Forthcoming articles

International Journal of Strategic Engineering Asset Management

International Journal of Strategic Engineering Asset Management (IJSEAM)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Register for our alerting service, which notifies you by email when new issues are published online.

Open AccessArticles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Strategic Engineering Asset Management (2 papers in press)

Regular Issues

  • A maturity model for valuable maintenance data management   Order a copy of this article
    by Salla Marttonen-Arola, David Baglee 
    Abstract: The increasing data provide new opportunities for data-based maintenance management. However, decision makers are struggling to optimally harvest value from their data. This paper presents a maturity model to support analysing maintenance data management processes from the value perspective. Maturity models related to data management and business intelligence have been presented before, but they have not addressed the specific features of maintenance, and have not analysed what makes data valuable. The model presented in this paper categorizes value of data into six dimensions, and defines five maturity levels to assess them. A real-life industrial case example is presented to demonstrate the use of the model. The model takes into account that the most advanced data management solutions do not always represent the optimal target level for every situation. For instance many small and medium enterprises would struggle creating enough additional value from big data to make the required investment profitable.
    Keywords: maturity model; maintenance; value; data; information; strategy; decision support; case study.

  • Asset life cycle management for Smart Grids: Challenges and implications   Order a copy of this article
    by Helena Kortelainen, Jyri Hanski 
    Abstract: Electricity transmission and distribution companies implement advanced information and communication technologies to facilitate reliability and efficiency and to integrate renewable energy, electric vehicles and a range of devices to their networks. This Smart Grid initiative is driven by the need for more energy, increased usage of renewable energy, sustainability, competitive energy prices, security of supply and ageing infrastructure and workforce. However, Smart Grid introduces challenges for asset life cycle management. This study focuses on these challenges for the main transmission and distribution actors, and how asset life cycle management can meet them. The study utilises case study research strategy. The research data consists of a literature review, survey and expert interviews. The main challenges for asset life cycle management of Smart Grid include presenting the business case for and implementation of novel technology and information management-related issues.
    Keywords: asset management; life cycle; smart grid; electricity transmission and distribution network; case study.