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Manpower planning using Markov Chain model

Ab Saad, Syafawati and Adnan, Farah Adibah and Ibrahim, Haslinda and Rahim, Rahela (2014) Manpower planning using Markov Chain model. In: 21st National Symposium on Mathematical Sciences (SMSK21), 6–8 November 2013, Penang, Malaysia.

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Manpower planning is a planning model which understands the flow of manpower based on the policies changes.For such purpose, numerous attempts have been made by researchers to develop a model to investigate the track of movements of lecturers for various universities.As huge number of lecturers in a university, it is difficult to track the movement of lecturers and also there is no quantitative way used in tracking the movement of lecturers.This research is aimed to determine the appropriate manpower model to understand the flow of lecturers in a university in Malaysia by determine the probability and mean time of lecturers remain in the same status rank.In addition, this research also intended to estimate the number of lecturers in different status rank (lecturer, senior lecturer and associate professor).From the previous studies, there are several methods applied in manpower planning model and appropriate method used in this research is Markov Chain model.Results obtained from this study indicate that the appropriate manpower planning model used is validated by compare to the actual data.The smaller margin of error gives a better result which means that the projection is closer to actual data.These results would give some suggestions for the university to plan the hiring lecturers and budgetary for university in future.

Item Type: Conference or Workshop Item (Paper)
Additional Information: AIP Conference Proceedings ISSN: 0094-243X
Uncontrolled Keywords: Manpower planning, Markov Chain Model, Estimation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Quantitative Sciences
Depositing User: Prof. Madya Dr. Haslinda Ibrahim
Date Deposited: 23 Oct 2014 04:52
Last Modified: 27 Apr 2016 00:34
URI: http://repo.uum.edu.my/id/eprint/12393

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