Manufacturing quality assessment in the industry 4.0 era: a review

NG Markatos, A Mousavi - Total Quality Management & Business …, 2023 - Taylor & Francis
Maintaining high-quality standards has consistently been the main goal of industries. With
rising demand and customisation, industries must strike a balance between cost …

Single-point and surface quality assessment algorithm in continuous production with the use of 3D laser doppler scanning vibrometry system

L Scislo - Sensors, 2023 - mdpi.com
In the current economic situation of many companies, the need to reduce production time is
a critical element. However, this cannot usually be carried out with a decrease in the quality …

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

LS Goecks, AF Habekost, AM Coruzzolo… - Applied System …, 2024 - mdpi.com
Digital transformations in manufacturing systems confer advantages for enhancing
competitiveness and ensuring the survival of companies by reducing operating costs …

[HTML][HTML] Role of Industry 4.0 in zero-defect manufacturing: A systematic literature review and a conceptual framework for future research directions

MM Hossain, G Purdy - Manufacturing Letters, 2024 - Elsevier
Our study aimed to explore the crucial role of Industry 4.0 in achieving the goal of zero-
defect manufacturing. We employed a systematic literature review methodology to examine …

Assessment of smart transformation in the manufacturing process of aerospace components through a data-driven approach

M Bernabei, M Eugeni, P Gaudenzi… - Global Journal of Flexible …, 2023 - Springer
Smart technologies provide extensive benefits in manufacturing, but many industries, such
as aerospace components, are still lagging in their adoption. In such a sector, data-driven …

Aspects of module placement in machine learning operations for cyber physical systems

P Ruf, C Reich… - 2022 11th Mediterranean …, 2022 - ieeexplore.ieee.org
The traditional field of industrial manufacturing is in the process of being revolutionized as
machines become smart and processes are translated to and perfected by digital systems …

Reinforcement learning for process time optimization in an assembly process utilizing an industry 4.0 demonstration cell

P Burggräf, F Steinberg, B Heinbach, M Bamberg - Procedia CIRP, 2022 - Elsevier
The process time of a production process is an important result of planning in supply
networks, which in turn is a defining parameter, significant for further organizational …

Developing a quality assessment model (QAM) using logical prediction: Binary validation

SMM Dandan, OFM Al-ghaswyneh - International Journal of …, 2024 - dergipark.org.tr
This study focuses on evaluating the quality of competency transfer through various
assessment methods and results, considering diverse stakeholder perspectives. The …

Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process

NG Markatos, A Mousavi, G Pippione, R Paoletti - Electronics, 2023 - mdpi.com
The challenges of defects in manufacturing and assembly processes in optoelectronic
industry continue to persist. Defective products cause increased time to completion (cycle …

Intelligent and Automated Product Quality Assurance System using Machine Learning

A Arora, R Gupta - Journal of Electrical Systems, 2024 - search.proquest.com
The paper discusses the use of advanced technologies like the Internet of Things (loT) and
cyber-physical systems (CPS) to enhance product quality assurance in production …