An overview on the use of AI/ML in manufacturing MSMEs: solved issues, limits, and challenges

V De Simone, V Di Pasquale, S Miranda - Procedia Computer Science, 2023 - Elsevier
Abstract Artificial Intelligence (AI) and Machine Learning (ML) represent popular topics of
Industry 4.0. The use of these techniques, which are evolving rapidly in both academia and …

Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges

L Oldemeyer, A Jede, F Teuteberg - Management Review Quarterly, 2024 - Springer
While the topic of artificial intelligence (AI) in multinational enterprises has been receiving
attention for some time, small and medium enterprises (SMEs) have recently begun to …

Effective integration of low-cost digital manufacturing systems: a reference architecture driven approach

J Kaiser, G Hawkridge, D McFarlane… - … Journal of Computer …, 2024 - Taylor & Francis
Integration involves the systematic linking of system components, functions and solutions.
For digital systems comprising low-cost components, integration enables the sharing of …

Ubiquitous domain adaptation at the edge for vibration-based machine status monitoring

A Mukherjee, AK Parlikad… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
This article presents a ubiquitous domain adaptation (UDA) and generalizability technique
for vibration-based automated machine status monitoring at the edge. The method …

Evaluating the effectiveness of designs for low-cost digital manufacturing systems

J Kaiser, G Hawkridge, A Mukherjee, D McFarlane - Applied Sciences, 2023 - mdpi.com
There are many well-known systematic approaches to design the digital systems used in
manufacturing. However, there are only a few approaches that specifically deal with low-cost …

Configurable solutions for low-cost digital manufacturing: a building block approach

J Kaiser, Z Ling, G Yilmaz, D McFarlane… - 2022 IEEE 27th …, 2022 - ieeexplore.ieee.org
The creation of digital manufacturing solutions at low cost is characterised by a successive
development and a combination of disparate hardware and software elements. Modular …

A Low-cost Integration Approach for Distributed Manufacturing Information Systems

J Kaiser, G Hawkridge, G Yilmaz… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
As a stepping stone to Industry 4.0, integrating information systems leads to enhanced
functionalities, since data can be accessed by another system, and time savings during the …

[PDF][PDF] ARTHUR: Machine Learning Data Acquisition System with Distributed Data Sensors.

N Schneider, P Ruf, M Lermer, C Reich - CLOSER, 2023 - scitepress.org
On the way to the smart factory, the manufacturing companies investigate the potential of
Machine Learning approaches like visual quality inspection, process optimisation …

[HTML][HTML] Surface seal image dataset of sterile barrier packaging

JZ Diaz, P Corcoran - Data in Brief, 2024 - Elsevier
This manuscript delineates the constitution of a dataset engineered to bolster research
endeavours in the realm of automated inspection of seals pertinent to Medical Device …

Cost-effective digital transformation of SMEs through low-cost digital solutions

G Yilmaz, K Qurban, J Kaiser, DC McFarlane - 2023 - IET
Digital transformation is the process of using digital technologies to enhance business
processes. Although digital transformation has become significant for the sustainability of …