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  • 101.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: Development of maintenance performance indicators for a pelletization plant at LKAB2008Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 102.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: Increased production system's effectiveness through condition monitoring and prognostics2008Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 103.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: Measurement of hard and soft parameters for the production and maintenance process of the underground mine at LKAB Kiruna2008Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 104.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: "To study, analyze and identify maintenance performance indicators (MPI) for Vattenfall Service AB"2008Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 105.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Relevant health monitoring based maintenance for an effective strategic engineering asset management2008Ingår i: COMADEM 2008, Energy and environmental issues: Proceedings of the 21th International Congress and Exhibition. Prague, Czech Republic, 11-13 June 2008 / [ed] Pavel Mazal; Raj B K N Rao; Vaclav Svoboda, Brno: Czech Society for Non-destructive Testing , 2008, s. 377-384Konferensbidrag (Refereegranskat)
    Abstract [en]

    Industries need for an optimal preventive maintenance strategy integrated with health monitoring technique of plant and machinery system has led to the concept of relevant condition predictor (RCP) based maintenance system. The purpose of this concept is to prevent the failure of the plant and machinery system for improving their reliability and availability leading to effective strategic engineering asset management. This is achieved through relevant health monitoring of the critical plant and machinery system considering the application and cost-effectiveness of the monitoring technique. A review of the relevant health monitoring based maintenance is undertaken in this paper for achieving an effective strategic engineering asset management system.

  • 106.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Role of condition monitoring and performance measurement in asset productivity enhancement2007Ingår i: Proceedings of the 20th International Congress on Condition Monitoring and Diagnostic Engineering Management ; Faro, Portugal, June 13 - 15, 2007 ; COMADEM 2007: Congress theme: machinery & process health monitoring - future trends and prospects : / [ed] Ana C.V. Vieira, Coimbra: IT - Instituto de Telecommunicações , 2007, s. 525-531Konferensbidrag (Refereegranskat)
  • 107.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Study and analysis of maintenance performance indicators (MPIs) for LKAB: a case study2007Ingår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 13, nr 4, s. 325-337Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    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 management's 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 viewpoint in the model. Findings - This study resulted in identifying a set of MPIs for the operational level of the pelletization plant of LKAB, after analyzing the short plant stops and planned maintenance stops data, and the stakeholders' requirements. This study has identified nine MPIs at operational level or shop floor level that describe the status of plant and at the same time facilitates linking of plant performance with corporate strategy. Practical implications - The approach used in the paper to study, analyze and develop MPIs, can be useful for plant managers and asset owners to select and develop MPIs that can describe the health status of their plant and asset and that also can be linked to the corporate strategy. The framework used to verify the multi-criteria hierarchical framework can also be used by similar asset managers and infrastructure owners. This study has also lifted the impact of short duration stoppages, thus highlighting the total influence in terms of reduced life length, quality and productivity. This approach can be used by plant engineers, asset managers and infrastructure owners to assess the performance of maintenance process. Originality/value - This paper presents an approach for identifying MPIs relevant to the plant status and facilitating measuring maintenance performance at corporate level in a structured way.

  • 108. Parida, Aditya
    et al.
    Chattopadhyay, G.
    Faculty of Science Engineering and Health, CQ University, Gladstone Campus.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Performance measures for achieving asset productivity improvement2010Ingår i: Proceedings of the 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management: COMADEM 2010, Nara, 28 June 2010 through 2 July 2010 / [ed] Susumu Okumura, Hikone: Sunrise Publishing , 2010, s. 89-94Konferensbidrag (Refereegranskat)
    Abstract [en]

    Most of the manufacturing and process industry are unable to utilize the full capacity of their engineering plant and asset. It is more relevant that industry today should focus on the asset productivity improvement for utilizing the optimized capacity of their plants and assets. Now the moot question is how to measure the asset productivity improvement, unless we measure the performance of the engineering asset. In this paper the authors have tried to discuss various issues associated with the performance measurement of the engineering asset and to identify the measures, so that it can facilitate the asset owners and managers to achieve the asset productivity improvements

  • 109.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Chattopadhyay, Gopi
    Queensland University.
    Development of multi-criteria hierarchical framework for maintenance performance measurement (MPM)2007Ingår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 13, nr 3, s. 241-258Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    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 total business goals. In this paper, a multi-criteria hierarchical MPM framework has been developed. This framework can be used by the operating managers for their maintenance decisions at various levels of an organization. Originality/value – The paper presents a proposed MPM framework, which is integrated, and focuses on both internal and external effectiveness.

