Strategic Workforce Planning Under Uncertainty
Name
jls-or21.pdf
Description
Accepted version
Size
992.45 KB
Format
Adobe PDF
Checksum (MD5)
99a66f18b49425bd0fa8a9fdaaef340a
Author(s)
Jaillet, Patrick
Loke, Gar Goei
Sim, Melvyn
Date Issued
2022
Journal
Operations Research
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Citation
Jaillet, Patrick, Loke, Gar Goei and Sim, Melvyn. 2022. "Strategic Workforce Planning Under Uncertainty." Operations Research, 70 (2).
Version
Author's final manuscript
Abstract
A new study in the INFORMS journal Operations Research proposes a data-driven model for conducting strategic workforce planning in organizations. The model optimizes for recruitment and promotions by balancing the risks of not meeting headcount, budget, and productivity constraints, while keeping within a prescribed organizational structure. Analysis using the model indicates that there are increased workforce risks faced by organizations that are not in a state of growth or organizations that face limitations to organizational renewal (such as bureaucracies).
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Operations Research Center
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1287/OPRE.2021.2183
