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Famurewa, S. M., Juntti, U., Nissen, A. & Kumar, U. (2016). Augmented utilisation of possession time: Analysis for track geometry maintenance. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 230(4), 1118-1130
Open this publication in new window or tab >>Augmented utilisation of possession time: Analysis for track geometry maintenance
2016 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 230, no 4, p. 1118-1130Article in journal (Refereed) Published
Abstract [en]

The demand for increased capacity on existing railway networks is a challenge for many Europe-based infrastructure managers; addressing this challenge requires augmented utilisation of track possession time. It is considered that large-scale maintenance tasks such as geometry maintenance can be improved; thus, reducing the on-track maintenance time and allowing more traffic. In this study, an analysis of track geometry maintenance was performed with the objective of reducing the required possession time. The procedure and models for planning and optimizing track geometry maintenance are presented. A statistical model that uses a simulation approach was used to determine the condition of the track geometry, and a schedule optimization problem was formulated to support intervention decisions and optimize the track possession time. The results of the case study show that optimizing the maintenance shift length and cycle length are opportunities to reduce the extent of track possession required for the maintenance of the track geometry. In addition, continuous improvement of the tamping process through lean analysis promises about a 45% reduction in the required possession time for a tamping cycle.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5931 (URN)10.1177/0954409715583890 (DOI)000375838500009 ()2-s2.0-84965168513 (Scopus ID)bcbb9fb3-926f-4a8c-bd80-582220037e54 (Local ID)bcbb9fb3-926f-4a8c-bd80-582220037e54 (Archive number)bcbb9fb3-926f-4a8c-bd80-582220037e54 (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2016; Nivå 2; 20150511 (andbra)

Available from: 2016-09-29 Created: 2023-03-02
Soleimanmeigouni, I., Ahmadi, A., Letot, C., Nissen, A. & Kumar, U. (2016). Cost-Based Optimization of Track Geometry Inspection. In: : . Paper presented at World Congress of Railway Research : 29/05/2016 - 02/06/2016.
Open this publication in new window or tab >>Cost-Based Optimization of Track Geometry Inspection
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2016 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Track geometry bear huge static and dynamic forces that accelerate degradation process. As a result, railway track should be inspected regularly to detect geometry faults and to plan maintenance actions in advanced. An inspection plan that minimizes track maintenance cost is highly desirable by infrastructure managers. This paper proposes constructing an integrated model to identify the optimum track geometry inspection interval. To this end, it develops a long term prediction model combining degradation, shock event, and tamping recovery models. It applies the Wiener process to model track geometry degradation, simulates shock event times using an exponential distribution, and uses a probabilistic model to model recovery after tamping. With the proposed integrated model and simulation, it is possible to identify the optimum track geometry inspection frequencies that minimize total track maintenance costs.

Series
Trafikverkets forskningsportföljer
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Vidmakthålla
Identifiers
urn:nbn:se:trafikverket:diva-6072 (URN)c55ed309-0501-42a8-805f-d86f7f125a90 (Local ID)c55ed309-0501-42a8-805f-d86f7f125a90 (Archive number)c55ed309-0501-42a8-805f-d86f7f125a90 (OAI)
Conference
World Congress of Railway Research : 29/05/2016 - 02/06/2016
Projects
Simulering av spårgeometri
Funder
Swedish Transport Administration, TRV 2017/123291
Note

Godkänd; 2016; 20160826 (solmei)

Available from: 2023-03-17 Created: 2023-03-17 Last updated: 2023-03-17Bibliographically approved
Arasteh khouy, I., Larsson-Kråik, P.-O., Nissen, A. & Kumar, U. (2016). Cost-effective track geometry maintenance limits. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 230(2), 611-622
Open this publication in new window or tab >>Cost-effective track geometry maintenance limits
2016 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 230, no 2, p. 611-622Article in journal (Refereed) Published
Abstract [en]

