 A MILP model for the long term academic staff size and composition planning in public universitiesR. de la Torre, A. Lusa and M. Mateo Omega, 2016, vol. 63, issue C, 1-11 Abstract: This paper proposes a model for dealing with the long term staff composition planning in public universities. University academic staff is organized in units (or departments) according to their field of expertize. The staff for each unit is distributed in a set of categories, each one characterized by their teaching hours, cost and other specificities. Besides the use for planning (and updating a plan), the model can be used to assess the impact that different strategies may have on the personnel costs and the structure of a university. The proposed model is formulated generally, so it can be applied to different types of universities attending to their characteristics. The model is applied to a real case and validated by means of a computational experiment considering several scenarios. The analysis is focused on achieving a preferable academic staff composition under service level constraints while also minimizing the associated economic expenditures considering a long term horizon. The results show that the model successes in approaching the staff composition to a previously defined pattern preferable one. Keywords: Strategic staff planning; Long term staff planning; MILP; KIO/KIF; KIBS (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:63:y:2016:i:c:p:1-11 Ordering information: This journal article can be ordered from DOI: 10.1016/j.omega.2015.09.008 Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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