Linear Programming Subject Allocation Model for Private School Teachers

Abstract

Teaching subject allocation is one of the most crucial tasks that will be carried out in every academic institution. An appropriate teaching subject allocation based on preference, expertise, and experience is necessary to uphold a high teaching quality and bring job satisfaction to teachers. However, the current practice by most schools has been done without systematic allocation that takes into consideration those criteria in decision making. Although linear programming method has been applied in many studies to address subject allocation challenges faced by higher education institutions, its application in private schools has not been widely explored. Based on a case study of a private school in Malaysia, this study aims to develop an optimum teaching subject allocation model using linear programming method. A total of nine teachers participated in a survey to identify their subject preferences. By determining the parameters and variables involved, a Linear Programming Subject Allocation (LPSA) model was developed using Microsoft Excel Solver. Proven as an optimum model that satisfies the constraints, this model serves as a solution to address the dissatisfaction among the teachers due to inefficient allocation. This model benefits the school management to be more efficient, save time and avoid bias allocation.