Stability assessment of railway trackwork scheduling in Sweden DOI Creative Commons
Daria Ivina, Zhenliang Ma

European Transport Research Review, Journal Year: 2024, Volume and Issue: 16(1)

Published: May 20, 2024

Abstract Ensuring the reliability of railway transportation is heavily dependent on quality its infrastructure. In this regard, renewal and maintenance track infrastructure, referred to as trackwork, play a vital role. However, trackwork execution requires temporary capacity restrictions for train traffic. Therefore, harmonising schedules critical but challenging accomplish when one frequently changing. This paper explores models nature schedule instability at tactical level scheduling process. We analyse data from year rolling horizon plans, focusing weekly changes eight key locations across Sweden’s network. Our study considers various factors that may affect stability, such type, location, time day, traffic intensity, type prevailing find increases plan approaches end. The regression analysis reveals most significant predictors in include previous changes, (single vs. double), work location (at station between stations), timing (daytime nighttime month). These provide insights planners making informed proactive decisions about timeslot allocation.

Language: Английский

Distributed maintenance task scheduling for multiple technician teams considering uncertain durations and deterioration effects towards Industry 5.0 DOI
Shaojun Lu,

Yulu Chen,

Rui Zheng

et al.

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25

Published: Feb. 10, 2025

Language: Английский

Citations

1

Multi-objective maintenance strategy for complex systems considering the maintenance uncertain impact by adaptive multi-strategy particle swarm optimization DOI
Yadong Zhang, Shaoping Wang, Enrico Zio

et al.

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: unknown, P. 110671 - 110671

Published: Nov. 1, 2024

Language: Английский

Citations

6

An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming DOI

Yarong Chen,

Jia Yan Du, Jabir Mumtaz

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 262, P. 125616 - 125616

Published: Oct. 30, 2024

Language: Английский

Citations

4

Functional resonance analysis via a genetic algorithm to ensure cost-effective maintenance planning DOI Creative Commons
Riccardo Patriarca, Lorenzo Lovaglio, Francesco Simone

et al.

International Journal of Production Economics, Journal Year: 2025, Volume and Issue: unknown, P. 109516 - 109516

Published: Jan. 1, 2025

Language: Английский

Citations

0

Reinforcement learning based maintenance scheduling of flexible multi-machine manufacturing systems with varying interactive degradation DOI
Jiangxi Chen, Xiaojun Zhou

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 111018 - 111018

Published: March 1, 2025

Language: Английский

Citations

0

Capacity assessment for single batch machine production with interval grey processing time DOI

Yihang Qin,

Naiming Xie, Yuquan Wang

et al.

Grey Systems Theory and Application, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Purpose This paper aims to propose a capacity assessment approach for production with uncertainty, focusing on single batch machine interval grey processing time. Design/methodology/approach Based the number and its mathematical operations, uncertain time is defined as research object. The times generation methods are then developed, which rely specific definitions historical data. A tailored this mode subsequently proposed, validity demonstrated through multiple real-world cases from one aerospace composite material manufacturer. Findings proposed provides reliable results various types of tasks. For tasks small jobs or significant variations in job sizes, can be obtained first stage, known model assessment. remaining tasks, achieved second heuristic Research limitations/implications In paper, validated based production. To enhance applicability more actual scenarios, needs extend modes. algorithm have certain limitations need further designed suit other Originality/value novel And it helps promote application system theory management.

Language: Английский

Citations

0

Model-driven deep learning for joint control and decision-making in failure-prone circular multistage manufacturing systems DOI
Panagiotis D. Paraschos, Georgios K. Koulinas, Dimitrios E. Koulouriotis

et al.

International Journal of Computer Integrated Manufacturing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: April 23, 2025

Language: Английский

Citations

0

Simheuristics DOI
Ángel A. Juan, Majsa Ammouriova, Javier Faulín

et al.

Published: Jan. 1, 2025

Citations

0

Deep learning model for optimizing control and planning in stochastic manufacturing environments DOI
Panagiotis D. Paraschos, Αντώνιος Γαστεράτος, Dimitrios E. Koulouriotis

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 257, P. 125075 - 125075

Published: Aug. 12, 2024

Language: Английский

Citations

3

A simheuristic‐based algorithm for the stochastic long‐term maintenance scheduling problem DOI Creative Commons
Diego Gomes Coelho, Marcone Jamilson Freitas Souza, Luciano Perdig�ão Cota

et al.

International Transactions in Operational Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Abstract This work addresses the problem of assigning preventive maintenance jobs in a 52‐week planning horizon. Given set machines that need maintenance, these machines, teams, and horizon, consists each job to team given instant aiming minimize cost with teams performing unscheduled using outsourced teams. We propose an iterated local search (ILS)‐based algorithm specialized for this problem. Using real instances, ILS achieved best results 81% outperforming literature algorithms. However, algorithms only treat deterministic version do not consider uncertainty duration may occur industry environment. Not considering aspect can produce inefficient schedule many jobs. So, also proposes simheuristic‐based (SIM‐ILS) capable capturing issue. tested it three scenarios, which differ level regarding duration, compared their those provided by stochastically evaluated solutions. SIM‐ILS found solution 61% tests. Therefore, be used support decision‐making different industrial environments, from environments low variability high variability.

Language: Английский

Citations

0