Strategic Workforce Planning Under Uncertainty

Author:

Jaillet Patrick1ORCID,Loke Gar Goei2ORCID,Sim Melvyn3ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139

2. Rotterdam School of Management, Erasmus University, 3062PA Rotterdam, Netherlands

3. NUS Business School, National University of Singapore, Singapore 119245, Singapore

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).

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

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