On predictive maintenance in industry 4.0: Overview, models, and challenges

M Achouch, M Dimitrova, K Ziane… - Applied Sciences, 2022 - mdpi.com
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …

[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

[HTML][HTML] Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030

J Bokrantz, A Skoogh, C Berlin, J Stahre - International Journal of …, 2017 - Elsevier
Despite extensive research on future manufacturing and the forthcoming fourth industrial
revolution (implying extensive digitalisation), there is a lack of understanding regarding the …

[HTML][HTML] Challenges and solutions in condition-based maintenance implementation-A multiple case study

E Ingemarsdotter, ML Kambanou, E Jamsin… - Journal of Cleaner …, 2021 - Elsevier
Previous literature has highlighted many opportunities for digital technologies, such as the
Internet of Things (IoT) and data analytics, to enable circular strategies, ie, strategies which …

[HTML][HTML] A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines

M Subramaniyan, A Skoogh, H Salomonsson… - Computers & Industrial …, 2018 - Elsevier
Smart manufacturing is resha** the manufacturing industry by boosting the integration of
information and communication technologies and manufacturing process. As a result …

A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing

Á García, A Bregon, MA Martínez-Prieto - Computers & Industrial …, 2022 - Elsevier
The recent COVID-19 outbreak impact on the world economy has boosted the increasing
business needs to force manufacturing plants adapting to unpredictable changes and …

Data-driven dynamic bottleneck detection in complex manufacturing systems

X Lai, H Shui, D Ding, J Ni - Journal of Manufacturing Systems, 2021 - Elsevier
Production (throughput) bottlenecks are the critical stations defining and constraining the
overall productivity of a system. Effective and timely identification of bottlenecks provide …

How industrial maintenance managers perceive socio-technical changes in leadership in the Industry 4.0 context

C Lundgren, C Berlin, A Skoogh… - International Journal of …, 2023 - Taylor & Francis
Innovations and advancements in technology create new opportunities to run and maintain
manufacturing plants, which we refer to as digitalised manufacturing. This development is …

A framework for prognostics and health management applications toward smart manufacturing systems

I Shin, J Lee, JY Lee, K Jung, D Kwon, BD Youn… - International Journal of …, 2018 - Springer
Prognostics and health management (PHM) has emerged as an intelligent solution to
improve the availability of manufacturing systems. PHM consists of system health …

Discovering critical KPI factors from natural language in maintenance work orders

M Navinchandran, ME Sharp, MP Brundage… - Journal of Intelligent …, 2022 - Springer
Optimizing maintenance practices is a continuous process that must take into account the
evolving state of the equipment, resources, workers, and more. To help streamline this …