scholarly journals Advancing Railway Asset Management Using Track Geometry Deterioration Modeling Visualization

2022 ◽  
Vol 148 (2) ◽  
Author(s):  
Mikko Sauni ◽  
Heikki Luomala ◽  
Pauli Kolisoja ◽  
Tapio Nummi
Keyword(s):  
Asset Management ◽  
Track Geometry

Application of Artificial Neural Networks in Predicting the Degradation of Tram Tracks Using Maintenance Data

2020 ◽  
pp. 845-864
Author(s):  
Sara Moridpour ◽  
Ehsan Mazloumi ◽  
Reyhaneh Hesami
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Asset Management ◽  
Management Strategies ◽  
Operating Cost ◽  
Light Rail ◽  
Ann Model ◽  
Track Geometry ◽  
Artificial Neural ◽  
And Performance

The increase in number of passengers and tramcars will wear down existing rail structures faster. This is forcing the rail infrastructure asset owners to incorporate asset management strategies to reduce total operating cost of maintenance whilst improving safety and performance. Analysing track geometry defects is critical to plan a proactive maintenance strategy in short and long term. Repairing and maintaining the correctly selected tram tracks can effectively reduce the cost of maintenance operations. The main contribution of this chapter is to explore the factors influencing the degradation of tram tracks (light rail tracks) using existing geometric data, inspection data, load data and repair data. This chapter also presents an Artificial Neural Networks (ANN) model to predict the degradation of tram tracks. Predicting the degradation of tram tracks will assist in understanding the maintenance needs of tram system and reduce the operating costs of the system.

scholarly journals Preliminary study of shaping the railway track geometry in terms of their maintenance costs and capacity

2020 ◽  
Vol 53 (1) ◽  
pp. 115-128 ◽  
Author(s):  
Piotr Gołębiowski ◽  
Jacek Kukulski
Keyword(s):  
Asset Management ◽  
Transport Infrastructure ◽  
Railway Track ◽  
Risk Level ◽  
Maintenance Costs ◽  
Track Geometry ◽  
Track System ◽  
System Solution ◽  
New Construction ◽  
Infrastructure Maintenance

In Poland, due to the increase in investments made by railways in recent years, and thus the increase in the replacement value of transport infrastructure, the need for expenditure on infrastructure maintenance will increase in the next 30 years, or the development of the developed transport network will degrade. As part of the overall discipline of resource management, subdiscipline has emerged - infrastructure asset management. As part of the management of railway transport infrastructure, the demand for cheaper maintenance costs will grow. The cost reduction of infrastructure maintenance is possible through meticulous assessment of its condition, rational selection of locations and scope of repairs at the assumed risk level, as well as at the stage of preparation of new construction or modernization projects taking into account aspects of later maintenance. For some time, we have been observing the accumulation of knowledge (methods, programs, procedures) in the country and abroad enabling optimization of infrastructure condition assessment and programming of its maintenance. The implementation of these solutions may result in a more rational use of funds for infrastructure maintenance and not disturb its smooth functioning in operation. The article discusses aspects that should be considered in the design process of railway infrastructure. Particular attention was paid to the durability of steel components of the railway superstructure, maintenance costs as well as aspects related to the capacity of the track node. An example of dependence of selected values of radial arcs depending on their durability and maintenance costs was presented. It was proposed to change the track layout at the Warszawa Srodmiescie passenger stop planned for reconstruction. Calculations of kinematic parameters for various configurations of railway turnouts were performed. Also, calculations of the capacity for the existing track system solution as well as the proposed track system after reconstruction of the analysed Warszawa Srodmiescie railway station were also carried out.

scholarly journals The impact of summer heatwaves on railway track geometry maintenance

2021 ◽  
pp. 095440972098429
Author(s):  
Ben Davies ◽  
John Andrews
Keyword(s):  
Asset Management ◽  
Response Times ◽  
Railway Track ◽  
Management Support ◽  
Maintenance Policy ◽  
Management Tools ◽  
Support Tool ◽  
Track Geometry ◽  
Maintenance Activities ◽  
The Impact

Elevated summer temperatures are a disrupting factor on the rail network. Due to the risk of a track buckling under thermal expansion forces, geometry maintenance must be delayed during heatwaves, leading to an overall decreased network availability and reliability. Track asset management support tools are used to plan and schedule a variety of maintenance activities, with tamping and stoneblowing being the primary activities for geometry maintenance. No management tools seen in the literature consider the influences of weather on the scheduling and delivery of maintenance. This paper describes a Petri net modelling approach to railway track asset management. This is demonstrated to be a highly flexible method able to capture the complexities of degradation, inspection, and maintenance, and predict the evolution of track geometry quality over time. Different maintenance strategies are tested, varying the degradation thresholds, inspection intervals, policy decisions, and maintenance response times. Excessively hot weather is introduced as an inhibiting factor for all maintenance activities, resulting in extended periods where interventions are delayed. Simulation results show that frequent inspection and timely maintenance scheduling strategies could be followed to attain a highly performing and resilient track system. This asset management support tool could be added to the suite used by the rail industry, providing guidance on maintenance policy through a summer season where heatwave disruptions are expected.

