Actionable cognitive twins for decision making in manufacturing

JM Rožanec, J Lu, J Rupnik, M Škrjanc… - … Journal of Production …, 2022 - Taylor & Francis
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive
capabilities through a knowledge graph and artificial intelligence models that provide …

[HTML][HTML] Quality 4.0 maturity assessment in light of the current situation in the Czech Republic

J Nenadál, D Vykydal, P Halfarová, E Tylečková - Sustainability, 2022 - mdpi.com
Production companies throughout the world are currently facing challenges with the
extensive transformation of their processes with regard to digitalisation and other features of …

[HTML][HTML] A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry

B Bártová, V Bína, L Váchová - Production, 2022 - SciELO Brasil
Paper aims This research aims to analyze the primary studies published in recent years
focusing on defect detection or classification in manufacturing and extract information about …

Exploring the landscape of quality 4.0: a comprehensive review of its benefits, challenges, and critical success factors

M Mahin, N Kadasah, A Alsabban… - Production & …, 2024 - Taylor & Francis
ABSTRACT Quality 4.0 (Q4. 0), integrates new digital technologies with traditional quality
management to improve operational excellence across industries. This literature review …

[HTML][HTML] Total quality management in the context of University 4.0: New game new rules

N Ülker - Frontiers in Education, 2023 - frontiersin.org
There have been many changes in the field of higher education in accordance with the
advancements brought by the new industrial era, which is defined as Industry 4.0 …

[HTML][HTML] Predictive quality model for customer defects

AC Silva, J Machado, P Sampaio - The TQM Journal, 2024 - emerald.com
Purpose In the context of the journey toward digital transformation and the realization of a
fully connected factory, concepts such as data science, artificial intelligence (AI), machine …

The Impact of Intelligent Objects on Quality 4.0

S Salimbeni, A Redchuk - International Conference on System-Integrated …, 2022 - Springer
The purpose of this work is to present the relationship that exists between Industry 4.0 (I4. 0),
smart objects and quality management, and how could benefit companies, users and the …

Implementation of Quality 4.0, a systematic review of approaches, root causes, and challenges

TR Sarker, JK Dunston - Quality Engineering, 2024 - Taylor & Francis
Abstract Implementation of Quality 4.0 in Industry 4.0 has elevated traditional Quality control
processes by adopting the latest technological developments. Approaches to implementing …

[PDF][PDF] Machine learning methods for diagnosing the causes of die-casting defects

A Okuniewska, M Perzyk… - Computer Methods in …, 2023 - bibliotekanauki.pl
The research was focused on analyzing the causes of high-pressure die-casting defects,
more specifically on casting leakage, which is considered perhaps the most important and …

Shaping a quality framework for IIoT companies

R Dovleac - MATEC Web of Conferences, 2022 - matec-conferences.org
The technological progress of the past century has led to the emergence of integrated
technologies such as those encompassed by the Internet of Things (IoT). Recently, IIoT …