In the past, railway maintenance actions were usually planned based on the knowledge and experience of the infrastructure owner. The main goal was to provide a high level of safety, and there was little concern about economic and operational optimisation issues. Today, however, a deregulated competitive environment and budget limitations are forcing railway infrastructures to move from safety limits to cost-effective maintenance limits to optimise operation and maintenance procedures. By so doing, one widens the discussion to include both operational safety and cost-effectiveness for the whole railway transport system. In this study, a cost model is proposed to specify the cost-effective maintenance limits for track geometry maintenance. The proposed model considers the degradation rates of different track sections and takes into account the costs associated with inspection, tamping, delay time penalties, and risk of accidents due to poor track quality. It draws on track geometry data from the Iron Ore Line (Malmbanan) in northern Sweden, used by both passenger and freight trains, to estimate the geometrical degradation rate of each section. The methodology is based on reliability and cost analysis and facilitates the maintenance decision-making process to identify cost-effective maintenance thresholds.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5937 (URN)10.1177/0954409714542859 (DOI)000368600500021 ()2-s2.0-84954349492 (Scopus ID)c30499d7-d8e8-4d9d-97fc-97cf6ce6eccf (Local ID)c30499d7-d8e8-4d9d-97fc-97cf6ce6eccf (Archive number)c30499d7-d8e8-4d9d-97fc-97cf6ce6eccf (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2016; Nivå 2; 20140811 (andbra)

Available from: 2016-09-29 Created: 2023-03-02
Morant, A., Larsson-Kråik, P.-O. & Kumar, U. (2016). Data-driven model for maintenance decision support: A case study of railway signalling systems. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 230(1), 220-234
Open this publication in new window or tab >>Data-driven model for maintenance decision support: A case study of railway signalling systems
2016 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 230, no 1, p. 220-234Article in journal (Refereed) Published
Abstract [en]

Signalling systems ensure the safe operation of the railway network. Their reliability and maintainability directly affect the capacity and availability of the railway network, in terms of both infrastructure and trains, as a line cannot be fully operative until a failure has been repaired. The purpose of this paper is to propose a data-driven decision support model which integrates the various parameters of corrective maintenance data and to study maintenance performance by considering different RAMS parameters. This model is based on failure analysis of historical events in the form of corrective maintenance actions. It has been validated in a case study of railway signalling systems and the results are summarised. The model allows the creation of maintenance policies based on failure characteristics, as it integrates the information recorded in the various parameters of the corrective maintenance work orders. The model shows how the different failures affect the dependability of the system: the critical failures indicate the reliability of the system, the corrective actions give information about the maintainability of the components, and the relationship between the corrective maintenance times measures the efficiency of the corrective maintenance actions. All this information can be used to plan new strategies of preventive maintenance and failure diagnostics, reduce the corrective maintenance, and improve the maintenance performance.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5826 (URN)10.1177/0954409714533680 (DOI)000366928800019 ()2-s2.0-84951105830 (Scopus ID)8106e8fe-1312-4919-800f-329d08c6941b (Local ID)8106e8fe-1312-4919-800f-329d08c6941b (Archive number)8106e8fe-1312-4919-800f-329d08c6941b (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2016; Nivå 2; 20140422 (ampmor)

Available from: 2023-02-21 Created: 2023-02-21 Last updated: 2023-03-13Bibliographically approved
Stenström, C., Norrbin, P., Parida, A. & Kumar, U. (2016). Preventive and corrective maintenance: cost comparison and cost–benefit analysis. Structure and Infrastructure Engineering, 12(5), 603-617
Open this publication in new window or tab >>Preventive and corrective maintenance: cost comparison and cost–benefit analysis
2016 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 12, no 5, p. 603-617Article in journal (Refereed) Published
Abstract [en]

