Toward an integrated workforce planning framework using structured equations

Marie Doumic (), Benoît Perthame (), Edouard Ribes, Delphine Salort and Nathan Toubiana
Additional contact information
Marie Doumic: MAMBA - Modelling and Analysis for Medical and Biological Applications - LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique - Centre Inria de Paris - Inria - Institut National de Recherche en Informatique et en Automatique, LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique
Benoît Perthame: MAMBA - Modelling and Analysis for Medical and Biological Applications - LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique - Centre Inria de Paris - Inria - Institut National de Recherche en Informatique et en Automatique, LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique
Edouard Ribes: IRSEM - Institut de recherche stratégique de l'Ecole militaire - Ministère des armées
Delphine Salort: UPMC - Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie - UPMC - Université Pierre et Marie Curie - Paris 6
Nathan Toubiana: LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: Strategic Workforce Planning is a company process providing best in class, economically sound, workforce management policies and goals. Despite the abundance of literature on the subject, this is a notorious challenge in terms of implementation. Reasons span from the youth of the field itself to broader data integration concerns that arise from gathering information from financial, human resource and business excellence systems. This paper aims at setting the first stones to a simple yet robust quantitative framework for Strategic Workforce Planning exercises. First a method based on structured equations is detailed. It is then used to answer two main workforce related questions: how to optimally hire to keep labor costs flat? How to build an experience constrained workforce at a minimal cost?

Keywords: Human resource planning; Long time asymptotics; Strategic planning; Structured population dynamics (search for similar items in EconPapers)
Date: 2017-04-08
Note: View the original document on HAL open archive server: https://inria.hal.science/hal-01343368v2
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published in European Journal of Operational Research, 2017, 262, ⟨10.1016/j.ejor.2017.03.076⟩

Downloads: (external link)
https://inria.hal.science/hal-01343368v2/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01343368

DOI: 10.1016/j.ejor.2017.03.076

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().