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Dive into the research topics where Erikki Jantunen is active.

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Featured researches published by Erikki Jantunen.


Archive | 2014

Optimizing E-Maintenance Through Intelligent Data Processing Systems

Eduardo Gilabert; Erikki Jantunen; Christos Emmanouilidis; Andrew Starr; Aitor Arnaiz

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.


Management Systems in Production Engineering | 2017

Business Performance Measurements in Asset Management with the Support of Big Data Technologies

Jaime Campos; Pankaj Sharma; Erikki Jantunen; David Baglee; Luca Fumagalli

Abstract The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.


Societal Studies | 2016

MOBILE INFORMATION SYSTEMS IN MAINTENANCE ENGINEERING AND ASSET MANAGEMENT

Jaime Campos; Erikki Jantunen; David Baglee; Luca Fumagalli; Christos Emmanouilidis; Eduardo Gilabert

The objective of this paper is to provide a profound insight into important characteristics with regard to the integration of mobile technology into the area of industrial maintenance. The aspects highlighted in the paper uncover, for instance, acceptance models and best practices, as well as the financial impact of mobile technologies in the domain of interest. Moreover, the paper pinpoints some important characteristics that impede full integration of these technologies into this area. In addition, the economic benefits and the current situation with regard to mobile integration are highlighted. In addition, relevant literature and theories are analysed and discussed. Furthermore, the industrial integration of mobile technologies is outlined. The results indicate that there is a tendency to place an emphasis on the technical aspects of mobile devices rather than on understanding the organisational context, which affects the integration of mobile technologies into this domain. The work provides a thorough understanding of best practices and aspects to consider for the successful integration of mobile technologies in this area. This is because the use of mobile devices enables maintenance staff to gain access to information and services pertaining to the task in hand in real time, as long as some form of network access is provided. Users of these devices thus become mobile actors who dynamically interact with the physical environment in the workplace and support information systems, leading to a faster response to events and improved organizational performance.


Procedia CIRP | 2014

Can Equipment Failure Modes Support the Use of a Condition Based Maintenance Strategy

David Baglee; Erikki Jantunen


Procedia CIRP | 2016

The Challenges of Cybersecurity Frameworks to Protect Data Required for the Development of Advanced Maintenance

Jaime Campos; Pankaj Sharma; Erikki Jantunen; David Baglee; Luca Fumagalli


Archive | 2017

Optimising condition monitoring using Big Data Systems

David Baglee; Unai Gorostegu; Erikki Jantunen; Jaime Campos; Pankaj Sharma


Archive | 2017

How can SMEs adopt a new method to advanced maintenance strategies? A Case study approach

David Baglee; Unai Gorostegui; Erikki Jantunen; Pankaj Sharma; Jaime Campos


Archive | 2017

Optimizing Condition Monitoring of Big Data Systems

David Baglee; Unai Gorostegu; Erikki Jantunen; Jaime Campos; Pankaj Sharma


Archive | 2016

Maintenance: The world of complex data and huge potential

Pankaj Sharma; Jaime Campos; David Baglee; Erikki Jantunen


Archive | 2016

Big Data and cloud computing revolutionize asset management

Jaime Campos; Pankaj Sharma; Erikki Jantunen; David Baglee; Eduardo Gilabert

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David Baglee

University of Sunderland

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Pankaj Sharma

Indian Institute of Technology Delhi

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Aitor Arnaiz

California State University

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