A MILP model for the long term academic staff size and composition planning in public universities |
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| Affiliation: | 1. Centre for Management Studies, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1, Lisbon, 1049-001 Portugal;2. Faculty of Economics and Business, Department of Information Management, Modeling and Simulation, KU Leuven Campus Brussels, Warmoesberg, 26, Brussels, 1000 Belgium;3. Faculty of Economics and Business, Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, Leuven, 3000 Belgium;1. IN3 – Computer Science Dept., Av. Carl Friedrich Gauss 5, Castelldefels 08860, Spain;2. Dep. of Economics, Quantitative Methods and Economic History, Pablo de Olavide University, Seville 41013, Spain;3. Euncet Business School, Terrassa 08225, Spain;4. Dept. of Business Organisation, Universitat Politècnica de València, Alcoy 03801, Spain;5. Dept. of Applied Statistics and Operations Research, Universitat Politècnica de València, Alcoy 03801, Spain |
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| 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. |
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| Keywords: | Strategic staff planning Long term staff planning MILP KIO/KIF KIBS |
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