Maintenance can represent a significant portion of the cost in asset intensive organisations, as breakdowns have an impact on the capacity, quality and cost of operation. However, the formulation of a maintenance strategy depends on a number of factors, including the cost of down time, reliability characteristics and redundancy of assets. Consequently, the balance between preventive maintenance (PM) and corrective maintenance (CM) for minimising costs varies between organisations and assets. Nevertheless, there are some rules of thumb on the balance between PM and CM, such as the 80/20 rule. Studies on the relationship between PM and CM in practice are rare. Therefore, PM and CM costs are studied in this article by analysing historical maintenance data. A case study of rail infrastructure historical data is carried out to determine the shares of PM and CM, together with a cost–benefit analysis (CBA) to assess the value of PM. The results show that the PM represents 10% to 30% of the total maintenance cost when user costs, i.e. train delays, are included as a CM cost. The CBA shows the benefit of PM is positive with a benefit–cost ratio at 3.3. However, the results depend on the inclusion/exclusion of user costs, besides individual organisational parameters.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5951 (URN)10.1080/15732479.2015.1032983 (DOI)000370971500006 ()2-s2.0-84957845906 (Scopus ID)85284003-2fa1-4ed4-850b-28d9d9aff6aa (Local ID)85284003-2fa1-4ed4-850b-28d9d9aff6aa (Archive number)85284003-2fa1-4ed4-850b-28d9d9aff6aa (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2016; Nivå 2; 20150519 (andbra)

Available from: 2016-09-29 Created: 2023-03-02
Famurewa, S. M., Parida, A. & Kumar, U. (2015). Application of Maintenance Performance Measurement for Continuous Improvement in Railway Infrastructure Management. International Journal of COMADEM, 18(1), 49-58
Open this publication in new window or tab >>Application of Maintenance Performance Measurement for Continuous Improvement in Railway Infrastructure Management
2015 (English)In: International Journal of COMADEM, ISSN 1363-7681, Vol. 18, no 1, p. 49-58Article in journal (Refereed) Published
Abstract [en]

Railway transport infrastructure is a linearly distributed asset that requires an effective performance management system to meet sectional and overall business objectives. In particular, an effective performance measurement system with relevant analysis technique in an ongoing manner is necessary to facilitate continuous improvement. Maintenance performance measurement (MPM) is essential to quantify the impact of past maintenance decisions and actions and also to support new decisions. This article presents the challenges of implementing and using MPM systems for maintenance decisions in the railway industry. Thereafter, a risk matrix with maintenance performance indicators is introduced as a complementary analysis tool to identify weak links on a railway line. A case study of a section on the heavy haul line of the Swedish Transport Administration railway network is presented to demonstrate the application of the risk matrix tool for continuous improvement. The results identified the bottlenecks on the line section, which are improvement opportunities for maintenance performance in terms of service quality and capacity target of the infrastructure manager

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5928 (URN)25d20014-a509-4eba-b749-65134d2158ed (Local ID)25d20014-a509-4eba-b749-65134d2158ed (Archive number)25d20014-a509-4eba-b749-65134d2158ed (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 1; 20150105 (stefam)

Available from: 2016-09-29 Created: 2023-03-02
Singh, S., Kumar, R. & Kumar, U. (2015). Applying human factor analysis tools to a railway brake and wheel maintenance facility. Journal of Quality in Maintenance Engineering, 21(1), 89-99
Open this publication in new window or tab >>Applying human factor analysis tools to a railway brake and wheel maintenance facility
2015 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 21, no 1, p. 89-99Article in journal (Refereed) Published
Abstract [en]

