Loading…

Heuristic Analysis of the Effective Range of a Track Tamping Machine

AbstractThis paper develops a methodology to define the optimum length of railway track that would undergo maintenance work by one tamping machine. The acquisition and logistic costs associated with the use of this type of machine are very relevant in the context of track maintenance. However, no sy...

Full description

Saved in:
Bibliographic Details
Published in:Journal of infrastructure systems 2012-12, Vol.18 (4), p.314-322
Main Authors: Santos, Rui, Teixeira, Paulo Fonseca
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:AbstractThis paper develops a methodology to define the optimum length of railway track that would undergo maintenance work by one tamping machine. The acquisition and logistic costs associated with the use of this type of machine are very relevant in the context of track maintenance. However, no systematic approach was found in the literature that could help managers recognize the machines’ real capacity, which seems to be more conditioned by the track’s availability for maintenance than by the machine’s performance. The methodology presented in this paper takes into account the execution capacity of the machine in a scenario in which the intervention schedule is optimized from a long-term perspective. It employs a metaheuristic process (simulated annealing) to deliver an optimized intervention schedule and the model is applied to several track length configurations. A trade-off approach is therefore adopted, confronting the minimum logistic costs with the fixed costs of the machine. The implementation of the algorithm showed significant cost reduction. However, the results of the model showed a deviation of the minimum cost solution from the quality standards. Further research could provide more insight into quality standards through its integration into a multiobjective analysis.
ISSN:1076-0342
1943-555X
DOI:10.1061/(ASCE)IS.1943-555X.0000081