  • 110. Parida, Aditya
    et al.
    Chattopadhyay, Gopi
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Multi criteria maintenance performance measurement: a conceptual model2005Ingår i: Proceedings of 18th International Congress on Condition Monitoring and Diagnostic Engineering Management: Comadem - 2005, Cranfield: Cranfield University Press , 2005, s. 349-356Konferensbidrag (Refereegranskat)
  • 111.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Achieving sustainable development through maintenance excellence2012Ingår i: Journal of Applied Engineering Science, ISSN 1451-4117, Vol. 10, nr 2, s. 79-84Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Sustainability has been broadly defined as providing goods and services for current and future generations. Industries play a main role in that definition so more and more industries are working today to achieve sustainable development for their industry. Achieving a sustainable development needs strategic and continuous efforts involving the entire organization, where maintenance efforts play an important role. The management needs to understand and develop an appropriate strategic approach to understand the challenges involved and preparing all involved groups and personnel to achieve the sustainable development through application of maintenance performance measurement. Maintenance performance needs to be measured for managing and achieving the business objectives with a sustainable development goal. Maintenance plays a vital role in managing safety, energy saving, plant and machineries failure and productivity amongst others. To manage these activities, appropriate policy and planning is required to be developed enveloping the entire organization and necessary performance indicators are required to be identified to meet the unique requirements of the organization. In this paper, the authors have tried to discuss the issues and challenges associated with sustainable development with reference to maintenance performance measurement to achieve maintenance excellence.

  • 112.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Berges, L.
    University of Zaragoza.
    Decision support systems in maintenance: Fusion of business data and physical data2011Ingår i: The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies: St. David's Hotel, Cardiff, Wales, 20 - 22 June 2011 ; CM2011/MFPT2011, Longborough, Glos: Coxmoor Publishing Co. , 2011, s. 227-239Konferensbidrag (Refereegranskat)
    Abstract [en]

    Maintenance optimization is critical for enhancing the effectiveness of asset management system. Maintenance effectiveness depends on the quality, timeliness, accuracy and completeness of information related to machine degradation state, based on which decisions are made. With emergence of intelligent sensors to measure and monitor the health state of the component and gradual implementation of information and communication technologies (lCT) in organizations conceptualization and implementation of e-maintenance is turning into a reality. While e-maintenance shows a lot of promise, seamless integration of ICT into the industrial environment remains a challenge. Computer Maintenance Management Systems (CMMS) are the core of traditional maintenance record-keeping practices and often facilitate the usage of textual descriptions of faults and actions performed on a vehicle. Recently developed Condition Monitoring Systems (CM) are capable of directly monitoring asset components parameters; however, attempts to link observed CMMS events to CM sensor measurements have been fairly limited in their approach and scalability. In this article, we present our approach for addressing this predicament. We argue that understanding the requirements and constraints in conjunction - from maintenance and ICT perspectives - is necessary. We identify the issues that need be addressed for achieving successful e-maintenance providing a new theoretical process for integrating the two disparate data types

  • 113.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Berges, Luis
    University of Zaragoza.
    Decision support systems in maintenance: fusion of business data and physical data2012Ingår i: Condition Monitor, ISSN 0268-8050, nr 299, s. 7-12Artikel i tidskrift (Övrigt vetenskapligt)
    Abstract [en]

    Maintenance optimization is critical for enhancing the effectiveness of asset management system. Maintenance effectiveness depends on the quality,timeliness, accuracy and completeness of information related to machinedegradation state, based on which decisions are made. With emergenceof intelligent sensors to measure and monitor the health state of the component and gradual implementation of information and communication technologies (lCT) in organizations conceptualization and implementation of e-maintenance is turning into a reality. While e-maintenance shows a lot of promise, seamless integration of ICT into the industrial environment remains a challenge. Computer Maintenance Management Systems (CMMS) are the core of traditional maintenance record-keeping practices and often facilitate the usage of textual descriptions of faults and actions performed on a vehicle. Recently developed Condition Monitoring Systems (CM) are capable of directly monitoring asset componentsparameters; however, attempts to link observed CMMS events to CM sensormeasurements have been fairly limited in their approach and scalability.In this article, we present our approach for addressing this predicament.We argue that understanding the requirements and constraints in conjunction- from maintenance and ICT perspectives - is necessary. We identifythe issues that need be addressed for achieving successful e-maintenanceproviding a new theoretical process for integrating the two disparatedata types.

  • 114.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Schunnesson, Håkan
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Overall factory average spectrum: global vibration index for diagnosis and prognosis of large sets of rotating machinerry2011Ingår i: Diagnostyka, ISSN 1641-6414, Vol. 58, nr 2, s. 39-47Artikel i tidskrift (Refereegranskat)
  • 115.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Johansson, Daniel
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
    Edelman, Martin
    Success of reliability centered maintenance (RCM) lies in its implementation: a case study2004Ingår i: Euromaintenance 2004: Libro de conferencias, Conference Proceedings : 17° Congreso Europeo de Mantenimiento, 17th European Maintenance Congress : 11th - 13th of May, 2004 Barcelona - Spain, Barcelona: Asociacion Espanola de Mantenimiento , 2004, s. 229-236Konferensbidrag (Refereegranskat)
  • 116.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Juntti, Ulla
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Famurewa, Stephen Mayowa
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Capacity Enhancement through Optimized Maintenance of Railway Networks2014Konferensbidrag (Refereegranskat)
    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.

