Estimating Workforce Attrition Rate Parameters: A Controlled Comparison

Robert Bryce; Jillian Henderson

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Paper

Estimating Workforce Attrition Rate Parameters: A Controlled Comparison

Topics: OR in National Defense/International Security; Simulation

In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1, 82-93, 2023 , Lisbon, Portugal

Authors: Robert Bryce and Jillian Henderson

Affiliation: Defence Research and Development Canada (DRDC)-Centre for Operational Research and Analysis (CORA), Department of National Defence (DND), 60 Moodie Drive, Ottawa, Canada

Keyword(s): Attrition, Workforce Analytics, Memoryless, Survival Time, Stochastic Process, Estimator.

Abstract: Here we consider workforce attrition rate parameter estimators (three continuous, three discrete), demonstrating that they originate in the Ordinary Differential Equation (ODE) describing a memoryless survival time population. This demonstration reveals how to craft estimators and reason about them. Setting up controlled numerical experiments we test this family of estimators to determine their relative performance, both in steady state and under dynamic change of population level. Additionally, we find the analytic expressions for the residual error of the estimators which provides insight into their bias properties. Our results suggest that, out of common simple estimators, the two-point average population and half-intake estimators are robust choices.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Bryce, R. and Henderson, J. (2023). Estimating Workforce Attrition Rate Parameters: A Controlled Comparison. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-627-9; ISSN 2184-4372, SciTePress, pages 82-93. DOI: 10.5220/0011748600003396

@conference{icores23,
author={Robert Bryce. and Jillian Henderson.},
title={Estimating Workforce Attrition Rate Parameters: A Controlled Comparison},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2023},
pages={82-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011748600003396},
isbn={978-989-758-627-9},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Estimating Workforce Attrition Rate Parameters: A Controlled Comparison
SN - 978-989-758-627-9
IS - 2184-4372
AU - Bryce, R.
AU - Henderson, J.
PY - 2023
SP - 82
EP - 93
DO - 10.5220/0011748600003396
PB - SciTePress