A Mathematical Optimization Model for Maintenance Planning of School Buildings

This article presents a methodology to optimize the maintenance planning model and minimize total costs of typical school building. It makes an effort provide schedule, focusing on costs. In allocation operations equipment, parameter its age was also taken into account. A mathematical optimization cost in three-year period provided GAMS software with CPLEX solver. Finally, optimum architecture Perceptron multi-layer neural network used predict schedule equipment The Multi-layer (MLP) results, minor Mean Squared Error (MSE) Root (RMSE), indicated that proposed capable predicting schools’ high accuracy. According school's for intended based Weibull distribution equal 15361 currency units per hour, which “heating cooling system” has highest contribution. Hence, accurate definite can prevent damages such while saving