  • 117.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Juntti, Ulla
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Famurewa, Stephen Mayowa
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Asplund, Matthias
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Rantatalo, Matti
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Arasteh Khouy, Iman
    Project: Augmented Usage of Track by Optimisation of Maintenance, Allocation and Inspection of railway Networks2011Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 118.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: Key Performance Indicators for control and management of maintenance process through eMaintenance2014Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 119.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Karim, Ramin
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Thaduri, Adithya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Guest Editorial2017Ingår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, nr 3, s. 258-259Artikel i tidskrift (Övrigt vetenskapligt)
  • 120. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Application of overall equipment effectiveness (OEE) as a process performance indicator: a case study from Kiruna mines2004Ingår i: Geomintech, Symposium on New Equipment - New Technology Management & Safety in Mines & Mineral Based Industries: ENTMS 2004, 2004, s. 32-35Konferensbidrag (Övrigt vetenskapligt)
  • 121. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    E-maintenance: a future solution for the maintenance of mining equipments2004Ingår i: Mine Planning and Equipment Selection 2004: Proceedings of the Thirteenth International Symposium on Mine Planning and Equipment Selection, Wroclaw, Poland, 1-3 September 2004, 2004, s. 475-478Konferensbidrag (Refereegranskat)
    Abstract [en]

    Mining industry is facing unparalleled challenges with associated uncertainty in a global business scenario. These challenges have lead to the application of new technology (information and communication technology-ICT) together with innovative business approaches to reduce the overall costs, to bring about a change and savings in resources through enhanced overall equipment effectiveness (OEE). Of late many mining companies have identified maintenance as an strategic area and have brought the business focus to increase the effectiveness of maintenance processes and organisation.. The largest problems as exist in the mining industry, is a low OEE, which is 15-25 % below the target level. To improve the OEE in the mining industry, a model of collaborative e-maintenance is discussed and demonstrated in this paper. The paper also presents a framework for the development of Collaborative eMaintenance model.

  • 122. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    e-maintenance for equipment effectiveness in mining and mineral based industry2004Ingår i: Mine Planning and Equipment Selection 2004: Proceedings of the Thirteenth International Symposium on Mine Planning and Equipment Selection, Wroclaw, Poland, 1-3 September 2004, 2004, s. 475-478Konferensbidrag (Refereegranskat)
  • 123.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Integrated strategic asset performance assessment2009Ingår i: Engineering Asset Lifecycle Management: Proceedings of the 4th World Congress on Engineering Asset Management (WCEAM 2009), Ledra Marriott Hotel, Athens, 28-30 September 2009 / [ed] Dimitris Kiritsis, Brisbane: Cooperative Research Centre for Infrastructure and Engineering Asset Management , 2009, s. 25-30Konferensbidrag (Refereegranskat)
    Abstract [en]

    Asset performance assessment forms an integral part of a business process for heavy and capital intensive industry to ensure performance assurance. Managing the asset performance is critical for long term economic and business viability. Assessing the asset performance is a complex issue as it involves multiple inputs and outputs; and various stakeholders' dynamic requirements. Lack of integration among various stakeholders and their changing requirements in strategic asset performance assessment is still a problem for the companies. It is a challenge to integrate a whole organization, where free flow and transparency of information is possible; and each process is linked to integrate to achieve the company's business goals. In this paper, various issues associated with an integrated strategic asset performance assessment are discussed.

  • 124.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Maintenance Performance Measurement Methods, Tools and Application2009Ingår i: Maintworld, ISSN 1798-7024, E-ISSN 1799-8670, nr 1, s. 50-53Artikel i tidskrift (Övrigt vetenskapligt)
    Abstract [en]

    For many asset-intensive industries, the costs of maintenance are a significant portion of theoperational cost. In addition, breakdowns and downtime have an impact on the plant capacity,product quality, and cost of production, as well as health, safety and the environment. To improvethe maintenance function, in any context, it is essential that its performance both from external (theimpact on customers’ business process that is the value generated for the customer) and internal(the work processes in maintenance itself and its integration with in the organization) are measured.This article analyses the issues and challenges associated with the different facets of maintenanceperformance measurement (MPM) and presents tools and methods to measure the performanceof maintenance and illustrates their applicability through simple examples.

