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  • 1.
    Al-Jumaili, Mustafa
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Rauhala, Ville
    Kemi-Tornio University of Applied Science.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Jonsson, Katrin
    Department of Informatics, Umeå University.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Aspects of data quality in eMaintenance: a case study of process industry in northern Europe2014In: Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management / [ed] Jay Lee; Jun Ni; Jagnathan Sarangapani; Joseph Mathew, London: Encyclopedia of Global Archaeology/Springer Verlag , 2014, p. 41-51Conference paper (Refereed)
    Abstract [en]

    Increased environmental awareness in the industry combined with the globalized market economy makes increasing demands for sustainable and efficient resource utilization. In this context, maintenance plays a critical role by linking business objectives to the strategic and operational activities aimed at retaining the system’s availability performance, cost-efficiency and sustainability. Performing maintenance effectively and efficiently requires corresponding infrastructure for decision-support provided through eMaintenance solutions. A proper eMaintenance solution needs to provide services for data acquisition, data processing, data aggregation, data analysis, data visualization, context-sensing etc. To en Quality of Service (QoS) in eMaintenance solutions, the performance of both system-of-interest, enabling systems and related processes have to be measured and managed. However, the QoS has to be considered on all aggregation levels and encompass the aspects of Content Quality (CQ), Data Quality (DQ) and Information Quality (IQ). Hence, the purpose of this paper is to study and describe some aspects of DQ in eMaintenance related to process industry in northern Europe

  • 2. Biswal, Munro
    et al.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    An integrated approach for open e-Maintenance2010In: Proceedings of the 1st international workshop and congress on eMaintenance, Luleå tekniska universitet , 2010, p. 107-114Conference paper (Refereed)
    Abstract [en]

    The present day e-maintenance space is evolving with isolated legacy sub-systems or packages that span heterogeneous and domain specific industry verticals. Developing a unified platform for e-maintenance catering to the varied domains shall hence pose a major challenge.

    An open systems based platform for emaintenance can overcome some of these hurdles by defining the otherwise disparate systems as abstract entities with well defined public interfaces. The interfaces can be broadly classified based on the technology types, thus allowing individual vertical emaintenance applications to align with their respective business interests. In all, this shall greatly help in reducing the overall operating costs and at the same time provide increased flexibility, reusability and reliability.

    The underlying standard protocol, defined through a group consensus, shall be responsible for transport of the e-maintenance data between the distributed subsystems via the TCP/IP standard within multiple administrative domains of e-maintenance across wired and wireless networks.

    This paper also looks at e-maintenance from a systems integration perspective and illustrates how open systems based approach can help achieve integration better.

    Download full text (pdf)
    FULLTEXT01
  • 3.
    Famurewa, Stephen Mayowa
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Asplund, Matthias
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Rantatalo, Matti
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Maintenance analysis for continuous improvement of railway infrastructure performance2015In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 11, no 7, p. 957-969Article in journal (Refereed)
    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.

  • 4.
    Famurewa, Stephen Mayowa
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Application of Maintenance Performance Measurement for Continuous Improvement in Railway Infrastructure Management2015In: International Journal of COMADEM, ISSN 1363-7681, Vol. 18, no 1, p. 49-58Article in journal (Refereed)
    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

  • 5.
    Galar, Diego
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Baglee, D.
    School of Computing and Technology, University of Sunderland.
    Morant, Amparo
    Luleå tekniska universitet, Drift, underhåll och akustik.
    The measurement of maintenance function efficiency through financial KPIs2012In: 25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM 2012): 18–20 June 2012, Huddersfield, UK, IOP Publishing Ltd , 2012, article id 012112Conference paper (Refereed)
    Abstract [en]

    The measurement of the performance in the maintenance function has produced large sets of indicators that due to their nature and disparity in criteria and objectives have been grouped in different subsets lately, emphasizing the set of financial indicators. The generation of these indicators demands data collection of high reliability that is only made possible through a model of costs adapted to the special casuistry of the maintenance function, characterized by the occultism of these costs.

