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Mathematical Optimization Model for the Assignment of Faculty to Research Activities
Higher education institutions face the challenge of balancing teaching and research activities, ensuring an adequate allocation of faculty members and the sustainability of their academic processes. This article aims to formulate a mathematical optimization model that determines the optimal hiring and distribution of faculty in an engineering school, considering their academic qualifications, type of contract, teaching load, and participation in research projects. The methodology was based on a systematic review of specialized literature, using a search equation applied to academic databases, from which at least twenty relevant articles on allocation problems in educational institutions were selected. Subsequently, the perspectives of different authors regarding the use of linear programming models and metaheuristics were contrasted, in order to identify trends in the evolution of theoretical frameworks and practical applications in the academic field. Based on this foundation, a binary integer programming model was formulated, integrating institutional context constraints, internal policies, and course and project requirements. The results show that the model maximizes institutional benefits, strengthens the participation of PhD faculty in research, and ensures compliance with regulatory criteria. Its relevance lies in providing a strategic decision-making tool that articulates theory and practice to improve academic management.