An Adaptive Genetic Algorithm for Production Scheduling on Manufacturing Systems with Simultaneous Use of Machines and AGVs

The problem of production scheduling of manufacturing systems involves the system modeling task and the application of a technique to solve it. This kind of scheduling is characterized by the large number of possible solutions, where several researches have been using the genetic algorithms as a sea...

Full description

Saved in:
Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2015-06, Vol.26 (3), p.225-234
Main Authors: Sanches, Danilo Sipoli, Silva Rocha, Josimar da, Castoldi, Marcelo Favoretto, Morandin, Orides, Kato, Edilson Reis Rodrigues
Format: Article
Language:English
Subjects:
Control
Control and Systems Theory
Electrical Engineering
Engineering
Mechatronics
Robotics
Robotics and Automation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The problem of production scheduling of manufacturing systems involves the system modeling task and the application of a technique to solve it. This kind of scheduling is characterized by the large number of possible solutions, where several researches have been using the genetic algorithms as a search method to solve this problem, since these algorithms have the capacity of globally exploring the search space and to find good solutions quickly. This paper proposes the use of adaptive genetic algorithm to solve this kind of scheduling problem. The aim of this paper was to obtain a good production schedule considering simultaneous use of machines and automated guided vehicles that minimize the makespan with low running time. The results of this paper were validated in large scenarios and compared with other approach. These results are presented and discussed in this paper.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-015-0174-6