  • 6.
    Galar, Diego
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Berges, Luis
    Manufacturing Engineering and Advanced Metrology Group, Aragon Institute of Engineering Research (13A), University of Zaragoza.
    Maintenance metrics: a hierarchical model of balanced scorecard2011In: 2011 IEEE International Conference on Quality and Reliability: ICQR 2011 : Bangkok, 14 September 2011-17 September 2011, Piscataway, NJ: IEEE Communications Society , 2011, p. 67-74Conference paper (Refereed)
    Abstract [en]

    The system of performance measurement of maintenance function should cover all processes related to it within the organization. There must be an interconnection between the different indicators, so the numbers can be interpreted in order to reach a good conclusion for decision making. This premise implies a hierarchy of indicators needed in a dual way. First, it will require maintenance indicators to be segmented according to the areas of influence for the rest of the organization, posed by interactions with finance department, human resources, purchasing, and, of course, with production in the seeking of compliance with corporate objectives. Simultaneously, these indicators correspond to different levels in the organization and therefore they will be segmented according to the hierarchical position of end users.

  • 7.
    Galar, Diego
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Rupesh
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Berges, Luis
    University of Zaragoza.
    Human factor in maintenance performance measurement2011In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Piscataway, NJ: IEEE Communications Society , 2011, p. 1569-1576Conference paper (Refereed)
    Abstract [en]

    The maintenance performance measurement is often faced with a lack in knowledge about the real function of the maintenance department within organizations, and consequently the absence of appropriate targets emanating from the global mission and vision. These facts bring about metrics not adapted to the real needs, which has a strong load of human factor and without a roadmap of the amount of data to be collected, their processing and use in decision making. This article proposes a model where qualitative and quantitative methods are combined in order to complement advantages and disadvantages of them both.

  • 8.
    Karim, Ramin
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Candell, Olov
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    eMaintenance industrial applications: issues and challenges2014In: Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management / [ed] Jay Lee; Jun Ni; Jagnathan Sarangapani; Joseph Mathew, New York: Encyclopedia of Global Archaeology/Springer Verlag , 2014, p. 33-40Conference paper (Refereed)
    Abstract [en]

    Achieving business excellence within industries which utilise complex technical systems requires effective and efficient maintenance. Maintenance is an important enabler of business performance. An effective maintenance strategy creates additional values in an organisation’s value-generating process. Establishing an effective and efficient maintenance process is highly dependent on supporting Information and Communication Technology (ICT) infrastructure for information logistics that facilitates maintenance decision support. eMaintenance solutions facilitates effective and efficient management and control of maintenance activities through an enhanced utilisation of computing; like;.estimation of their Remaining Useful Life (RUL); reduction of No-Fault Found (NFF); and prediction of fault. eMaintenance solutions enable a seamless integration and fusion of information services provided by information intensive systems with embedded components in order to manage increasing and extentensively distributed real‐time data collected via different data sources (e. g. sensors). Since, the emerging ‘Internet of Things’ is expecting to dramatically change information systems with inherent embedded components, eMaintenance solutions need to be adapted to this new context to fulfil the overall business requirements on an effective and efficient decision-making process; for e.g.: real‐time analysis based on real‐time data and context-aware information logistics. However, development and establishment of proper eMaintenance solutions can be facilitated through utilisation of appropriate framework which deals with real-world challenges. This paper explores some of the issues and challenges pertaining to eMaintenance industrial application.

  • 9.
    Karim, Ramin
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, AdityaLuleå tekniska universitet, Drift, underhåll och akustik.Kumar, UdayLuleå tekniska universitet, Drift, underhåll och akustik.
    Proceedings of the 2nd International Workshop & Congress on eMaintenance: Dec 12-14 Luleå, Sweden : eMaintenace: trends in technologies and methodologies, challenges, possibilities and applications2012Collection (editor) (Other academic)
    Abstract [en]

    Compilation of papers presented in the technical sessions during the eMaintenance 2012. Some selected papers from the proceedings will be published in the international journals.

    The congress aims to provide a platform for discussions on the effective utilization of Information and Communication Technology (ICT) and emerging technologies in eMaintenance.

    The themes cover various areas, including data warehousing and data mining, embedded system technologies, diagnosis and prognosis, data quality, operation performance monitoring, information logistics, performance-based logistics, decision support, enterprise resource planning, data and service fusion, integrated logistics support, maintenance optimization, prognostic health management, and life cycle management.

    Download full text (pdf)
    FULLTEXT01
  • 10.
    Kour, Ravdeep
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Cloud Computing for Maintenance Performance Improvement2013Conference paper (Refereed)
    Abstract [en]

    Cloud Computing is an emerging research area. It can be utilised for acquiring an effective and efficient information logistics. This paper uses cloud-based technology for the establishment of information logistics for railway system which requires information based on data from different data sources (e.g. railway maintenance, railway operation, and railway business data). In order to improve the performance of the maintenance process relevant data from various sources need to be acquired, filtered, fused, integrated, and analysed for decision making and to facilitate for example, diagnostics and prognostics decisions. The process of maintenance information provisioning is highly dependent on an appropriate information logistics. In this paper the authors have tried to study the improvement in the maintenance performance of railway operations in Sweden.