scholarly journals Railway track availability modelling with opportunistic maintenance practice

2021 ◽  
pp. 095440972110476
Author(s):  
Ben Davies ◽  
John Andrews
Keyword(s):  
Asset Management ◽  
Ride Comfort ◽  
Management Strategies ◽  
Railway Track ◽  
Management Tool ◽  
Maintenance Strategy ◽  
Combined System ◽  
Opportunistic Maintenance ◽  
Track Geometry ◽  
Maintenance Practice

The geometry of railway track must be maintained within certain standards in order to provide a highly available network, as well as good ride comfort and safety for all rail users. Modelling is well utilised as part of asset management tools in exploring the effectiveness of different rail geometry maintenance strategies. By considering the rail route as an entire system – in contrast to a track section in isolation – a more effective maintenance strategy can be developed, including the deployment of opportunistic maintenance practice. This study presents a Coloured Petri Net model of railway track degradation, inspection, and maintenance planning and delivery, for an entire route of track sections. Opportunistic maintenance is introduced through a novel search transition function, which groups interventions based on local adjacency. Testing explores the availability and maintenance demands expected when following a series of different management strategies. This is extended to testing under heatwave conditions, a known disrupter to track geometry maintenance delivery. Simulation results show that in following an opportunistic strategy, greater availability can be achieved on the modelled rail line. Further, resilience to the heatwave disruptions can be achieved by selecting the correct maintenance strategy parameters. This asset management tool can provide guidance on management strategies for a full route of track sections as a combined system.

Application of Artificial Neural Networks in Predicting the Degradation of Tram Tracks Using Maintenance Data

2016 ◽  
pp. 30-54 ◽  
Author(s):  
Sara Moridpour ◽  
Ehsan Mazloumi ◽  
Reyhaneh Hesami
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Asset Management ◽  
Management Strategies ◽  
Operating Cost ◽  
Light Rail ◽  
Ann Model ◽  
Track Geometry ◽  
Artificial Neural ◽  
And Performance

The increase in number of passengers and tramcars will wear down existing rail structures faster. This is forcing the rail infrastructure asset owners to incorporate asset management strategies to reduce total operating cost of maintenance whilst improving safety and performance. Analysing track geometry defects is critical to plan a proactive maintenance strategy in short and long term. Repairing and maintaining the correctly selected tram tracks can effectively reduce the cost of maintenance operations. The main contribution of this chapter is to explore the factors influencing the degradation of tram tracks (light rail tracks) using existing geometric data, inspection data, load data and repair data. This chapter also presents an Artificial Neural Networks (ANN) model to predict the degradation of tram tracks. Predicting the degradation of tram tracks will assist in understanding the maintenance needs of tram system and reduce the operating costs of the system.

scholarly journals Detecting Embankment Instability Using Measurable Track Geometry Data

2020 ◽  
Vol 5 (3) ◽  
pp. 29
Author(s):  
David Kite ◽  
Giulia Siino ◽  
Matthew Audley
Keyword(s):  
Asset Management ◽  
System Performance ◽  
Data Driven ◽  
Track Geometry ◽  
Track Maintenance ◽  
Management Scenario ◽  
Railway Infrastructure ◽  
The World ◽  
Railway System ◽  
Data Driven Decisions

The British railway system is the oldest in the world. Most railway embankments are aged around 150 years old and the percentage of disruption reports that feature them is frequently higher than other types of railway infrastructure. Remarkable works have been done to understand embankment deterioration and develop asset modelling. Nevertheless, they do not represent a sufficient way of managing assets in detail. As a result, reactive approaches combined with proactive ones would improve the whole asset management scenario. To guarantee good system performance, geotechnical asset management (GAM) aims to reduce uncertainty through informed, data driven decisions and optimisation of resources. GAM approaches are cost sensitive. Thus, data driven approaches that utilize existing resources are highly prized. Track geometry data has been routinely collected by Network Rail, over many years, to identify track defects and subsequently plan track maintenance interventions. Additionally, in 2018 Network Rail commissioned AECOM to undertake a study, described in this paper, to investigate the use of track geometry data in the detection of embankment instabilities. In this study, track geometry data for over 1800 embankments were processed and parameters offering the best correlation with embankment movements were identified and used by an algorithm to generate an embankment instability metric. The study successfully demonstrated that the instability of railway embankments is clearly visible in track geometry data and the metric gives an indication of the worsening of track geometry, that is likely due to embankment instability.

Asset Inspection Management System as a Reliable Inspection/ Monitoring Tool

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A
Keyword(s):  
Asset Management ◽  
Management System ◽  
Balance Sheet ◽  
Integrity Assessment ◽  
Material Evaluation ◽  
The People ◽  
Physical Assets ◽  
Asset Management System ◽  
On Time Delivery ◽  
Capital Intensive

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).

