<?xml version="1.0"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Ansari Education and Research Society</publisher>
    <journalTitle>Journal of Ultra Scientist of Physical Sciences</journalTitle>
    <issn/>
    <eissn/>
    <publicationDate>August 2009</publicationDate>
    <volume>21</volume>
    <issue>2</issue>
    <startPage>433</startPage>
    <endPage>438</endPage>
    <doi>jusps-A</doi>
    <publisherRecordId>1205</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A stochastic model for estimation of expected time to recruitment under correlated wastage</title>
    <authors>
      <author>
        <name>A. Muthaiyan</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>R. Sathiyamoorthi</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Head of the Department of Mathematics, Roever Engineering College, Perambalur -621 212 (INDIA)</affiliationName>
      <affiliationName affiliationId="2">Professor, &amp; Head (Retd.) Department of Statics, Annmalai University, Annamalainagar - 608 002 (INDIA)</affiliationName>
    </affiliationsList>
    <abstract language="eng">&lt;p style="text-align: justify;"&gt;In Business and Industrial organization the leaving of personnel is a common phenomenon. This is called wastage. The estimate of the size of wastage and the likely important aspect of study in manpower planning models. The wastage on successive occasions of policy decision regarding, promotion pay, perquisites and targets, are allowed to cumulate since recruitment can not be done after every decision epoch. In this paper an estimate of the expected time to recruitment, is discussed, taking the time to recruitment as a random, variable. Its variance is also obtained and Numerical illustration provided.&lt;/p&gt;&#xD;
</abstract>
    <fullTextUrl format="html">https://www.ultrascientist.org/paper/1205/</fullTextUrl>
    <keywords>
      <keyword language="eng">estimation of expected</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">recruitment </keyword>
    </keywords>
    <keywords>
      <keyword language="eng">wastage</keyword>
    </keywords>
  </record>
</records>