    Download full text (pdf)
    FULLTEXT01
  • 11.
    Kour, Ravdeep
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Applications of radio frequency identification (RFID) technology with eMaintenance cloud for railway system2014In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 1, p. 99-106Article in journal (Refereed)
    Abstract [en]

    Radio Frequency Identification (RFID) helps automatic identification of objects using radio waves. This is not a new technology instead decades old and has been used during the World War II, when it was used by allied ground forces to track German bombers. It is a technology for wireless communication between a reader and a transponder/tag. This technology permits the transfer of data to the most diverse objects without the need for physical contact and uses intelligent barcodes to track items and have been successfully applied in military, security, healthcare, real time location tracking, vehicle identification and other areas. This paper is based on applications of radio frequency identification technology with eMaintenance cloud for railway system to analyze and visualize data of trains for the cost effective maintenance planning. Further, cloud computing is an emerging research area that can be utilised for acquiring an effective and efficient information logistics. Specifically, the widespread use of RFID will enable wagons to be tracked leading to better resource utilization, lower freight costs, and better maintenance. Therefore, it helps to provide greater control of the train carriages, making it easier to plan resources. However, RFID is a powerful tool that can help to improve industry proficiency, implementing this technology is not easy. Furthermore, operating RFID systems can be a challenging process. Thus, this paper is based on the application of RFID in the context of railway operation.

  • 12.
    Kumar, Uday
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Maintenance audits using balanced scorecard and maturity model2011In: Maintworld, ISSN 1798-7024, E-ISSN 1799-8670, no 3, p. 34-40Article in journal (Other academic)
    Abstract [en]

    There is increasing interest in the use of maintenance performance measurement (MPM) and the possibility of using the maintenance audits for benchmarking metrics. This article proposes a methodology for simple measurement, one that accepts the indicators used on a scorecard with four perspectives and is hierarchized according to organizational level. The maintenance audit will evaluate the degree of fulfillment of objectives and the degree of satisfaction obtained from each of those perspectives. It will provide a clear picture of the current status of maintenance organization and the success of implemented policies taking into account the maintenance maturity model, i.e, the logical evolution of the maintenance function in the company.

    Download full text (pdf)
    FULLTEXT01
  • 13.
    Kumar, Uday
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Berges, L.
    University of Zaragoza.
    Maintenance performance metrics: a state of the art review2011In: MPMM 2011: Maintenance Performance Measurement & Management: Conference Proceedings / [ed] Diego Galar; Aditya Parida; Håkan Schunnesson; Uday Kumar, Luleå: Luleå tekniska universitet , 2011, p. 3-34Conference paper (Refereed)
    Abstract [en]

    This paper provides an overview of research and developments in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in, and references for, the measurement of maintenance performance.

    The main focus is to determine how value can be created for organizations by measuring maintenance performance, looking at such maintenance strategies as condition based maintenance, reliability centered maintenance, e-maintenance etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

    The paper asks the following research questions:

    - What approaches and techniques are used for Maintenance Performance Measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies?

    - In general, how can MPM create value for organizations, and more specifically, which system of measurement is best for which maintenance strategy?

    The body of knowledge on maintenance performance is both quantitative and qualitative based. Quantitative approaches include economic and technical ratios, value-based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst others. Qualitative-based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

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    FULLTEXT01
  • 14.
    Kumar, Uday
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, RaminLuleå tekniska universitet, Drift, underhåll och akustik.Parida, AdityaLuleå tekniska universitet, Drift, underhåll och akustik.Tretten, PhillipLuleå tekniska universitet, Drift, underhåll och akustik.
    Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications2014Conference proceedings (editor) (Refereed)
    Abstract [en]

    Compilation of papers presented in the technical sessions during the eMaintenance 2014.

