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 Articles will not be published until the final proofs are validated by their authors.


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.


Articles 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.


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


We also offer RSS feeds which provide timely updates of tables of contents, newly published articles and calls for papers.


International Journal of Engineering Management and Economics (1 paper 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.