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A Project Management Methodology for the Digitalisation of the Industrial Maintenance Domain
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-7048-8089
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.ORCID iD: 0000-0002-2637-6175
Mälardalen University, Sweden.
2020 (English)In: Advances in Asset Management and Condition Monitoring: COMADEM 2019 / [ed] Ball A., Gelman L., Rao B., Springer, 2020, p. 621-629Chapter in book (Refereed)
Abstract [en]

Efficient management of Information and Communication Technology (ICT) projects is a crucial factor since on many occasions they fail to meet the expected demands and requirements of the different stakeholders. It is well known that poor project management, like inadequate risk management and inadequate project planning, is one of the main reasons for ICT project failure. In addition, with the emergence of the new ICTs such as the Internet of Things, cloud computing, and big data the digitalisation of the maintenance domain has become even more complex. It is, therefore, essential to revisit standard processes when carrying out software development projects for the domain of interest. A broad selection of software development methodologies exists today. However, these are general-purpose development approaches, and it is, therefore, crucial to have an understanding of the best options and best practices of the existent methodologies for context-specific development projects. Thus, the authors present a literature review of ICT project methodologies and later discuss these findings taking into consideration the characteristics of the domain of interest. Based on this, an ICT project management methodology suitable for the Industrial maintenance domain is suggested.

Place, publisher, year, edition, pages
Springer, 2020. p. 621-629
Series
Smart Innovation, Systems and Technologies, ISSN 2190-3018, E-ISSN 2190-3026 ; 166
Keywords [en]
ICT project management, Industrial maintenance, Digitalisation
National Category
Reliability and Maintenance
Research subject
Computer and Information Sciences Computer Science, Information Systems; Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-97826DOI: 10.1007/978-3-030-57745-2_52Scopus ID: 2-s2.0-85091289094ISBN: 978-3-030-57744-5 (print)ISBN: 978-3-030-57745-2 (electronic)OAI: oai:DiVA.org:lnu-97826DiVA, id: diva2:1462584
Available from: 2020-08-31 Created: 2020-08-31 Last updated: 2021-05-07Bibliographically approved

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Campos, JaimeKans, Mirka

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CiteExportLink to record
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