    Download full text (pdf)
    FULLTEXT01
  • 15.
    Kumar, Uday
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Special issue on eMaintenance solutions and technologies: guest editorial2010In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 1, no 3, p. 187-188Article in journal (Other academic)
    Abstract [en]

    Guest Editorial - Special issue on eMaintenance solutions and technologies

  • 16.
    Lin, Jing
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Asplund, Matthias
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Bayesian parametric analysis for reliability study of locomotive wheels2013In: Proceedings on the 59th Annual Reliability and Maintainability Symopsium (RAMS 2013), 2013Conference paper (Refereed)
    Abstract [en]

    This paper proposes a new approach to study reliability of locomotive wheels with Bayesian framework, utilizing locomotive wheel degradation data sets that can be small or incomplete. In our study, a linear degradation path is assumed and locomotive wheels’ installation positions are considered as covariates. A Markov Chain Monte Carlo (MCMC) computational method is also implemented. In the case study, data were collected from a Swedish railway company. This data includes, the diameter measurements of the locomotive wheels, total distances corresponding to their “time to maintenance”, and the wheels’ bill of material (BOM) data. During this study, likelihood functions were constructed for Expontional regression models, Weibull regression models, and lognormal regression models.

    The results show that the locomotive wheels’ lifetimes are dependent on installation positions. For the studied locomotive wheels data, the Lognormal regression model is a better choice, because the model obtained the lowest Deviance Information Criterion (DIC) values. In addition, under current operation situation (e.g. topography) and current maintenance strategies (re-profiled, lubrication, etc.), the locomotive wheels installed in the second bogie have longer lifetimes than those installed in the first bogie; the wheels installed on the “back” axle have longer lifetimes than those on the “front” axle; and the right side wheels’ lifetime is shorter than that for the left side under a given running situation.

    Download full text (pdf)
    FULLTEXT01
  • 17.
    Lin, Jing
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Asplund, Matthias
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Reliability analysis for degradation of locomotive wheels using parametric Bayesian approach2014In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 30, no 5, p. 657-667Article in journal (Refereed)
    Abstract [en]

    This paper undertakes a reliability study using a Bayesian survival analysis framework to explore the impact of a locomotive wheel's installed position on its service lifetime and to predict its reliability characteristics. The Bayesian Exponential Regression Model, Bayesian Weibull Regression Model and Bayesian Log-normal Regression Model are used to analyze the lifetime of locomotive wheels using degradation data and taking into account the position of the wheel. This position is described by three different discrete covariates: the bogie, the axle and the side of the locomotive where the wheel is mounted. The goal is to determine reliability, failure distribution and optimal maintenance strategies for the wheel. The results show that: (i) under specified assumptions and a given topography, the position of the locomotive wheel could influence its reliability and lifetime; (ii) the Bayesian Log-normal Regression Model is a useful tool.

  • 18.
    Nadakatti, Mahantesh
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Knowledge Based Condition Monitoring System Using Matlab2014In: Construction and Maintenance of Railway Infrastructure in Complex Environment / [ed] F. Chen; L. Gao; L.J. Wang; X.P. Cai, Bejing: China Railway Publishng House , 2014, p. 409-414Conference paper (Refereed)
    Abstract [en]

    There has been a steady rise in the machine health monitoring research due to increasing complexities of the industrial machinery. Cost of the machines and machine downtime effects like production loss, maintenance expenses and reduction in overall plant productivity are the areas of concern for modern manufacturing plants. Researchers are developing newer models and algorithms to overcome new issues and challenges in the machine health monitoring using various tools and techniques for both online and off-line machine conditions. The present paper proposes an off-line knowledge based application for machine health monitoring using MATLAB. The application has modules for intelligently addressing the machinery troubleshooting problems based on vibration standard, ISO 10816. The proposed application has three modules: machinery vibration troubleshooting, vibration severity criterion and induction motor troubleshooting. The application is simple to use and modify in which, the machine faults can be detected and analyzed quickly. This will reduce the machine down-time, maintenance costs, etc., and increase the plant productivity

  • 19.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Juntti, Ulla
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Famurewa, Stephen Mayowa
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Capacity Enhancement through Optimized Maintenance of Railway Networks2014Conference paper (Refereed)
    Abstract [en]

