In this paper, we treat the following problem: Given a stable Gani-type personflow model and assuming no negative recruitment, what recruitment distribution at the n-step is capable of generating a staff-mix that closely follows the desired structure? We relate this problem to the challenge of universities in Nigeria towards attaining the desired academic staff-mix by rank specified by the National Universities Commission (NUC). | Yugoslav Journal of Operations Research 25 (2015), Number 3, 445-456 DOI: A PROCEDURE FOR DISTRIBUTING RECRUITS IN MANPOWER SYSTEMS Virtue U. EKHOSUEHI Department of Mathematics, University of Benin, . 1154, Benin City, Nigeria Augustine A. OSAGIEDE Department of Mathematics, University of Benin, . 1154, Benin City, Nigeria Wilfred A. IGUODALA Academic Planning Division, University of Benin, . 1154, Benin City, Nigeria Received: December 2013 / Accepted: September 2014 Abstract: In this paper, we treat the following problem: Given a stable Gani-type personflow model and assuming no negative recruitment, what recruitment distribution at the n step is capable of generating a staff-mix that closely follows the desired structure? We relate this problem to the challenge of universities in Nigeria towards attaining the desired academic staff-mix by rank specified by the National Universities Commission (NUC). We formulate a population-dynamic model consisting of aggregate-fractional flow balance equations within a discrete-time Markov chain framework for the system. We use MATLAB as a convenient platform to solve the system of equations. The utility of the model is illustrated by means of academic staff flows in a university-faculty setting in Nigeria. Keywords: Gani-type Person-flow Model; Manpower System; Markov Chain; National Universities Commission; Recruitment Distribution. MSC: 60J20, 91D35. 446 , , A Procedure for Distributing 1. INTRODUCTION The setting we consider is a manpower system stratified into various categories (states), where negative recruitment is not allowed and a desired staff-mix (structure) is to be attained via a recruitment policy implemented at the n step. We formulate a population-dynamic model consisting of aggregate-fractional flow balance equations within a .
