Current and prospective information and communication technologies for the e-maintenance applications

Abstract

Purpose -The purpose of this paper is to presents the current and prospective state of affairs when it comes to the information and communication technologies (ICTs) in condition monitoring (CM) and maintenance, especially for the e-maintenance approach. Design/methodology/approach -The author presents some of the standards for the domain of interest, such as the open system architecture condition-based maintenance. In addition, the e-maintenance approach is gone through as well as such ICTs as, for instance, the emergent web technologies, the service-oriented architecture (SOA), the web services and the Web 2.0 are analysed. Findings -The findings highlight the need for a clearer understanding of the characteristics of different ICTs, such as Web 2.0 technologies, Cloud computing, agent technologies, etc., to be able to use them in an optimal manner for various purposes in the e-maintenance applications. In addition, the standardisation of the emergent ICTs different aspects is shown to be an important factor for the development of different phases of software as well as for its overall acceptance. Research limitations/implications -The given work presents the current and emergent ICTs for the domain of interest and provides the discussion and various issues connected to these ICTs. Practical implications -The author provides practical implications of the different ICTs mentioned in the paper, i.e. benefits and possibilities as well as risks when those technologies are implemented for CM and maintenance, especially for the e-maintenance. Originality/value -The paper provides insight into various current and prospective ICTs for the domain of interest that provides important knowledge for different employees with the objective of a purchase, users of the system, such as technicians, maintenance engineers as well as developers of these systems. Consequently, the paper provides knowledge of different characteristics of the current and prospective technologies, which is important to take into account in order to be able not only to use them in an optimal manner, but also to understand possible constraints if they are used in the system and in applications in the domain.

Advantages and potential challenges of data management in e-maintenance

“…The scientific implications of this study include providing new contribution to E-Maintenance and the different perspectives covered by the previous literature (Aboelmaged 2015, Iung et al, 2009, Muller et al, 2008, Levrat et al, 2008, Bangemann et al, 2006 by highlighting the deficiencies of the discussion surrounding the perspectives of data management in E-Maintenance. On the contrary of (Aboelmaged 2015, Campos 2014 who have studied E-Maintenance from technological, economical or managerial views, this study identifies the most common data management challenges in E-Maintenance systems. Unlike (Campos et.…”

“…Articles which study e-maintenance from data and information management perspective (e.g. Aljumaili et al , 2015; Kour et al , 2014; Campos, 2014; Tretten and Karim, 2014; Karim et al , 2009). Regardless of the variety of previous discussion, particularly the discussion on data and information management in the e-maintenance context has been lacking.…”

A Novel Framework for Simulation-based Optimisation of Maintenance Systems

“…To extend the set of relevant publications, reference lists in resulting papers were searched for related papers. In total, ten publications were identified [1,10,[15][16][17][18][19][20][21][22].…”

An Industry 4.0-Enabled Low Cost Predictive Maintenance Approach for SMEs

“…Considering the advances and convergence of Information and Operational Technologies (ITs/OTs) at the Industrial Internet of Things (IIoT), traditional maintenance activities are changing through a transformative paradigmatic shift, having its roots in the e-maintenance concept [9] and now further evolving into smart maintenance. Therefore, in the most recent years, this evolution has been driven by the cognitive computing progress in which predictive maintenance strategies are now fostered by Artificial Intelligent (AI) systems that provide real-time condition monitoring and prognostic capabilities [10]. As a consequence, (smart) industries desire to improve their equipment availability while decreasing downtimes and increasing productivity through e-maintenance / smart maintenance strategies, highly grown with the new era of Industry 4.0.…”