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A study on Efficient Modelling in Higher Education Academic Workforce Using Simulation

Author

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  • Nethal K. Jajo
  • Shelton Peiris

Abstract

This paper shows how the Operations Research (OR) tools (in modelling and simulation) can be modified, applied in planning and their understanding of any long-term impacts due to sudden policy changes. The proposed approach is particularly useful to investigate the movements of the university academics and their impacts on changes in research, research funding, teaching and services as they are the integral parts of the career at any level. We argue that the Discrete Event Simulation (DES) approach can be used to model such dynamics in Higher Education Academic Workforce Model (HEAWM) and show that it can provide a comprehensive projection of future requirements within the context of career progression. Consequently, this HEAWM allows universities to interrogate factors influencing the academic workforce planning as this process often requires the new attributes to be tracked in the model which is difficult with other OR models. It is shown that this approach is easy to apply via DES and creation of the corresponding HEAWM provides better understanding of the factors that will influence the future workforce than the existing results.

Suggested Citation

  • Nethal K. Jajo & Shelton Peiris, 2021. "A study on Efficient Modelling in Higher Education Academic Workforce Using Simulation," European Journal of Mathematics and Statistics, European Open Science, vol. 2(6), pages 7-14, November.
    • Handle: RePEc:epw:ejmath:v:2:y:2021:i:6:id:14063
    DOI: 10.24018/ejmath.2021.2.6.63
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    References listed on IDEAS

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    1. Kirandeep Chahal & Tillal Eldabi, 2010. "A multi-perspective comparison for selection between system dynamics and discrete event simulation," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 6(1), pages 4-17.
    2. M M Günal & M Pidd, 2010. "Discrete event simulation for performance modelling in health care: a review of the literature," Journal of Simulation, Taylor & Francis Journals, vol. 4(1), pages 42-51, March.
    3. Tako, Antuela A. & Robinson, Stewart, 2010. "Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 784-794, December.
    4. Masoumeh Aref & Masoumeh Sabah, 2015. "Manpower Planning for Demand Forecasting of Faculty Members using Trend Analysis and Regression," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(2), pages 11-23, February.
    5. A A Tako & S Robinson, 2009. "Comparing discrete-event simulation and system dynamics: users' perceptions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 296-312, March.
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