A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research …

S Ren, Y Zhang, Y Liu, T Sakao, D Huisingh… - Journal of cleaner …, 2019 - Elsevier
Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …

Industrial maintenance decision-making: A systematic literature review

E Ruschel, EAP Santos, EFR Loures - Journal of Manufacturing Systems, 2017 - Elsevier
The increasing competition among industries has leveraged the emergence of various tools
and methods for maintenance decision-making support. This paper identifies in literature the …

Data-driven smart manufacturing

F Tao, Q Qi, A Liu, A Kusiak - Journal of Manufacturing Systems, 2018 - Elsevier
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …

A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products

Y Zhang, S Ren, Y Liu, S Si - Journal of cleaner production, 2017 - Elsevier
Cleaner production (CP) is considered as one of the most important means for
manufacturing enterprises to achieve sustainable production and improve their sustainable …

Condition based maintenance of machine tools—A review

D Goyal, BS Pabla - CIRP Journal of Manufacturing Science and …, 2015 - Elsevier
During the operation, machines generate vibrations which result in deterioration of machine
tools eventually causing failure of some subsystems or the machine itself. The vibration …

[HTML][HTML] Condition-based maintenance—an extensive literature review

E Quatrini, F Costantino, G Di Gravio, R Patriarca - Machines, 2020 - mdpi.com
This paper presents an extensive literature review on the field of condition-based
maintenance (CBM). The paper encompasses over 4000 contributions, analysed through …

Big Data enabled Intelligent Immune System for energy efficient manufacturing management

S Wang, YC Liang, WD Li, XT Cai - Journal of cleaner production, 2018 - Elsevier
Abstract The Big Data driven approach has become a new trend for manufacturing
optimisation. In this paper, an innovative Big Data enabled Intelligent Immune System (I 2 S) …

Condition based maintenance of bearings and gears for fault detection–A review

S Kumar, D Goyal, RK Dang, SS Dhami… - Materials Today …, 2018 - Elsevier
Abstract Machines without vibrations in the working environment are something non-
existent, which create vibrations and henceforth result in deterioration of machine …

Establishment of maintenance inspection intervals: an application of process mining techniques in manufacturing

E Ruschel, EAP Santos, EFR Loures - Journal of Intelligent Manufacturing, 2020 - Springer
Reducing costs and increasing equipment availability (uptime) are among the main goals of
industrial ventures. Well defined interval durations between maintenance inspections …

Remaining useful life prediction using prognostic methodology based on logical analysis of data and Kaplan–Meier estimation

A Ragab, MS Ouali, S Yacout, H Osman - Journal of Intelligent …, 2016 - Springer
Most of the reported prognostic techniques use a small number of condition indicators
and/or use a thresholding strategies in order to predict the remaining useful life (RUL). In this …