    Rail traffic has increased manifold during the last decade. This development and the need for shift transportation from road to rail to decrease CO2 emission, creates a challenge for the railway industry to improve capacity in the network. The challenge is to do more effective inspection and maintenance in less time. An EU project ‘AUTOMAIN’ was initiated to optimize and automate maintenance and inspection activities with introduction of new planning and scheduling tools and methodologies. The project looked into reducing the maintenance possession time by around 40%. The project aim was to; adopt best practices from other industries in maintenance optimization, developing novel track inspection approaches for freight routes. The scope was for in-train measuring and self-inspecting switch, researching and assessing innovations that can improve the effectiveness and efficiency of large scale inspection and maintenance processes with a scope on track and switch maintenance, track inspection; developing key technologies that will drive the development of modular infrastructure design, and developing a new maintenance planning and scheduling tool to optimize the maintenance activities, taking account of the benefits brought about by other improvements in this project.The Consortium composition covers the railway maintenance and inspection field like; infrastructure managers, contractors, train operating companies, railway component industry, research organizations, small and medium enterprises (SMEs) and railway industry related organizations. In this paper, the authors have tried to summarize the methodology and results achieved in this project and how it has achieved the reduced maintenance possession time for higher railway traffic movements.

    Download full text (pdf)
    fulltext
  • 20.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Performance measurement and management for maintenance: A literature review2015In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 21, no 1, p. 2-33Article in journal (Refereed)
    Abstract [en]

    Purpose:The purpose of this paper is to provide a literature review of the performance measurement in maintenance. The authors aim to discuss the background and development of the performance measurement for maintenance, besides defining the concept of performance measures for maintenance and the frameworks developed.Design/methodology/approach:A detailed and extensive literature search and study was undertaken by the authors on the concept and definition of performance measurement, performance indicators, maintenance performance indicators and various performance frameworks. The history and theory of performance measurement over different phases of business and technological developments have been critically examined and analysed in this review paper. Findings:This paper reviews and presents the different performance indicators (PIs) and performance measurement (PM) frameworks like; balanced scorecard, performance prism, performance pyramid and performance matrix etc, and identifies their characteristics and shortcomings. After considering related issues and challenges, frameworks and approaches for the maintenance performance measurement (MPM) are also presented, where the emerging techniques like; e-maintenance have also been discussed amongst others. More and more industries are applying the balanced and integrated MPM frameworks for their competitive survivability and sustainability.Practical implications:The concept, issues and approaches considered for the MPM frameworks can be adapted by the practicing managers, while trying to define and develop an MPM framework for the operation and maintenance activities. The considerations of the advantages and limitations of different frameworks can provide insights to the managers for implementation. Originality/value:Some literature reviews on MPM and MPM frameworks are available today. This paper makes an attempt to provide a detailed and relevant literature review, besides adding value in this new and emerging area.

  • 21.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Performance Measurement for Managing Railway Infrastructure2014In: The international Journal of railway technology, ISSN 2049-5358, E-ISSN 2053-602X, Vol. 2, no 4, p. 1-14Article in journal (Refereed)
    Abstract [en]

    An effective and efficient railway infrastructure is essential to assure assetperformance which is often measured in terms of high availability, high level ofsafety and good track quality, besides value addition. Thus, the measurement ofasset maintenance performance has become an essential element of strategicthinking for railway asset owners and managers. The area of asset maintenanceperformance is relatively new and emerging, besides its complexity with regards to the many internal and external stakeholders, all with conflicting interests. Therailway infrastructures’ overall objectives and strategies are required to be broken down through the hierarchical level, converting them into various key performance indicators (KPIs) for measurement, data collection, analysis, and decision making at appropriate levels through aggregation. This paper looks into some of the performance measurement issues of railways, and how these issues can be solved through data aggregation, analysis, simulation,and presentation. Following a discussion of these issues, a case study is carried out to demonstrate how performance can be analysed and presented.

  • 22.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Al-Jumaili, Mustafa
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Natural language processing of maintenance records data2015In: International Journal of COMADEM, ISSN 1363-7681, Vol. 18, no 2, p. 33-37Article in journal (Refereed)
    Abstract [en]

    Enterprise resource planning systems and maintenance management systems are commonly used by organisations for handling of maintenance records, through a graphical user interface. A maintenance record consists of a number of data fields, such as drop-down lists, list boxes, check boxes and text entry fields. In contrast to the other data fields, the operator has the freedom to type in any text in the text entry fields, to complement and make the maintenance record as complete as possible. Accordingly, the text entry fields of maintenance records can contain any words, in any number.Data quality is crucial in statistical analysis of maintenance records, and therefore manual analysis of maintenance records’ text entry fields is often necessary before any decision making. However, this may be a very tedious and resource consuming process.In this article, natural language processing is applied to text entry fields of maintenance records in a case study, to show how it can bring further value in the assessment of technical assets’ performance.Keywords: Maintenance records, Natural language processing, Structured and unstructured data, Data quality, Rail infrastructure.

