BINARY LINEAR PROGRAMMING IN DECISION MAKING IN EDUCATION RESEARCH PROJECTS
Abstract
Binary Linear Programming (PLB) is a tool of Operations Research widely used to solve problems for decision making. This study initiates a process to indicate the creation of an application capable of automating the use of PLB applied to the prioritization of education research projects under budget constraints, here using the Microsoft Excel Solver add-in. The objective is to demonstrate that it is possible to maximize the total scientific impact meeting the financial limitation, considering a set of projects with pre-defined costs and scores. The results confirm the effectiveness of PLB for strategic decisions in contexts of limited resources, ensuring transparency and rationality in the decision-making process. It is concluded that PLB constitutes a robust and flexible approach to complex problems, and its integration with heuristics and advances in data science tends to further expand its potential. The study reinforces the importance of technical and interdisciplinary deepening for the effective use of PLB in contemporary contexts.
Author Biographies
Ph.D. in Production Engineering Sciences from the Universidade Federal do Rio de Janeiro, COPPE/UFRJ, Rio de Janeiro, RJ, Brazil.
Ph.D. in Production Engineering Sciences from the Universidade Federal do Rio de Janeiro, COPPE/UFRJ, Rio de Janeiro, RJ, Brazil. Permanent Professor of the Graduate Program in History of Sciences and Techniques and Epistemology at the Universidade Federal do Rio de Janeiro, HCTE/UFRJ, Rio de Janeiro, RJ, Brazil.
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