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Open AccessJournal Article

Markov Chain Models in Discrete Time Space and Application to Personnel Management

C. E. Okorie
- 25 Oct 2015 - 
- Vol. 1, Iss: 9, pp 351-358
TLDR
A Markov chain probability model is found to fit personnel data of recruitment and promotion pattern in El-Amin International School, Minna and a mixed push-pull model is developed for this study.
Abstract
A Markov chain probability model is found to fit personnel data of recruitment and promotion pattern in El-Amin International School, Minna. Manpower planning is a useful tool for human resource management in large organizations. Classical Manpower Planning models are analytical time –discrete push and pull models. A mixed push-pull model is developed for in this study.

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References
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Journal ArticleDOI

Modelling recruitment training in mathematical human resource planning

TL;DR: In this article, a k-classed hierarchical system where the workforce demand at each time period is satisfied through internal mobility and recruitment is considered, and cost objectives are employed using the goal-programming approach, under different operating assumptions, in order to minimize the operational cost in the presence of system's constraints and regulations.
Journal ArticleDOI

Manpower planning models and their estimation

TL;DR: This work focuses on the use of a Markov-chain formulation which implements the mathematically intracrable semi-Markov approach by means of a non-parametric estimation procedure.
Journal ArticleDOI

Holonic modelling: human resource planning and the two faces of Janus

TL;DR: An approach which harnesses modern spreadsheet technology to implement the previously esoteric tools of analysis ‐ “holonic modelling” is provided, which recognizes that computer power and the flexibility of software packages allow problems to be structured in a flexible manner.
Journal ArticleDOI

A bivariate model for Markov manpower planning systems

TL;DR: In this article, the transition probabilities for promotion obtained from the Markov model are further translated into required seniority and performance rating in a bivariate distribution framework, and the procedure is illustrated through an example.
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