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Growing Science » International Journal of Industrial Engineering Computations » Fuzzy system dynamics and optimization with application to manpower systems

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 3 Issue 5 pp. 873-886 , 2012

Fuzzy system dynamics and optimization with application to manpower systems Pages 873-886 Right click to download the paper Download PDF

Authors: M. Mutingi, C. Mbohwa

DOI: 10.5267/j.ijiec.2012.05.004

Keywords: Fuzzy set theory, Policy optimization, Human resources, Manpower systems, System dynamics

Abstract: The dynamics of human resource recruitment and training in an uncertain environment creates a challenge for many policy makers in various organisations. In the presence of fuzzy manpower demand and training capacity, many companies fear losing critical human resources when their employees leave. As such, the development of effective dynamic policies for recruitment and training in a fuzzy dynamic environment is imperative. In this frame of mind, a fuzzy systems dynamics modelling approach is proposed to enable the policy maker to develop reliable dynamic policies relating recruitment, training, and available skills, from a systems perspective. It is anticipated in this study that fuzzy system dynamics and optimization approach would help organizations to design effective manpower policies and strategies.

How to cite this paper
Mutingi, M & Mbohwa, C. (2012). Fuzzy system dynamics and optimization with application to manpower systems.International Journal of Industrial Engineering Computations , 3(5), 873-886.

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Journal: International Journal of Industrial Engineering Computations | Year: 2012 | Volume: 3 | Issue: 5 | Views: 2668 | Reviews: 0

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