A systematic literature review of machine learning methods applied to predictive maintenance

TP Carvalho, FA Soares, R Vita, RP Francisco… - Computers & Industrial …, 2019 - Elsevier
The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

[HTML][HTML] Develo** a blockchain framework for the automotive supply chain: A systematic review

KRK Reddy, A Gunasekaran, P Kalpana… - Computers & Industrial …, 2021 - Elsevier
As world is affected by demand volatility; process uncertainty; supply chain complexity and
information ambiguity forming a VUCA world. To manage this scenario, industries are …

[HTML][HTML] Industry 4.0 and the human factor–a systems framework and analysis methodology for successful development

WP Neumann, S Winkelhaus, EH Grosse… - International journal of …, 2021 - Elsevier
The fourth industrial revolution we currently witness changes the role of humans in
operations systems. Although automation and assistance technologies are becoming more …

Hybridizations in line balancing problems: A comprehensive review on new trends and formulations

O Battaïa, A Dolgui - International Journal of Production Economics, 2022 - Elsevier
In the research on production economics, line balancing is an intensively studied
combinatorial optimisation problem. In our previous comprehensive survey on line …

Ageing workforce management in manufacturing systems: state of the art and future research agenda

M Calzavara, D Battini, D Bogataj… - … Journal of Production …, 2020 - Taylor & Francis
The workforce ageing phenomenon is recently affecting most of the Organisation for
Economic Co-operation and Development (OECD) member countries, due to a general …

[HTML][HTML] Workplace 4.0: Exploring the implications of technology adoption in digital manufacturing on a sustainable workforce

N Leesakul, AM Oostveen, I Eimontaite, ML Wilson… - Sustainability, 2022 - mdpi.com
As part of the Industry 4.0 movement, the introduction of digital manufacturing technologies
(DMTs) poses various concerns, particularly the impact of technology adoption on the …

Extending the lean value stream map** to the context of Industry 4.0: An agent-based technology approach

W de Paula Ferreira, F Armellini… - Journal of Manufacturing …, 2022 - Elsevier
With the advancement of the 4th industrial revolution and its enabling technologies,
researchers and practitioners discuss the mutual relationships and integration of Lean …

[HTML][HTML] Never too late to learn: Unlocking the potential of aging workforce in manufacturing and service industries

T Ranasinghe, EH Grosse, CH Glock… - International Journal of …, 2024 - Elsevier
This study systematically reviews 51 articles from Scopus and Web of Science databases to
investigate the learning of aging workers in the manufacturing and service industries. It …

Deploying cobots in collaborative systems: major considerations and productivity analysis

Y Cohen, S Shoval, M Faccio… - International Journal of …, 2022 - Taylor & Francis
Collaborative robots (cobots) are important components of the Industry 4.0 paradigm and
smart manufacturing. Cobots are known for their ability to interact with the operators in a …

[HTML][HTML] Opportunities for using eye tracking technology in manufacturing and logistics: Systematic literature review and research agenda

T Zheng, CH Glock, EH Grosse - Computers & Industrial Engineering, 2022 - Elsevier
Workers play essential roles in manufacturing and logistics. Releasing workers from routine
tasks and enabling them to focus on creative, value-adding activities can enhance their …