  • 125. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Maintenance performance measurement (MPM): issues and challenges2006Ingår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 12, nr 3, s. 239-251Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    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/methodology/approach - An analytical approach is adopted to identify the issues and challenges associated with MPM. Findings - The study finds that for successful implementation of MPM all employees should be involved and all relevant issues need to be considered. Furthermore, the traditional overall equipment effectiveness (OEE) used by the companies is inadequate, as it only measures the internal effectiveness. For measuring the total maintenance effectiveness both internal and external effectiveness should be considered. Practical implications - What cannot be measured cannot be managed effectively. To manage maintenance process operating managers and asset owners need to measure the contribution of maintenance towards their business goals. This paper discusses issues and challenges associated with MPM system, there by helping the managers to take care of the pitfalls of the MPM system and advocates that managers should focus on measuring the total effectiveness of maintenance process. Originality/value - The paper presents a concept of total maintenance effectiveness with focus on both internal and external effectiveness, and integration of the hierarchical levels and multi-criteria maintenance performance indicators of MPM system.

  • 126. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Maintenance productivity and performance measurement2009Ingår i: Handbook of Maintenance Management and Engineering, London: Encyclopedia of Global Archaeology/Springer Verlag, 2009, s. 17-41Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    Maintenance productivity is one of the most important issues which govern the economics of production activities. However, productivity is often relegated to second rank, and ignored or neglected by those who influence production processes (Singh et al. 2000). Productivity in a narrow sense has been measured for several years (Andersen and Fagerhaug, 2007). Since maintenance activities are multidisciplinary in nature with a large number of inputs and outputs, the performance of maintenance productivity needs to be measured and considered holistically with an integrated approach. With increasing awareness that maintenance creates added value to the business process; organizations are treating maintenance as an integral part of their business (Liyanage and Kumar, 2003). For many asset-intensive industries, the maintenance costs are a significant portion of the operational cost. Maintenance expenditure accounts for 20-50 % of the production cost for the mining industry depending on the level of mechanization. In larger companies, reducing maintenance expenditure by $1 million contributes as much to profits as increasing sales by $3 million (Wireman, 2007). The amount spent on the maintenance budget for Europe is around 1500 billion euros per year (Altmannshopfer, 2006) and for Sweden 20 billion euros per year (Ahlmann, 2002). In open cut mining, the loss of revenue resulting from a typical dragline being out of action is US $ 0.5-1.0 million per day, and the loss of revenue from a 747 Boeing plane being out of action is roughly US $ 0.5 million per day (Murthy et al. 2002). Therefore, the importance of maintenance productivity is understood more and more by the management of the companies.

  • 127. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Managing information is key to maintenance effectiveness2004Ingår i: Proceedings of the IMS 2004 International Conference on Intelligent Maintenance Systems, 2004Konferensbidrag (Refereegranskat)
    Abstract [en]

    Under present business scenario, maintenance is emerging as an important part of the strategic thinking of assets owners and infrastructure managers. To manage maintenance activities effectively, measurement of the maintenance performance is desired to be undertaken. Implementation of a successful maintenance performance management system essentially necessitates an effective management of all relevant maintenance related information. Managing information is important to enhance the effectiveness of maintenance process. Right information in right time facilitate easy and correct decision making. With the advent of ICT (information and communication technology), asset owners and managers are finding it easier to use information in an innovative manner to enhance maintenance effectiveness and thereby reduce the business risks related to production volume, quality and safety targets. A step taken towards implementation e-Maintenance concepts is one of such example, where the goal is to facilitate seamless flow of maintenance and production related information to meet the business goals. In this paper, we discuss the importance of information logistics with a special reference to management of maintenance process. While discussing various aspects of maintenance information system, a conceptual framework for e-Maintenance and performance measurement for maintenance effectiveness is discussed in this paper

  • 128. Parida, Aditya
    et al.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Measurement of environmental management's system effectiveness2004Ingår i: Environmental issues and waste management in energy and mineral production: proceedings of the Eight International Symposium Environmental Issues and Waste Management Energy and Mineral Production - SWEMP 2004, Kemer, Antalya, Turkey, 17-20 May 2004 / [ed] A G Paşamehmetoğlu; A Özgenoğlu; A Y Yeşilay, Ankara: Atilim Univ., , 2004, s. 33-38Konferensbidrag (Övrigt vetenskapligt)
  • 129.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Strategic issues in engineering asset performance measurement management2010Konferensbidrag (Refereegranskat)
  • 130.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Performance measurement and management for maintenance: A literature review2015Ingår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 21, nr 1, s. 2-33Artikel i tidskrift (Refereegranskat)
    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.