PurposeThis paper demonstrates three techniques to extract human factor information from specific railway maintenance tasks. It describes the techniques and shows how these tools can be applied to identify improvements in maintenance practices and workflow. Design/methodology/approachThree case studies were conducted on single group of technicians (N=19) at a railway maintenance workshop in Luleå, Sweden. Case study I examined the posture of the technicians while they were changing the brake shoes of freight wagons; the study employed the Standard Nordic Questionnaire and a videotape using the Ovako Working Posture Analysis System (OWAS). Case study II looked at maintenance repair times required to change the wheel axle on freight wagons at the workshop. A video filming method suggested by the European Agency for Safety and Health at Work was used to measure actual maintenance time. Finally, case study III considered the technicians’ (N=19) perception of work demands, their control over the work and their social support while performing maintenance tasks (brake shoe and wheel axle maintenance); to this end, the case study used a demand control support questionnaire. FindingsIn the first case study, the Standard Nordic Questionnaire confirmed that technicians at this particular railway vehicle maintenance workshop suffer from back and shoulder pain. The Ovako Working Posture Analysis showed that 21% of the working time required to fit the brake wedge and cotter pin fits into two OWAS categories: category 3, where “change is required as soon as possible,” and category 4, where “change is required immediately”. Problems stem from poor workplace layout, incorrect posture and inaccessibility of tools and components. In the second study, the video analysis indicated that the working time to change the wheel axle of a freight wagon is greatly affected by poor workplace layout. The third case study showed that the technicians have lower “psychological demands” (mean=13), “higher control over work” (mean= 16) and “high social support” (mean= 22).Practical implicationsThe objective of this study was to apply knowledge about human factors to the functional relationships between maintenance personnel, tasks and the working environment to improve safety. If the workplace layout, working posture, maintenance manuals and accessibility of tools are poorly planned, maintenance performance can be adversely affected. The results of this study should assist maintenance management to design new policies and guidelines for improving the work environment.Originality/valueThree case studies were conducted at a railway maintenance workshop in Luleå, Sweden, to collect data on how human factors affect various railway maintenance tasks.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5929 (URN)10.1108/JQME-03-2013-0009 (DOI)000211515200005 ()2-s2.0-84923923122 (Scopus ID)df3ca99a-0168-473f-a246-42f1b0d2031f (Local ID)df3ca99a-0168-473f-a246-42f1b0d2031f (Archive number)df3ca99a-0168-473f-a246-42f1b0d2031f (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 1; 20150209 (andbra)

Available from: 2016-09-29 Created: 2023-03-02
Thaduri, A., Kumar, U. & Verma, A. K. (2015). Comparison of failure characteristics of different electronic technologies by using modified physics-of-failure approach. International Journal of Systems Assurance Engineering and Management, 6(2), 198-205
Open this publication in new window or tab >>Comparison of failure characteristics of different electronic technologies by using modified physics-of-failure approach
2015 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 6, no 2, p. 198-205Article in journal (Refereed) Published
Abstract [en]

The electronic components are used in several safety and maintenance systems that require accurate reliability prediction for higher availability. The traditional reliability prediction methods that draw on standard handbooks such as MIL-HDBK 217F, Telcordia, CNET etc., are inappropriate to determine the reliability indices of these components due to empirical methods does not comply with operating life cycle and technology advancements. The progressive reliability prediction methodology, the physics-of-failure (PoF), emphasizes the root cause of failure, failure analysis, and failure mechanisms based on the analysis of parameter characteristics. However, there is a limitation: it is sometimes difficult to obtain manufacturer’s details for failure analysis and quality information. Several statistical and probability modeling methods can be performed on the experimental data of these components to measure the time to failure. These experiments can be conducted using the accelerated-testing of dominant stress parameters such as voltage, current, temperature, radiation etc. In this paper, the combination of qualitative data from PoF approach and quantitative data from the statistical analysis is used to create a modified physics-of-failure approach. The critical electronic components used in certain safety systems from different technologies are chosen for reliability prediction: optocoupler, constant fraction discriminator, BJT transistor, voltage comparator, voltage follower and instrumentation amplifier is studied. The failure characteristics of each of the technologies are studied and compared according to operating conditions

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5933 (URN)10.1007/s13198-014-0301-y (DOI)000219278400013 ()2-s2.0-84929412741 (Scopus ID)51512880-89c9-40bb-b04d-63638cd14bf2 (Local ID)51512880-89c9-40bb-b04d-63638cd14bf2 (Archive number)51512880-89c9-40bb-b04d-63638cd14bf2 (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 1; 20141119 (aditha)

