Title: Evaluating recruitment strategies using fuzzy set theory in stochastic Manpower Planning
Other Titles: Recruitment policy in stochastic Manpower Planning
Authors: De Feyter, Tim
Guerry, Marie-Anne
Editors: Ladde, G.S
Lakshmikantham, V
Issue Date: 2009
Publisher: M. Dekker
Series Title: Stochastic Analysis and Applications vol:27 issue:6 pages:1148-1162
Host Document: Stochastic Analysis and Applications
Abstract: One aspect of Manpower Planning is the investigation of wastage and internal transitions for homogeneous groups of employees in a Manpower system. In the relevant literature, the attainability of a desired stock vector was studied under control by recruitment for time-discrete Markov models. These approaches allow choosing a proper recruitment strategy, resulting in an attainable vector most similar to a desired one. In this paper, this problem will be discussed under stochastic assumptions for attainability after one step. Based on fuzzy set theory, a procedure is introduced that allows evaluating and comparing recruitment strategies, resulting in the determination of a most preferable strategy.
ISSN: 0736-2994
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Centre for Organisation Studies, Leuven
Research Centre for Work and Organisation Studies (WOS Bxl), Campus Brussels
Faculty of Economics and Business (FEB) - miscellaneous

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