  • 131.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Nordström, Jakob
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Lundberg, Jan
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Dandotiya, Rajiv
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Crack detection methods for mining mill machinery2010Ingår i: Asset Management & Maintenance Journal, ISSN 1835-789X, Vol. 23, nr 2, s. 44-49Artikel i tidskrift (Refereegranskat)
  • 132. Parida, Aditya
    et al.
    Phanse, Kaustubh
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    An integrated approach to design and development of e-maintenance system2004Ingår i: A fusion of harmonics: proceedings of the 3rd International Conference on Vibration Engineering and Technology of Machinery and the 4th Asia-Pacific Conference on System Integrity and Maintenance, 6 - 9 December 2004, [New Delhi] / [ed] N. S Vyas, New Dehli: Allied Publishers Ltd , 2004, s. 1141-1147Konferensbidrag (Refereegranskat)
  • 133.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Asset performance evaluation: A recipe for success or failure2016Ingår i: Proceedings for the COMADEM 2016, 2016Konferensbidrag (Refereegranskat)
    Abstract [en]

    Abstract.The prevailing economicdownturn, looming global recession, vola-tile energy and asset prices with emerging technology for prescriptive analytics and increasing budgetary cuts have compelled the companies to manage its en-gineering assets competitively for survival and growth. As per international standard ISO 55001:2014, performance evaluation is fundamental to asset man-agement system (AMS). Asset maintenance performance measurement and management (AMPM) is a recognized process and best practice for supporting sustainability and return on investment.It is hard for an organization to improve the present level of performance of the engineering assets without measurement. Therefore, all functions including units and processes of the organization need to be built and developed as per as-set management principles, such as; ISO 55000 series standard. The challenges in AMPM are to prepare a strategic road map from top management level to the operational level through a link and effect model for identifying and developing key performance indicators (KPI). These KPIs are broken down to measures which are used for monitoring and controlling the unplanned downtime with in-creased reliability, availability, maintainability and safety. Other challenges are to define and develop methods for right data collection through condition moni-toring and big data analytics, beside management for knowledge management. eMaintenance is required for remote data collection, storage, analysis and deci-sion making. The KPIs and indicators will be used for developingcomposite indicators (CI) for bench marking the performance with the best in the industry, besides verifying the return on investment.The author has discussed the various compulsions and challenges associated with asset performance evaluation (APE) for AMPM for the organization. Once the AMPM fundamentals and recipe is known, its success or failure will depend on finding solutions for the challenges while defining, structuring, developing, and implementing AMPM system.

  • 134.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: Link and Effect Model for Maintenance of Railway Infrastructure2011Övrigt (Övrig (populärvetenskap, debatt, mm))
  • 135.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Stenström, Christer
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Performance Measurement for Managing Railway Infrastructure2014Ingår i: The international Journal of railway technology, ISSN 2049-5358, E-ISSN 2053-602X, Vol. 2, nr 4, s. 1-14Artikel i tidskrift (Refereegranskat)
    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.

  • 136.
    Parida, Aditya
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Tretten, Phillip
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Condition Monitoring and Diagnosis of Modern Dynamic Complex Systems using Criticality aspect of Key Performance Indicators2017Ingår i: International Journal of COMADEM, ISSN 1363-7681, Vol. 20, nr 1, s. 35-39Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Proactive condition monitoring, diagnosis and prognosis of modern complex engineering systems are becoming an increasingly challenging issue. This is mainly attributed to the dynamic global scenario and the ever increasing stakeholders conflicting interests. One of the most important missing links that is often given a low priority while assessing the health of a complex dynamic system is the key criticality of the system in question. This paper discusses some of the challenging issues facing the Asset Management personnel and highlights the importance of incorporating criticality aspect of the key performance indicator in the diagnosis and prognosis of all modern complex systems.

  • 137. Parida, Aditya
    et al.
    Åhrén, Thomas
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Integrating maintenance performance with corporate balanced scorecard2003Ingår i: Condition Monitoring and Diagnostic Engineering Management: COMADEM 2003 : proceedings of the 16th International Congress, 27-29 August 2003, Växjö, Sweden / [ed] Om P. Shrivastav; Basim Al-Najjar; Raj B.K.N. Rao, Växjö: Växjö universitet , 2003, s. 53-59Konferensbidrag (Refereegranskat)
    Abstract [en]

    The concept of balanced scorecard has created a lot of interest amongst the companies and strategists since its appearance in 1992. Companies, to get a balanced view of their business strategy performance are applying it and gradually, managers are trying to use this concept for efficient management of maintenance process. It is felt that balancing the different parameters of the scorecard alone will not be able to deliver the desired expectations of the management without integration of all strategic and performance parameters of the maintenance. Therefore, an integrated approach should also be applied to business strategy management, to overcome the non-optimisation of overall equipment effectiveness.In this paper, an integrated approach is applied linking the maintenance performance indicators with the corporate balanced scorecard.

