e-Maintenance: a means to high overall efficiency

Jantunen, Erkki; Gilabert, Eduardo; Emmanoulidis, Christos; Adgar, Adam

doi:10.1007/978-0-85729-320-6_80

Cited by 11 publications

(12 citation statements)

References 6 publications

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“…Mitchell [5] argues that measurement figures are needed to estimate the scope for competition, prioritize resources and determine the progress and effectiveness of improvement initiatives. Arts et al [6] see performance measurements (PM) as ways to control maintenance to reduce costs, increase productivity, ensure process safety and meet environmental standards. PM provides a base for improvement, since without measurement there can be no certainty of improvement (Parida et al, 2003).…”

Section: The Measurement: Sensors and Placementsmentioning

confidence: 99%

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

Kumar

Galar

Parida

et al. 2013

J of Qual in Maintenance Eng

180

164

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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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Section: The Measurement: Sensors and Placementsmentioning

confidence: 99%

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

Kumar

Galar

Parida

et al. 2013

J of Qual in Maintenance Eng

180

164

View full text Add to dashboard Cite

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“…A significant number of complex factors must be taken into account in modern maintenance and fuel a demand for advanced ICT solutions [10]. The potential impact of an e-Maintenance framework on the implementation of a Condition Based Monitoring strategy is significant [11]. Mobile and collaborative technologies are enabling information and services to become available to the shop floor technical personnel, anywhere and anytime [12].…”

Section: Industrial Trainingmentioning

confidence: 99%

Context Aware E-Support in E-Maintenance

Papathanasiou

Emmanouilidis

Pistofidis

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. Mobile learning is a powerful addition to the toolset offered by eLearning solutions. It can extend current e-Learning benefits to provide support and training everywhere, anytime and to anyone registered to have access and with affordable costs. Mobile devices with substantial computational, networking and storage capabilities are ubiquitous today. However, attempts to employ them in training are mostly addressing educational needs of end users with existing competencies in computing, such as students. We propose the development of a specially built mobile learning solution with the aim to provide e-Support to technicians within an e-Maintenance framework. This system will be backed and collaborate with a Learning Management System platform in order to provide on the spot aid and adequate supporting content to maintenance personnel.

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“…The technological developments included smart tags, sensors, signal analysis, smart decision support, portable computing devices, maintenance web services, common database schemas, diagnosis, prognosis, as well as financial cost-efficiency assessment. It has been argued that such technological advancements are likely to provide a boost to modern industries in their pursuit of upgrading their overall efficiency in managing their assets [3,4]. This paper tries to take this issue a little further and thus in the following paragraphs the future development of some of the key areas of eMaintenance are discussed and such aspects as identification technologies, wireless sensors, mobile devices, Internet, distributed computing, use of Internet and data, and diagnosis and prognosis technologies.…”

Section: Introductionmentioning

confidence: 99%

Optimizing E-Maintenance Through Intelligent Data Processing Systems

Gilabert

Jantunen

Emmanouilidis

et al. 2013

Lecture Notes in Mechanical Engineering

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The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organizations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adoption prospects and current hurdles preventing the wider penetration of eMaintenance in industry.

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e-Maintenance: a means to high overall efficiency

Cited by 11 publications

References 6 publications

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

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

Context Aware E-Support in E-Maintenance

Optimizing E-Maintenance Through Intelligent Data Processing Systems

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