Available from: 2016-09-29 Created: 2023-03-02
Stenström, C., Parida, A., Lundberg, J. & Kumar, U. (2015). Development of an integrity index for benchmarking and monitoring rail infrastructure: application of composite indicators. International Journal of Rail transportation, 3(2), 61-80
Open this publication in new window or tab >>Development of an integrity index for benchmarking and monitoring rail infrastructure: application of composite indicators
2015 (English)In: International Journal of Rail transportation, ISSN 2324-8378, E-ISSN 2324-8386, Vol. 3, no 2, p. 61-80Article in journal (Refereed) Published
Abstract [en]

Railways are large, geographically dispersed assets, consisting of numerous systems, subsystems and components, for which considerable amounts of data and numerous indicators are generated for monitoring their operation and maintenance. Proper assessment of operation and maintenance performance is essential for sustainable and competitive rail transportation. Composite indicators (CIs), or indices, can simplify the performance measurement by summarising the overall performance of a complex asset into a single figure, making it easier to interpret than multiple indicators and plots. In this article, a CI termed ‘rail infrastructure integrity index’ is developed and verified in a case study. The results show that CIs can be used for benchmarking and assessing the overall performance of railway sections in a single figure, indicating which sections need further study. Their implementation should allow data users to do sensitivity analysis and decomposition for traceability.Keywords: rail infrastructure; composite indicator; integrity index; dependability; RAMS; benchmarking

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5940 (URN)10.1080/23248378.2015.1015220 (DOI)000218613300001 ()2-s2.0-84973441915 (Scopus ID)ce222ccb-73f5-42e0-b059-a7eb15b6aaba (Local ID)ce222ccb-73f5-42e0-b059-a7eb15b6aaba (Archive number)ce222ccb-73f5-42e0-b059-a7eb15b6aaba (OAI)
Projects
Link and effect model application through life cycle cost and return of investment analysisJVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 1; 20150402 (chrste)

Available from: 2016-09-29 Created: 2023-03-02
Famurewa, S. M., Asplund, M., Rantatalo, M., Parida, A. & Kumar, U. (2015). Maintenance analysis for continuous improvement of railway infrastructure performance. Structure and Infrastructure Engineering, 11(7), 957-969
Open this publication in new window or tab >>Maintenance analysis for continuous improvement of railway infrastructure performance
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2015 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 11, no 7, p. 957-969Article in journal (Refereed) Published
Abstract [en]

Railway transport system is massive and complex, and as such it requires effective maintenance to achieve the business goal of safe, economic and sustainable transportation of passengers and goods. The growing demand for improved service quality and capacity target by railway infrastructure managers requires appropriate maintenance analysis to facilitate continuous improvement of infrastructure performance. This paper presents the application of risk matrix as a maintenance analysis method for the identification of track zones that are bottlenecks that limit operational capacity and quality. Furthermore, an adapted analysis method is proposed to create a hierarchical improvement list for addressing the problem of train mission interruption and reduced operational capacity. A case study of a line section of the Swedish network is presented. The result classifies the zones on the line section into different risk categories based on their contribution to loss of capacity and punctuality. In addition, an improvement list for the lower-level system is presented to facilitate maintenance decisions and continuous improvement at both operational and strategic levels.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5849 (URN)10.1080/15732479.2014.921929 (DOI)000352323800001 ()2-s2.0-84926406616 (Scopus ID)8704bbed-4a80-4f9c-9002-6224d5059ee5 (Local ID)8704bbed-4a80-4f9c-9002-6224d5059ee5 (Archive number)8704bbed-4a80-4f9c-9002-6224d5059ee5 (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Available from: 2023-02-13 Created: 2023-02-13 Last updated: 2023-02-14Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8111-6918

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