  • 138.
    Puhan, Sanujeet
    et al.
    Cape Gemini, Göteborg.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Maintenance management systems (MMS) using balanced scorecard (BSC) approach2006Ingår i: Condition Monitoring and Diagnostic Engineering Management: COMADEM 2006 ; proceedings of the 19th international congress, Luleºa, Sweden, 12 - 15 June 2006 / [ed] Uday Kumar, Luleå: Luleå tekniska universitet, 2006, s. 409-414Konferensbidrag (Refereegranskat)
    Abstract [en]

    Balanced Scorecard (BSC) approach to translate organizational strategy in to concrete objectives at operational level has worked and benefited a number of organizations. This is achieved through focus on all the four main perspectives simultaneously resulting in a balanced action plan strategy of the organization. While considering the production schedule, the objective of supply chain and maximizing the use of assets is constrained by the plant maintenance plan. Hence, analyzing the operation data and predicting the likelihood of failure to meet the production schedule still remains a main issue for the production units. The communication of failure prediction information from operational level to the corporate management meets the customer objectives of quality, delivery and support is critical. Similarly, the top-level information on customer feedbacks and preferences need to be passed down to improve the production process including design. The authors have presented an information system that can support the topdown conversion of organizational strategy into business unit strategy and production strategy.

  • 139.
    Rantatalo, Matti
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Juntti, Ulla
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Asplund, Matthias
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Project: SUSTRAIL2012Övrigt (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    Division of Operation and Maintenance is involved in two work packages in the European 7:th framework research project Sustrail.WP4: Sustainable track and WP5: Business case.Over all SUSTRAIL project aim: SUSTRAIL aims to contribute to the rail freight system to allow it to regain position and market and the proposed solution is based on a combined improvement in both freight vehicle and track components in a holistic approach aimed at achieving a higher reliability and increased performance of the rail freight system as a whole and profitability for all the stakeholders. The SUSTRAIL integrated approach is based on innovations in rolling stock and freight vehicles (with a targeted increased in speed and axle-load) combined with innovations in the track components (for higher reliability and reduced maintenance), whose benefits to freight and passenger users (since mixed routes are considered) are quantified through the development of an appropriate business case with estimation of cost savings on a life cycle basis.WP4: Sustainable trackThis work package will facilitate the need for the railway infrastructure to accommodate more traffic whilst atthe same time reducing deterioration of track and wheels through increasing the resistance of the track to theloads imposed on it by vehicles. This will assist in sustainable achievement of increased speed and capacityfor freight traffic, thus contributing towards making rail freight more competitive. There is a very strong couplingto WP3 since it is essential to undertake a systems approach to analyse the combined track and vehicle loadsand deterioration. The outputs from the WP will also inform the decision making for WP5 that will select the most promising infrastructure technologies for testing and demonstration. The work package is divided into 5 subtasks. Task 4.1: Performance based design principles for resilient trackTask 4.2: Supportive ballast and substrateTask 4.3: Optimised track systems and geometryTask 4.4: Switches and crossingsTask 4.5: Track based monitoring and limits for imposed loadsWP5: Business CaseThis work package considers the business case and implementation issues associated with the vehicle andtrack options developed in WP3 and WP4 respectively. The work package will act as both an iterative filter for the options developed in WP3 and WP4 in order to help focus the engineering development to those options which are likely to have greatest overall net benefits, as well as providing a final business case appraisal for the preferred option. The assessment will include quantifying the Life Cycle Cost (LCC) of each option and a Reliability, Availability, Maintenance and Safety (RAMS) analysis where the parameters for this analysis are informed by the Duty Requirements established in WP2. The work package is divided into 5 subtasks. Task 5.1: LCC and RAMS analysisTask 5.2: User and environmental benefit modellingTask 5.3: Access charges for equitable redistribution of whole system savingsTask 5.4: Technical implementation and phasing issuesTask 5.5: Synthesis of Business Case

  • 140.
    Sahoo, Trinath
    et al.
    Indian Oil Corporation Ltd.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Improving overall equipment effectiveness (OEE) of process plant equipments through e-diagnostics2010Ingår i: Proceedings of the 1st international workshop and congress on eMaintenance, Luleå tekniska universitet, 2010, s. 115-120Konferensbidrag (Refereegranskat)
    Abstract [en]

    The concept of e-maintenance is wide spread in industry which integrates ICT (information and communication technology) within the maintenance strategy to face the new challenges of supporting e-manufacturing. The maintenance support which includes in the resources , services and management, are necessary to enable proactive decision making which includes etechnologies (ICT, web based ,wireless etc.) and e-maintenance activities; such as e-monitoring , e-diagnostics and e-prognostics. The monitoring of machines and processes for predictive maintenance and control is critical for sustainable and competitive industry. E-diagnostics is a key component for implementing emaintenance for the cutting edge of high capital intensive plant.

