An Optimal Multiobjective Production System: A Case Study
Hector Miguel Gastelum Gonzalez, María Elena Meda Campaña · International Conference on Advances in System Simulation · 2014
In this paper, a case study is presented to improve the performance of a Tires Production System implemented as a Material Requirement Planning. In our proposal, the Master Production Schedule is calculated from a percentage of the demand's forecast per period, and production begins with the arrival of customer orders. The improvement of Tires Production Systems comprises to work with the multi-objective genetic algorithm method NSGA-II and with the results comparison of the duo Simulated Binary Crossover - Parameter based against the Whole Arithmetical Crossover Mutation - Mutation Uniform. The simulation results show that the minimum values are obtained with the pair Simulated Binary Crossover - Mutation-based Parameter, and also in fewer generations number.