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  • 23.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Famurewa, Stephen Mayowa
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Impact of cold climate on failures in railway infrastructure2012Conference paper (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade due to greater energy costs and the need to reduce emissions. Ensuring the dependability and capacity of railway infrastructure requires efficient and effective maintenance which, in turn, requires good understanding of various physical behaviours, e.g. deterioration and environmental effects. This paper studies the effect of cold climate on railway infrastructure performance using statistics and historical work order data. It finds differences in the number of work orders as a function of season and geographical location.

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  • 24.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Norrbin, Per
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Preventive and corrective maintenance: cost comparison and cost–benefit analysis2016In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 12, no 5, p. 603-617Article in journal (Refereed)
    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.

  • 25.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Link and Effect Model for Maintenance of Railway Infrastructure2013Report (Other academic)
    Abstract [en]

    Railways are large linear assets of electrical and mechanical systems, and consequently the infrastructure managers (IMs) are extensive with many stakeholder involved. The railway infrastructure and the IMs consist of technical and organisational levels: system, subsystem and component levels, and strategic, tactical and operational levels, respectively. The purpose of this project is to develop a methodology for improving performance measurement systems for railway infrastructure, which integrates both the technical and organisational perspectives, vertically and laterally. It involves several objectives, hundreds of parameters and indicators, data collection, and aggregation of information.The work that has been carried out is as under:

    • Overall mapping of the operation and maintenance of the Swedish railway infrastructure through interviews and literature review. (Section 4.1)

    • Railway infrastructure performance indicators have been mapped, structured and compared to European Standards, to act as a reference. About 120 measures were identified and 11 are similar to European Standards maintenance key performance indicators. (Section 4.2 and Appendix A)

    • A link and effect model has been developed to facilitate improvement of performance measurement systems, by combining performance measurement and engineering principles. It is based on the plan-do-study-act (PDSA) cycle with emphasis on the key components of strategic planning. A case study on the Swedish Iron Ore Line has been carried out to verify the model. (Section 4.3)

    • An index, or composite indicator, for operation and maintenance of railway infrastructure was developed within the case study, similar to risk matrices and failure mode effect analysis (FMEA). The index is based on infrastructure failures and train delays with equal weighting. (Section 4.3)

    • Another index has been developed in a continuation of the case study that also includes maintenance times and further weighting. (Section 4.4)

    • The impact and significance of cold climate on failures in railway infrastructure has been studied in another case study on the Iron Ore Line and the Coast-to-Coast Line in Sweden. (Section 4.5)

    • A railway RAMS (reliability, availability, maintainability and safety/supportability) analyser software has been developed to demonstrate cost-effective analysis, data presentation and simulation. (Section 4.6 and Appendix B)

    • As a prestudy, maintenance possession time (maintainability) has been simulated in terms of the actual time to repair as a function of track capacity utilisation, set-up/clearance time and required active repair time. (Section 4.7)

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  • 26.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Measuring performance of linear assets considering their spatial extension2014In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 20, no 3, p. 276-289Article in journal (Refereed)
    Abstract [en]

    Purpose - In this study we investigate how performance of linear assets can be analysed and displayed, considering both the technical asset and the user context, to simplify cognitive tasks of planning and decision-making.Design/methodology/approach - Linear, or continuous assets, such as roads, railways, electrical grids and pipelines, are large, geographically spread out technical systems. Linear assets are comprised of system, subsystem and component levels. Thus, asset managers are involved with each level of the linear asset; asset management has strategic, tactical and operational levels. A methodology is developed to link together the technical and organisational levels and to measure asset performance considering their spatial extension. Geographical location and time are used as independent variables.Findings - For performance measurement of linear assets, it is found that the spatial extension is an equally generic dimension as time is for technical assets in general. Furthermore, as linear assets actually are combinations of linear and point assets; separate analysis of these assets is a prerequisite. Asset performance has been studied in a case study in terms failures and cost; the results indicate that the methodology visualise poor, as well as good, performance in an easy to interpret manner. Besides, the results indicate that other parameters related to dependability can be presented in a similar way.Practical implications - This study highlights the importance of including the spatial or geographical extension of linear assets in infrastructure managers’ performance measurement. It is believed that the methodology can make planning and decision making more effective by pointing out improvement areas in technical assets, in a way that is appealing to both technicians and managers.Originality/value - The presented methodology and case study analysed performance in function of both the technical and organisational levels, including the spatial component. It is believed that the methodology for analysing and visualising performance of linear assets is distinctive.Keywords - Linear assets, performance measurement, dependability, maintenance, eMaintenance, railways