  • 141.
    Soltanali, Hamzeh
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. Ferdowsi University of Mashhad, Mashhad, Iran.
    Garmabaki, Amir Soleimani
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Thaduri, Adithya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Rohani, Abbas
    Ferdowsi University of Mashhad, Mashhad, Iran.
    Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing2019Ingår i: Journal of Risk and Reliability, ISSN 1748-006X, E-ISSN 1748-0078, Vol. 233, nr 4, s. 682-697Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Automotive manufacturing industries are required to improve their productivity with higher production rates at the lowest cost, less number of unexpected shutdowns, and reliable operation. In order to achieve the above objectives, the application of reliability, availability, and maintainability methodologies can constitute for resilient operation, identifying the bottlenecks of manufacturing process and optimization of maintenance actions. In this article, we propose a framework for reliability, availability, and maintainability evaluation and maintenance optimization to improve the performance of conveying process of vehicle body in an automotive assembly line. The results of reliability, availability, and maintainability analysis showed that the reliability and maintainability of forklift and loading equipment are the main bottlenecks. To find the optimal maintenance intervals of each unit, a multi-attribute utility theory is applied for multi-criteria decision model considering reliability, availability, and costs. Due to the series configuration of conveying process in automotive assembly line, the optimized time intervals are obtained using opportunistic maintenance strategy. The results could be useful to improve operational performance and sustainability of the production process.

  • 142.
    Soltanali, Hamzeh
    et al.
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Rohani, Abbas
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Abbaspour-Fard, Mohammad Hossein
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Farinha, José Torres
    Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), ISEC - Coimbra Institute of Engineering, Coimbra, Portugal.
    Development of a risk-based maintenance decision making approach for automotive production line2019Ingår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Automotive industries require effective and reliable maintenance strategies to ensure high levels of availability and safety. Risk-based maintenance approach is a useful tool for maintenance decision making with the aim of reducing the overall risk in operating activities. In this paper, a Failure Mode and Effect Analysis (FMEA) model as one of the risk assessment techniques is developed with subjective information derived from domain experts. To overcome the drawbacks of traditional FMEA for risk priority number (RPN) estimation, a linguistic fuzzy set theory, through effective decision attributes in complex automotive equipment is conducted. The main attributes of this approach include the effect of experts’ traits, scales variation, using various membership functions and defuzzification algorithms on reliable Fuzzy-RPN (FRPN) estimation. The result of the proposed model revealed that altering membership functions and defuzzification algorithms had no significant effect on the FRPN estimation, but their values are highly affected by the number of scales. The sensitivity analysis showed that experts’ traits have no sensible impact on experts’ opinion for FRPN estimation, while the detectability index has more impact on FRPN variation. The result of risk classification number showed that the maintenance decision making could be included for the failure modes with the highest RPN values as a priority, which it would be useful to achieve the high level of availability and safety.

  • 143.
    Soltanali, Hamzeh
    et al.
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Rohani, Abbas
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Tabasizadeh, Mohammad
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Abbaspour-Fard, Mohammad Hossein
    Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    An improved fuzzy inference system-based risk analysis approach with application to automotive production line2019Ingår i: Neural computing & applications (Print), ISSN 0941-0643, E-ISSN 1433-3058Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Reliability and safety in the process industries like automotive industry are important key success factors for upgrading availability and preventing catastrophic failures. In this context, failure mode and effect analysis (FMEA) technique is a proactive diagnostic tool for evaluating all failure modes which reduces the highest risk priority failures. However, it still suffers from subjective uncertainty and ambiguity which are important factors in risk analysis procedures. Hence, this paper provides a comprehensive survey to overcome the drawbacks of the traditional FMEA through improved FMEA, incorporating the fuzzy inference system (FIS) environment. For this purpose, the effective attributes, such as; various scales and rules, various membership functions, different defuzzification algorithms and their impacts on fuzzy RPN (FRPN) have been investigated. Moreover, three types of sensitivity analysis were performed to identify the effect and authority control of risk parameters, i.e., severity, occurrence and detection on FRPN. To demonstrate the feasibility of the proposed framework, as a practical example, the method was implemented in complex equipment in an automotive production line. The result of FIS-FMEA model revealed that the proposed framework could be useful in recognizing the failure modes with critical risk values compared to the traditional FMEA. Given the potential applications of this approach, suitable maintenance actions can be recommended to improve the reliability and safety of process industry, such as automotive production line.

