[HTML][HTML] Maintenance optimization in industry 4.0

L Pinciroli, P Baraldi, E Zio - Reliability Engineering & System Safety, 2023 - Elsevier
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …

A review on maintenance optimization

B De Jonge, PA Scarf - European journal of operational research, 2020 - Elsevier
To this day, continuous developments of technical systems and increasing reliance on
equipment have resulted in a growing importance of effective maintenance activities. During …

Smart grid big data analytics: Survey of technologies, techniques, and applications

D Syed, A Zainab, A Ghrayeb, SS Refaat… - IEEE …, 2020 - ieeexplore.ieee.org
Smart grids have been gradually replacing the traditional power grids since the last decade.
Such transformation is linked to adding a large number of smart meters and other sources of …

A two-phase preventive maintenance policy considering imperfect repair and postponed replacement

L Yang, Z Ye, CG Lee, S Yang, R Peng - European Journal of Operational …, 2019 - Elsevier
This paper investigates a novel two-phase preventive maintenance policy for a single-
component system with an objective of maximizing the revenue generated by the …

Operations & maintenance optimization of wind turbines integrating wind and aging information

L Yang, G Li, Z Zhang, X Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Operations & maintenance (O&M) of wind turbines (both onshore and offshore) are heavily
affected by weather conditions, particularly wind conditions. Current O&M models focused …

Joint optimization of condition-based maintenance and inventory control for a k-out-of-n: F system of multi-state degrading components

J Wang, X Zhu - European Journal of Operational Research, 2021 - Elsevier
Maintaining a system of multiple degrading components requires having a supply of spare
components to replace deteriorated ones in a timely manner. Decisions on whether to …

A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based …

Y An, Z Zhao, K Gao, Y Dong, X Chen… - Swarm and Evolutionary …, 2024 - Elsevier
Production scheduling and maintenance planning are two interactive factors in modern
manufacturing system. However, at present, almost all studies ignore the impact of …

On sequence planning for selective maintenance of multi-state systems under stochastic maintenance durations

Y Liu, Y Chen, T Jiang - European Journal of Operational Research, 2018 - Elsevier
In many industrial and military environments, systems are required to execute a sequence of
missions with a finite break between two adjacent missions. Due to the limited maintenance …

Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks

N Zhang, W Si - Reliability Engineering & System Safety, 2020 - Elsevier
Abstract Condition-Based Maintenance (CBM) planning for multi-component systems has
been receiving increasing attention in recent years. Most existing research on CBM …

A state-age-dependent opportunistic intelligent maintenance framework for wind turbines under dynamic wind conditions

L Yang, Y Chen, X Ma - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Intelligent maintenance powered by advanced sensor technology is crucial to ensure the
safe and reliable operation of wind turbines. Most maintenance models are scheduled solely …