automated production solutions …

A machine learning approach for plywood quality prediction

C Urra-González, M Ramos-Maldonado - Maderas. Ciencia y …, 2023 - SciELO Chile
Dado el impacto que tiene en la productividad y en la reducción de costos, la toma de
decisiones es uno de los aspectos más requeridos en la industria. En la fabricación de …

[PDF][PDF] The Use of Cluster Analysis to Assess the Wear Resistance of Cermet Coatings Sprayed by High Velocity Oxy-Fuel on Magnesium Alloy Substrate

E Jonda, D Fydrych, L Łatka… - Advances in Science and …, 2024 - astrj.com
Cermet coatings are one of the best surface protection of machine elements against wear.
On the other hand, the most universal and economically justified method of applying such …

Applying machine learning (ML) in the supply chain: predict the quality defect percentage in delivery from supplier

LE Simão, AM dos Santos - Revista Gestão & …, 2024 - revistagt.fpl.emnuvens.com.br
Study Objective: The objective of this article was to describe the process of developing and
implementing an ML model in the supply chain to predict the percentage of defective parts …

Dynamic Adaptation in Industrial IoT Systems

AN Lam - 2021 - diva-portal.org
The evolution of the current technological landscape has opened an emergent paradigm
that enables interoperability between the digital and physical world, leading to a new …