  • 144.
    Soltanali, Hamzeh
    et al.
    Ferdowsi University of Mashhad, Mashhad, Iran.
    Rohani, Abbas
    Ferdowsi University of Mashhad, Mashhad, Iran.
    Tabasizadeh, Mohammad
    Ferdowsi University of Mashhad, Mashhad, Iran.
    Hossein Abbaspour-Fard, Mohammad
    Ferdowsi University of Mashhad, Mashhad, Iran.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Operational reliability evaluation-based maintenance planning for automotive production line2019Ingår i: Quality Technology & Quantitative Management, ISSN 1684-3703, E-ISSN 1811-4857Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Reliability evaluation plays a critical role in upgrading the availability and productivity of automotive manufacturing industries by adopting the well-planned maintenance. Due to the lack of operation management studies in automotive industry, this paper addresses an operational reliability evaluation through failure behavior trend in an automotive production line. The main approaches for reliability analysis in this study include statistical structure and Monte Carlo simulation model. The statistical structure consists of three steps: data acquisition and homogenization process, validity of the trend hypothesis and parameters estimation. The reliability evaluation under statistical approach identified the main bottlenecks through the recognized behavior trend of system so that needs to be considered as a priority. Besides, K–R algorithm as Monte Carlo simulation was carried out to simulate reliability regarding failure distribution function. The result of Monte Carlo simulation with different iterations provides a high prediction accuracy of reliability with the lowest error. In addition, regarding the computed reliability through the proposed approaches and total expected cost, a reliability-based maintenance optimization model was conducted. The proposed maintenance intervals could be useful for improving the operational performance of critical components in automotive system.

  • 145.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Al-Jumaili, Mustafa
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Computerised Analysis of Text Entry Fields in Maintenance Work Orders Data2014Ingår i: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Phillip Tretten, Luleå: Luleå tekniska universitet, 2014, s. 97-100Konferensbidrag (Refereegranskat)
    Abstract [en]

    Enterprise resource planning systems and computerised maintenance management systems are commonly used by organisations for handling of maintenance work orders through a graphical user interface. A work order 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 work order description complete. Accordingly, the text entry fields of work orders can contain any words, in any number, as necessary.Data quality is crucial in statistical analysis of work orders data, and therefore manual analysis of work orders’ text entry fields is often necessary before any decision making. However, this may be a very tedious and resource consuming process.In this article, we apply computerised analysis of text entry fields of work orders data, to study if it can bring further value in the assessment of technical assets’ performance.Keywords:Data quality, eMaintenance, maintenance, work orders, failure, decision support, natural language processing

  • 146.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Al-Jumaili, Mustafa
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Natural language processing of maintenance records data2015Ingår i: International Journal of COMADEM, ISSN 1363-7681, Vol. 18, nr 2, s. 33-37Artikel i tidskrift (Refereegranskat)
    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.

  • 147.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Famurewa, Stephen Mayowa
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Galar, Diego
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Impact of cold climate on failures in railway infrastructure2012Konferensbidrag (Refereegranskat)
    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.Keywords: railway, performance, temperature, winter, cold, climate, failures, infrastructure, snow, ice, maintenance, reliability, dependability

  • 148.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Juntti, Ulla
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Track Maintenance Between Trains Simulation2016Ingår i: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, s. 373-380Konferensbidrag (Refereegranskat)
    Abstract [en]

    Infrastructure managers (IMs) need to plan their maintenance work about 1½–2 years before a new train time table (TTT) comes into force to minimise the effect on traffic. Maintenance work that is planned in less than 1 year ahead of the TTT has to compete with, or need to be fitted into, operators’ applications for capacity. However, maintenance work is at times planned only a few weeks before execution, and depending on the railway line in question, a few hours during night can be available for maintenance. In addition, sudden failures in track normally require repair immediately or within a day. If rail transportation increases, it also becomes harder to find time in track for maintenance. Therefore, it is of interest to simulate maintenance tasks between trains to minimise track maintenance possession time. Such simulation can be used to: study maintenance work in TTTs with random and regular train departures; study the effect of exceeding allocated maintenance windows; and to study the effect of increase in train frequency. In this paper, Monte Carlo method is applied to simulate track maintenance between trains as a function of train frequency.

  • 149.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Norrbin, Per
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Kumar, Uday
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Preventive and corrective maintenance: cost comparison and cost–benefit analysis2016Ingår i: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 12, nr 5, s. 603-617Artikel i tidskrift (Refereegranskat)
    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.

  • 150.
    Stenström, Christer
    et al.
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Parida, Aditya
    Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.
    Link and Effect Model for Maintenance of Railway Infrastructure2013Rapport (Övrigt vetenskapligt)
    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)Keywords: Railways, train delays, Swedish Iron Ore Line, operation and maintenance, dependability, RAMS, reliability, availability, maintainability, supportability, safety

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