[HTML][HTML] Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges

PK Wan, TL Leirmo - Computers in Industry, 2023 - Elsevier
Zero defect manufacturing (ZDM) aims at eliminating defects throughout the value stream as
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …

Internet of ships: A survey on architectures, emerging applications, and challenges

S Aslam, MP Michaelides… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The recent emergence of Internet-of-Things (IoT) technologies in mission-critical
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …

A technology maturity assessment framework for industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing

FK Konstantinidis, N Myrillas, KA Tsintotas… - … Journal of Production …, 2023 - Taylor & Francis
When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …

Assessment of industry 4.0 for modern manufacturing ecosystem: A systematic survey of surveys

FK Konstantinidis, N Myrillas, SG Mouroutsos… - Machines, 2022 - mdpi.com
The rise of the fourth industrial revolution aspires to digitize any traditional manufacturing
process, paving the way for new organisation schemes and management principles that …

Automating dairy production lines with the yoghurt cups recognition and detection process in the Industry 4.0 era

FK Konstantinidis, V Balaska, S Symeonidis… - Procedia Computer …, 2023 - Elsevier
The explosion of the digitisation of traditional industrial processes and procedures is
consolidating a positive impact on modern society by offering a critical contribution to its …

A multi-domain mixture density network for tool wear prediction under multiple machining conditions

G Kim, SM Yang, S Kim, DY Kim, JG Choi… - … Journal of Production …, 2023 - Taylor & Francis
Accurate tool wear prediction is an essential task in machining processes because it helps
to schedule efficient tool maintenance and maximise the tool's useful life, thus contributing to …

Machine Vision—Moving from Industry 4.0 to Industry 5.0

M Tzampazaki, C Zografos, E Vrochidou… - Applied Sciences, 2024 - mdpi.com
The Fourth Industrial Revolution combined with the advent of artificial intelligence brought
significant changes to humans' daily lives. Extended research in the field has aided in both …

Multi-sensor cyber-physical sorting system (cpss) based on industry 4.0 principles: A multi-functional approach

FK Konstantinidis, S Sifnaios, G Tsimiklis… - Procedia Computer …, 2023 - Elsevier
Products global demand constantly grows, along with drifts of the volume of waste produced,
thus having a negative impact on the environment. Besides the advancement of artificial …

Dimensionality reduction through visual data resampling for low-storage loop-closure detection

KA Tsintotas, S An, IT Papapetros… - … on Imaging Systems …, 2022 - ieeexplore.ieee.org
As loop-closure detection plays a fundamental role in any simultaneous localization and
mapping (SLAM) system, through its ability to recognize previously visited locations, one of …

Towards 3D printed modular unmanned aerial vehicle development: The landing safety paradigm

T Mitroudas, KA Tsintotas, N Santavas… - … on Imaging Systems …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are at the fore-front of this century's technological shift,
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …