Forthcoming articles


International Journal of Engineering Management and Economics


These articles have been peer-reviewed and accepted for publication in IJEME, 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 Articles will not be published until the final proofs are validated by their authors.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 Engineering Management and Economics (2 papers in press)


Regular Issues


  • A comparative analysis of quantitative-based methods used for lean index assessment   Order a copy of this article
    by Omogbai Oleghe, Konstantinos Salonitis 
    Abstract: The lean index is a holistic measure of lean performance. Its assessment has been approached using qualitative and quantitative-based methods. While the qualitative based methods are of the self-assessment type, there is no such congruence with quantitative-based ones. This inconsistency can lead to confusion as to which quantitative-based methods should be adopted for specific situations. We attempt to address this issue by applying and comparing some quantitative-based methods within a manufacturing system case. Four methods based on Analytical Hierarchy Process, Data Envelopment Analysis, Factor Analysis and Fuzzy Logic, were set apart after a literature review, and applied to the production performance data set of the case. The methods returned different lean index results thereby providing varied information about system lean performance. Sensitivity tests revealed the Data Envelopment Analysis method to be the most robust. The results present a case for the advancement of the use of the Data Envelopment Analysis approach in mixed method (quantitative and qualitative) lean assessment.
    Keywords: Lean index; lean assessment; lean performance; quantitative methods; manufacturing system.

  • Maintenance and reinvestment policies: framework and principles   Order a copy of this article
    by Hans Löfsten 
    Abstract: There is a lack of models that could improve the understanding of the underlying dimensions of maintenance. Many models are also large and complicated, and thus limiting the interaction between the analysis and the decision maker. Although a scheduled maintenance and reinvestment policy may reduce the number of failures, the cost of the scheduled maintenance may not reduce state costs. This paper develops a general framework and principles for maintenance and reinvestment decisions. The model in this study integrates four important dimensions (i) state of the facility (ii) maintenance (iii) reinvestment and (iv) salvage value. The financial dimension is also included in the model (a fixed budget per period). The structure of the model is to support the operative management of maintenance and reinvestment in the long run, i. e. timing of maintenance and reinvestment tasks. Four different maintenance and reinvestment policies are also developed.
    Keywords: preventive maintenance; corrective maintenance; reinvestment; state cost; policy; budget constraint.