[HTML][HTML] A taxonomy of railway track maintenance planning and scheduling: A review and research trends

M Sedghi, O Kauppila, B Bergquist, E Vanhatalo… - Reliability Engineering & …, 2021 - Elsevier
Railway track maintenance and renewal are vital for railway safety, train punctuality, and
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …

Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering

J Xie, J Huang, C Zeng, SH Jiang, N Podlich - Geosciences, 2020 - mdpi.com
Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …

Machine learning-based technique for predicting vendor incoterm (contract) in global omnichannel pharmaceutical supply chain

PK Detwal, G Soni, SK Jakhar, DK Srivastava… - Journal of Business …, 2023 - Elsevier
The importance of supply chain management to business operations and social growth
cannot be overstated. Modern supply chains are considerably dissimilar from those of only a …

A data-driven methodology with a nonparametric reliability method for optimal condition-based maintenance strategies

M Mikhail, MS Ouali, S Yacout - Reliability Engineering & System Safety, 2024 - Elsevier
Optimizing condition-based maintenance (CBM) strategies based on machine learning (ML)
methods as reinforcement learning (RL) have been receiving increasing attention due to …

Intelligent and adaptive asset management model for railway sections using the iPN method

A Saleh, R Remenyte-Prescott, D Prescott… - Reliability Engineering & …, 2024 - Elsevier
The maintenance strategy in railway transportation is crucial in ensuring safety, availability,
and reducing operating costs. However, finding the optimal maintenance plan that takes into …

Dynamic Sustainable Processes Simulation to Study Transport Object Efficiency

I Bondarenko, A Severino, IO Olayode, T Campisi… - Infrastructures, 2022 - mdpi.com
The development of reliability theory has led to the setting of tasks requiring consideration of
the efficiency and functional safety of technical objects of transport over the life cycle. The …

Degradation Models and Maintenance Strategies for Reinforced Concrete Structures in Coastal Environments under Climate Change: A Review

LF Rincon, YM Moscoso, AEA Hamami, JC Matos… - Buildings, 2024 - mdpi.com
Modern engineering faces challenges in ensuring technical standards for service, durability,
and sustainability. Political, administrative, and budgetary factors, coupled with climate …

Review of data analytics for condition monitoring of railway track geometry

AP Gonzalo, R Horridge, H Steele… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Railway track geometry varies along routes depending on topographical, operational and
safety constraints. Tracks are prone to degrade over time due to various factors, with …

Data-driven methods to predict track degradation: A case study

S Goodarzi, HF Kashani, J Oke, CL Ho - Construction and Building …, 2022 - Elsevier
Predicting track degradation is extremely important due to its beneficial effects on increasing
track safety and scheduling preventive maintenance. Logistic regression and Gradient …

Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks

K Popov, R De Bold, HK Chai, MC Forde, CL Ho… - … and Building Materials, 2022 - Elsevier
This study will address the opportunity of using a big data driven approach to providing a
more specific description of track quality, mainly selecting segments of the track exhibiting …