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 …

Mining shop-floor data for preventive maintenance management: integrating probabilistic and predictive models

E Ruschel, EAP Santos, EFR Loures - Procedia Manufacturing, 2017 - Elsevier
Well-defined intervals between preventive maintenance inspections help increase the
availability of process equipment. This work integrates probabilistic and predictive models …

Performance analysis and time prediction in manufacturing systems

E Ruschel, EFR Loures, EAP Santos - Computers & Industrial Engineering, 2021 - Elsevier
Among the biggest challenges in manufacturing, we can mention the difficulty of locating
points that most impact performance; and predict the time required to perform certain tasks …

Challenges in predictive maintenance–A review

P Nunes, J Santos, E Rocha - CIRP Journal of Manufacturing Science and …, 2023 - Elsevier
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

An extended model for remaining time prediction in manufacturing systems using process mining

AC Choueiri, DMV Sato, EE Scalabrin… - Journal of Manufacturing …, 2020 - Elsevier
The ability to predict the remaining cycle-time in industrial environments is of major concern
among production managers. An accurate prediction would enable managers to handle …

Mining manufacturing databases to discover the effect of operation sequence on the product quality

L Rokach, R Romano, O Maimon - Journal of Intelligent manufacturing, 2008 - Springer
Data mining techniques can be used for discovering interesting patterns in complicated
manufacturing processes. These patterns are used to improve manufacturing quality …

Integrating predictive maintenance in adaptive process scheduling for a safe and efficient industrial process

OC Görür, X Yu, F Sivrikaya - Applied Sciences, 2021 - mdpi.com
Predictive maintenance (PM) algorithms are widely applied for detecting operational
anomalies on industrial processes to schedule for a maintenance intervention before a …

A predictive maintenance approach based on real-time internal parameter monitoring

C Park, D Moon, N Do, SM Bae - The International Journal of Advanced …, 2016 - Springer
Since continuous real-time components or equipment condition monitoring is not available
for injection molding machines, we propose a predictive maintenance approach that uses …

A holistic approach for quality oriented maintenance planning supported by data mining methods

R Glawar, Z Kemeny, T Nemeth, K Matyas, L Monostori… - Procedia cIRP, 2016 - Elsevier
Appropriate maintenance measures, which are carried out at the right time are a key factor to
secure plant availability, product quality and process efficiency in modern manufacturing …

Hidden Markov model-based process monitoring system

Y Xu, M Ge - Journal of Intelligent Manufacturing, 2004 - Springer
Sensor signals produced in industrial manufacturing processes contain valuable information
about the condition of operations. However, extracting the appropriate feature for effective …