Forthcoming Articles

International Journal of Advanced Operations Management

International Journal of Advanced Operations Management (IJAOM)

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 Articles will not be published until the final proofs are validated by their authors.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 Advanced Operations Management (2 papers in press)

Regular Issues

  • Kumaraswamy Distribution - Application in Maintenance Engineering   Order a copy of this article
    by Milind Sakhardande, V. Mariappan, Saurabh Raikar, S.V. Navti, P.K. Srividya, Mahesh Dhavalikar 
    Abstract: The Kumaraswamy double bounded distribution is a family of continuous probability distributions defined on the interval [0,1] differing in the values of their two non-negative shape parameters, a and b. It is similar to the Beta distribution, but much simpler to use especially in simulation studies due to the simple closed form of both its probability density function and cumulative distribution function. Because of its typical mathematical structure, it gives a closed form solution for all reliability measures. All reliability measures are derived and presented in this paper. The nature of the reliability measures is investigated, and the analysis is presented. Typically, when the parameter a assumes value less than one the hazard rate behaves as bathtub shaped hazard model using which warranty and maintenance polices can be derived. To this effect a real-life case study was investigated and presented with proper investigation and analysis.
    Keywords: Kumaraswamy distribution; beta distribution; bathtub shaped hazard model; beta function; gamma function; reliability measures.
    DOI: 10.1504/IJAOM.2026.10074355
     
  • Principal Component Analysis of the Impacts of Innovative Technologies on Public Transportation in the SADC Region of Africa   Order a copy of this article
    by Kudzai Mbowa, Matthew Ikuabe, Clinton Aigbavboa, Opeoluwa Akinradewo 
    Abstract: Public transportation is a primary means of transportation for many people, and it plays a crucial role in the development of every economy. However, public transportation has proven to be a nightmare in recent years in Southern Africa. The deployment of digital technologies has proven to be a breakthrough to challenges affecting mobility and connectivity by public transportation. The study is set out to assess how the digital transformation of public transportation in the Southern African Development Community (SADC). Data used in this study were derived from both secondary and primary sources. Secondary data was collected through a detailed review of related literature. The retrieved data was analysed using a non-parametric test and exploratory factor analysis. To ensure the reliability of the survey, Cronbach's Alpha coefficient was conducted. The findings showed that, if holistically adopted and implemented, innovative technologies will enhance operational efficiency and improve public transport service quality.
    Keywords: Efficiency; Exploratory Factor Analysis; Fourth Industrial Revolution; Public transportation; Southern Africa.
    DOI: 10.1504/IJAOM.2026.10074635