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An Optimal Multiobjective Production System, A Case Study

Authors:
Hector Miguel Gastelum Gonzalez
Maria Elena Meda Campaña

Keywords: multiobjective optimization; nsga-II; production systems; genetic algorithm

Abstract:
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.

Pages: 58 to 64

Copyright: Copyright (c) IARIA, 2014

Publication date: October 12, 2014

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-61208-371-1

Location: Nice, France

Dates: from October 12, 2014 to October 16, 2014