Optimal Recruitment Policy for Manpower Planning Using Equilibrium Distribution

Author & Affiliation:
R. MURUGAN
Department of Economics and Statistics, Chennai-600 006 (India)
R. ELANGOVAN
Department of Statistics, Annamalai University, Annamalainagar-608 002 (India)
Keyword:
Manpower Planning, Reliability, Survival Analysis, Inventory, 90B70, 90B25, 62N86, 90B05
Issue Date:
March 2018
Abstract:

In manpower planning, one of the most important variables is duration until a specified event occurs. This is frequently the completed Length of service until leaving a job, which enables us to predict staff turnover. In manpower planning it is commonly the case that employees withdraw from active service for a period of time before returning to take up post at a later date. Such periods of absence are frequently of major concern to employers who are anxious that employees return as soon as possible. A model is derived in which the demand for manpower is assumed to be a random variable. Since the demand for manpower is not deterministic, it undergoes fluctuations. It may be noted that the demand distribution satisfies the so called Lack of Memory Property (LMP). Recently, there has been much attention given to higher order equilibrium distributions associated with a given distribution function. In this paper, a optimal recruitment policy has been discussed using Setting Clock Back to Zero(SCBZ) property using Equilibrium distribution. Numerical examples are also highlighted.

Pages:
172-182
ISSN:
2319-8044 (Online) - 2231-346X (Print)
Source:
DOI:
http://dx.doi.org/10.22147/jusps-A/300302
Share This:
Facebook Twitter Google Plus LinkedIn Reddit

Copy the following to cite this article:

R. Murugan; R. Elangovan, "Optimal Recruitment Policy for Manpower Planning Using Equilibrium Distribution", Journal of Ultra Scientist of Physical Sciences, Volume 30, Issue 3, Page Number 172-182, 2018

Copy the following to cite this URL:

R. Murugan; R. Elangovan, "Optimal Recruitment Policy for Manpower Planning Using Equilibrium Distribution", Journal of Ultra Scientist of Physical Sciences, Volume 30, Issue 3, Page Number 172-182, 2018

Available from: https://www.ultrascientist.org/paper/1458/

Ansari Education And Research Society
Facebook Google Plus Twitter