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Featured researches published by Aditya Parida.


Journal of Quality in Maintenance Engineering | 2006

Maintenance performance measurement (MPM): issues and challenges

Aditya Parida; Uday Kumar

Purpose - The purpose of this study is to identify various issues and challenges associated with development and implementation of a maintenance performance measurement (MPM) system. Design/methodo ...


Journal of Quality in Maintenance Engineering | 2007

Development of a multi‐criteria hierarchical framework for maintenance performance measurement (MPM)

Aditya Parida; Gopi Chattopadhyay

Purpose – The purpose of this study is to develop a multi‐criteria hierarchical maintenance performance measurement framework, which is balanced, holistic and integrated to various levels of the organization.Design/methodology/approach – Consolidation of published research and current practices are combined to study, identify and develop this proposed framework.Findings – A framework for maintenance performance measurement is proposed for developing and implementing a relevant, timely, reliable, cost and time‐effective and user‐friendly system for stakeholders at various levels. The indicators at the subsystem/component level, plant level and corporate level are linked with the MPIs for the organizational objectives and strategy.Practical implications – Management of maintenance performance is critical for long term economic viability of business and industry. Development of an integrated, balanced and holistic MPM system needs to consider various issues to measure the contribution of maintenance towards ...


Journal of Quality in Maintenance Engineering | 2013

Maintenance performance metrics: a state‐of‐the‐art review

Uday Kumar; Diego Galar; Aditya Parida; Christer Stenström; Luis Berges

Purpose – The purpose of this paper is to provide an overview of research and development 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, examining such maintenance strategies as condition‐based maintenance, reliability‐centred 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.Design/methodology/approach – A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance str...


Benchmarking: An International Journal | 2009

Maintenance performance indicators (MPIs) for benchmarking the railway infrastructure

Thomas Åhrén; Aditya Parida

Purpose – For railway infrastructure, benchmarking is an effective tool that can support the management in their pursuit of continuous improvement by the use of maintenance performance indicators (MPIs). Hence, there is a need to study the MPIs and link them with benchmarking. The purpose of this paper is to present case studies dealing with the application of benchmarking and maintenance performance indicators for the railway infrastructure.Design/methodology/approach – Case studies were conducted at Banverket (the Swedish Rail Administration) and at Jernbaneverket (the Norwegian National Rail Administration), which is responsible for the Norwegian part of the Iron Ore Line between Kiruna in Sweden and Narvik in Norway. The results from the two case studies are compared and analyzed. The benchmarking data for the railway infrastructure are retrieved, classified and analyzed for best practice improvement.Findings – MPIs can successfully use benchmarking as a tool for improvement by learning from within or...


Journal of Quality in Maintenance Engineering | 2007

Study and analysis of maintenance performance indicators (MPIs) for LKAB : a case study

Aditya Parida

Purpose – The purpose of this case study is to identify and develop maintenance performance indicators (MPIs) for a mineral processing plant producing high quality iron ore pellets, as well as studying and analyzing the short plant stops and planned maintenance stops.Design/methodology/approach – An action research approach was adopted for this study, with interactive process of interviews. The existing MPIs are analyzed and a set of MPIs are developed to measure the performance of balling area of the pelletization plant, where the effect of shorter stops in the process have been studied, analyzed and measured, and linked to the managements objectives. The utility of the MPIs are tested and validated within the framework of a multi‐criterion and hierarchical maintenance performance measurement (MPM) framework. The plant stop data of the plant were collected and analyzed for MPIs and for maintenance decision making. Some other criteria were also considered from a holistic, integrated and balanced viewpoin...


Journal of Quality in Maintenance Engineering | 2015

Performance measurement and management for maintenance: a literature review

Aditya Parida; Uday Kumar; Diego Galar; Christer Stenström

Purpose – The purpose of this paper is to provide a literature review of the performance measurement (PM) in maintenance. The authors aim to discuss the background and development of the PM 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 PM, performance indicators (PIs), maintenance performance indicators and various performance frameworks. The history and theory of PM 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 PIs and PM frameworks like; balanced scorecard (BSC), performance prism, performance pyramid and performance matrix, etc., and identifies their characteristics and shortcomings. After considering related issues and challenges, frameworks and appro...


Quality and Reliability Engineering International | 2014

Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach

Jing Lin; Matthias Asplund; Aditya Parida

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. Copyright


Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit | 2013

Link and effect model for performance improvement of railway infrastructure

Christer Stenström; Aditya Parida; Diego Galar; Uday Kumar

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 in 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.


ieee international conference on quality and reliability | 2011

Maintenance metrics: A hierarchical model of balanced scorecard

Diego Galar; Aditya Parida; Uday Kumar; Christer Stenström; Luis Berges

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.


industrial engineering and engineering management | 2011

Human factor in maintenance performance measurement

Diego Galar; Christer Stenström; Aditya Parida; Rupesh Kumar; Luis Berges

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.

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Christer Stenström

Luleå University of Technology

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Uday Kumar

Luleå University of Technology

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Diego Galar

Luleå University of Technology

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Ramin Karim

Luleå University of Technology

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Stephen Mayowa Famurewa

Luleå University of Technology

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Matthias Asplund

Luleå University of Technology

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Luis Berges

University of Zaragoza

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Jan Lundberg

Luleå University of Technology

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Rajiv Dandotiya

Luleå University of Technology

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Ulla Juntti

Luleå University of Technology

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