A generic reconfigurable and pluggable material handling system based on genetic algorithm

Andre Dionisio Rocha, Pedro Caetano, Jose Barata Oliveira

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

With the increasing customization of products there was a need to create new manufacturing systems that were able to satisfy these needs of the market. The Reconfigurable Manufacturing System (RMS) emerges as a more recent approach allowing the reconfiguration of the line and all the manufacturing systems. The balancing line is a common problem in the system reconfiguration but may not be enough, being also important to reconfigure the material handling system itself. Genetic Algorithms (GA) are one of the most known and used alternatives in optimization problems being widely used in shortest path problems like the travelling salesman. In this paper a solution that allows reconfiguring an agent based material handling system using a genetic algorithm is presented.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages103-113
Number of pages11
Volume694
DOIs
Publication statusPublished - 2017

Publication series

NameStudies in Computational Intelligence
Volume694
ISSN (Print)1860-949X

Keywords

  • Genetic algorithm
  • Material handling system
  • Reconfigurable manufacturing system

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    Rocha, A. D., Caetano, P., & Oliveira, J. B. (2017). A generic reconfigurable and pluggable material handling system based on genetic algorithm. In Studies in Computational Intelligence (Vol. 694, pp. 103-113). (Studies in Computational Intelligence; Vol. 694). Springer Verlag. https://doi.org/10.1007/978-3-319-51100-9_10