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  • 27.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Åtgärds- och effektmodell för effektivare underhåll av järnvägar2013Report (Other academic)
    Abstract [sv]

    Järnvägar är stora kapitalintensiva system bestående av både elektriska och mekaniska delsystem, och följaktligen är dess drift och underhåll omfattande med många intressenter inblandade. Järnvägar och infrastrukturförvaltare utgörs av tekniska och organisatoriska nivåer, mao.: system-, delsystem- och komponentnivå, samt strategisk, taktisk och operativ nivå. Syftet med detta projekt är att ta fram en metod för att underlätta utveckling av system för att mäta och övervaka tillförlitlighet i järnvägar. Modellen ska integrera både tekniska och organisatoriska perspektiv, vertikalt såväl som lateralt. Detta omfattar åtskilliga mål, hundratals indikatorer och parametrar, datainsamling och aggregering av data.Arbetet som har genomförts är enligt följande:

    • Övergripande kartläggning av Trafikverkets drift och underhåll av järnvägar, genom intervjuer och litteraturstudie (Avsnitt 4.1).

    • Indikatorer och parametrar för mätning av tillförlitlighet inom järnvägar har kartlagts och jämförts med SS-EN 15341:2007, ’Nyckelprestations-indikatorer’, för att fungera som referens. Ungefär 120 indikatorer och parametrar har identifierats, varav 11 är likartade med nyckeltal i SS-EN 15341 (Avsnitt 4.2 och Bilaga A).

    • En åtgärds- och effektmodell har tagits fram för att underlätta utveckling och kontinuerlig förbättring av system för att mäta och övervaka tillförlitlighet i järnvägar. Modellen grundar sig på cykeln planera-genomföra-utvärdera-förbättra med betoning på huvudfaktorerna för strategisk planering. En fallstudie på Malmbanan, har gjorts för att verifiera och demonstrera metoden (Avsnitt 4.3).

    • Inom fallstudien utvecklades ett drift- och underhållsindex baserat på funktionsfel och tågförseningar med lika viktning (Avsnitt 4.3).

    • Index för drift och underhåll utvecklades vidare som en fortsättning på fallstudien för att även inkludera underhållstider, samt lika viktning, beroendeviktning och viktning från expertomdöme, mao. kvantitativ och kvalitative viktning (Avsnitt 4.4).

    • Inverkan av kallt klimat på funktionsavbrott i järnvägar har studerats i en annan fallstudie på Malmbanan och Kust-till-kust-banan (Avsnitt 4.5).

    • En programvara för tillförlitlighet, dvs. RAMS-analys (funktionssäkerhet, driftsäkerhet/ tillgänglighet, underhållsmässighet och säkerhet/underhållssäkerhet), för järnvägar har utvecklats för att demonstrera kostnadseffektiva analyser, datapresentation och simulering (Avsnitt 4.6 och Bilaga B).

    • Som en förstudie har underhållstid i spår mellan tåglägen simulerats med avseende på den faktiska tiden för underhåll som funktion av kapacitetsnyttjande, uppställnings-/uppröjningstid och erfordrad aktiv tid för reparation (Avsnitt 4.7).

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  • 28.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Performance indicators of railway infrastructure2012In: The international Journal of railway technology, ISSN 2049-5358, E-ISSN 2053-602X, Vol. 1, no 3, p. 1-18Article in journal (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade and it is believed to increase further with the movement of transportation from road to rail, due to the increasing energy costs and demand to reduce emissions. As a result of increasing need of railway capacity, more efficient and effective operation and maintenance is required. To manage the assets effectively within the business objectives, the results of operation and maintenance activities must be measured and monitored.

    Performance indicators are developed to support infrastructure managers in decision making, but they are often ad hoc and seldom standardised. In this paper, performance indicators for railway infrastructure, with primary focus on the railway track, have been mapped and compared with indicators of European Standards. The listed indicators can be applied to form a performance measurement system for railway infrastructure.Keywords: railway infrastructure, maintenance, operation, management, performance measurement, indicator.