PENGARUH MANAJEMEN ASET DAN PERTUMBUHAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN (Studi Kasus pada PT. Tambang Batubara Bukit Asam Tbk. dan PT. United Tractors Tbk.)

2019 ◽  
Vol 7 (02) ◽  
pp. 79
Author(s):  
Syarief Gerald Prasetya
Keyword(s):  
Asset Management ◽  
Research Process ◽  
Positive Development ◽  
Company Value ◽  
A Company ◽  
Assets Management

 Company's goal is to maximize the value of the company. Value of the company is very important for the company because the company maximize the value it will maximize the welfare of shareholders. Efforts that can be done to maximize the value of the company in one of the company through asset management. Asset management companies is an activity which is very important because the management is based on the size of the success of the company during a certain period can be known. Asset management is a potential that is owned by organizations or individuals to achieve the vision, mission and goals, or particular. However, in maximizing the value of a company diisyaratkan a growth company that is a positive development of the company that occurred in a period of timeThe aim of this research is to analyse relevantly of assets management and growth of company, is have influence and relation, or not with value of company. If in research process found by inexistence of relation and influence from assets management and growth of company, so will searching that problem and searching the othe factors perhaps existence relation and influence to value of companiesThe research shows that in PT. Tambang Batubara Bukit Asam Tbk, influential assets management according to significant towards value of companies, that is with level significant as big as 0,012. While in PT. United Tractors Tbk, assets management not influential according to significant towards value of companies, that is with level significant as big as 0,576. In PT. Tambang Batubara Bukit Asam Tbk, influential growth of company according to significant towards value of companies, that is with level significant as big as 0,015. While in PT. United Tractors Tbk, growt of company not influential according to significant towards value of companies, that is with level significant as big as 0,870Result of evaluation in this research is that value of companies do not only be influenced by factor of assets management and growth of company, but there is other factor which can influence such as profitability factor and and efficiency costKey word: management assets, growth of company, value of company

KAJIAN KESEHATAN BANK YUDHA BHAKTI SEBAGAI KELAYAKAN BANK PENEMPATAN DEPOSITO REKSA DANA PASAR UANG SYAILENDRA DANA KAS PT. SYAILENDRA CAPITAL

2018 ◽  
Vol 15 (1) ◽  
pp. 01
Author(s):  
Yoyo Indah Gunawan ◽  
Lerry Big Senjaya
Keyword(s):  
Asset Management ◽  
Capital Asset

Tujuan dari penelitian ini adalah untuk mengetahui kesehatan Bank Yudha Bhakti sebagai kelayakan  bank penempatan dana deposito Reksa Dana Pasar Uang Syailendra Dana Kas PT. Syailendra Capital.Sesuai dengan Peraturan Bank Indonesia Nomor 6/10/PBI/2004 tanggal 12 April 2004 tentang Sistem Penilaian Tingkat Kesehatan Bank Umum (Lembaran Negara Republik Indonesia Tahun 2004 Nomor 38, Tambahan Lembaran Negara Nomor 4382), maka metode yang di gunakan oleh PT. Syailendra Capital  kesehatan sebuah bank untuk menilai kelayaknya adalah menggunakan metode CAMEL (Capital, Asset, Management, Earning, Liquidity).Hasil penelitian menunjukkan bahwa rasio CAR = 18,18% (nilai poin = 5), rasio EAQ = 97,82% (nilai poin =5), rasio LDR = 94,57% (nilai poin = 5), rasio NPL = 2,07% (nilai poin = 5), rasio NIM = 8,31% (nilai poin = 4), rasio ROA = 0,40% (nilai poin= 1), dan rasio STM = 91,05% (nilai poin = 3). Sedangkan nilai total score CAMEL sebesar 84, artinya bahwa status kesehatan PT. Bank Yudha Bhakti .Tbk katagorinya sehat sehingga layak dijadikan bank penempatan dana deposito Reksa Dana Pasar Uang Syailendra Dana Kas  PT. Syailendra Capital.Hasil perhitungan masing-masing komponen rasio CAMEL diperoleh total hasil sebesar 84 Poin, ini berarti PT. Bank Yudha Bhakti .Tbk merupakan bank yang masuk kategori Sehat menurut rasio CAMEL yang sudah dihitung, maka dari itu reksa dana pasar uang Syailenda Dana Kas PT. Syailendra Capital dapat melakukan penempatan dana deposito pada bank tersebutBerdasarkan hasil penelitian tersebut maka disarankan : (1). Sebaiknya Syailendra Dana Kas PT. Syailendra Capital melakukan penempatan dana deposito pada  PT. Bank Yudha Bhakti Tbk yang katagorinya sehat sehingga akan memberikan keuntungan profit, (2) Perhitungan rasio CAMEL agar dapat menggunakan data laporan keuangan minimal selama 3 tahun, sehingga dapat juga dilihat perkembangan rasio CAMEL dari tahun ke tahun, (3). agar dalam proses pemilihan bank juga dapat mempertimbangkan berita-berita terkini dari industri perbankan mengenai bank yang akan dilihat rasio CAMEL-nya Kata Kunci : Kesehatan Bank

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