Forthcoming and Online First Articles

International Journal of Strategic Engineering Asset Management

International Journal of Strategic Engineering Asset Management (IJSEAM)

Forthcoming 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 Articles will not be published until the final proofs are validated by their authors.

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International Journal of Strategic Engineering Asset Management (3 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.

  • Human Performance as an Asset Value Creator: An Automated Service Impact Model   Order a copy of this article
    by Katja Gutsche, Jennifer Griffith 
    Abstract: Industrial services as e.g. maintenance are essential for producing industries while also confronted with the technological options digitalization provides. Automation within service operations are steadily increasing, which will have an effect on the sociotechnical systems of service technicians (e.g., asset and service tools) and on the overall asset value. Following the path of service digitalization requires service managers to design an organizational change process that matches technicians needs to best ensure their performance and productivity. This paper outlines the general theory and empirical research findings from the areas of human automation, job performance, and service operations to propose a framework for successfully designing automated service operations that result in optimal human impact on the asset value.
    Keywords: asset value; service operation; service productivity; human-machine interaction; human performance; service automation; maintenance; smart services.