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  • 29.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Link and effect model for performance improvement of railway infrastructure2013In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 227, no 4, p. 392-402Article in journal (Refereed)
    Abstract [en]

    Railway traffic has increased over the last decade due to its fuel efficiency and the need to reduce emissions. The railway infrastructure performance needs to be measured to allow assets to be managed effectively against set objectives. Various systems are used to collect and store data on traffic, failures, inspections, track quality, etc. However, these systems are often used in an ad hoc manner, partly because of the weaknesses of traditional performance measurement systems. This paper proposes a link and effect model which is focused on the areas of continuous improvement, the key elements of strategic planning and on the underlying factors responsible for the railway performance. The model provides information on the performance of railway systems and components, and how they are linked to each other and to the overall objectives, thereby facilitating proactive decision-making. The model is applied in a case study on the Iron Ore Line, Sweden. The performance of a section of the line is studied in terms of failures, train delays and repair times, and ranked through a risk matrix and composite indicator.

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  • 30.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Maintenance value drivers, killers and their indicators2011In: MPMM 2011: Maintenance Performance Measurement & Management: Conference Proceedings / [ed] Diego Galar; Aditya Parida; Håkan Schunnesson; Uday Kumar, Luleå: Luleå tekniska universitet , 2011, p. 125-130Conference paper (Refereed)
    Abstract [en]

    Value driven maintenance (VDM) is a fairly new maintenance management method based on four maintenance value drivers and to calculate the discounted present value (DPV) of the maintenance strategy. However, the dependability of the engineering assets needs to be assessed in order to make an estimation of the DPV. Therefore, the European standard EN 15341 has been studied, in order to find the most essential indicators for the four value drivers and for estimation of the DPV. Terminology containing drivers and killers are common in the field of asset management, but definitions are scarce. One section in this paper is therefore dedicated to review these terms.

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  • 31.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Performance indicators and terminology for value driven maintenance2013In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 19, no 3, p. 222-232Article in journal (Refereed)
    Abstract [en]

    Purpose – Value driven maintenance (VDM) is a fairly new maintenance management methodology based on four maintenance value drivers and the formula of net present value (NPV) to calculate the value of different maintenance strategies. However, the dependability of the engineering assets needs to be assessed in order to make an estimation of the NPV. Therefore, standardised indicators have been critically analysed to find the most essential indicators for the four value drivers and for estimation of the NPV. Terminology containing performance drivers and killers are common in the field of asset management, but not many publications can be found for their detailed descriptions. One section in this paper is therefore dedicated to review these terms. A comprehensive description and classification of performance killers and drivers, and of indicators for VDM are presented in this paper.

    Design/methodology/approach – Review of literature for technical terminology and review of standards for identification of indicators for maintenance performance measurement and NPV of maintenance.

    Findings – Common description of technical terminology as used by researchers and identification of the most important indicators for maintenance performance measurement and the NPV of maintenance. Indicators classified under economic, technical, organizational and HSE perspectives from EN 15341 standards are discussed and identified.

    Value – Description of emerging terminology in maintenance performance measurement adds to the consistency in communication of researchers and business stakeholders. Also, the identified maintenance performance indicators can facilitate performance measurement of organisations new to the process of measuring and analysing their performance.

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  • 32.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Lundberg, Jan
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Development of an integrity index for benchmarking and monitoring rail infrastructure: application of composite indicators2015In: International Journal of Rail transportation, ISSN 2324-8378, E-ISSN 2324-8386, Vol. 3, no 2, p. 61-80Article in journal (Refereed)
    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

  • 33.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Wandt, Karina
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Drift, underhåll och akustik.
    Data to decision through contextual presentation of railway infrastructure performance2012In: Proceedings of the 2nd International Workshop & Congress on eMaintenance: Dec 12-14 Luleå, Sweden : eMaintenace: trends in technologies and methodologies, challenges, possibilities and applications / [ed] Ramin Karim; Aditya Parida; Uday Kumar, Luleå: Luleå tekniska universitet , 2012, p. 7-14Conference paper (Refereed)
    Abstract [en]

    Asset performance measurement is an integral part of business process designed to support infrastructure managers in decision-making. Managing infrastructure performance throughout an asset’s life cycle is a challenge; assessment is a complex issue involving various inputs and outputs, as well as conflicting requirements of different stakeholders. For railway infrastructure managers, the most critical issue is to reduce maintenance possession time, to minimise train delays and meet passengers’ and societal needs.

    In this study, we collect and analyse work order and train delay data for one section of the iron ore railway line in Sweden. The aim is to present the overall performance of an asset for its end users, considering both the asset context and the user context, to ensure effective planning and decision-making. The case study results can also be used for internal and external benchmarking, and to identify performance problems of the infrastructure. 

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