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A Firefly Algorithm to Solve the Manufacturing Cell Design Problem

  • Ricardo SotoEmail author
  • Broderick Crawford
  • Jacqueline Lama
  • Fernando Paredes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 464)

Abstract

The Manufacturing Cell Design Problem (MCDP) consists in creating an optimal design of production plants, through the creation of cells grouping machines that process parts of a given product. The goal is to reduce costs and increase productivity by minimizing movements and exchange of material between these cells. In this paper, we present a Firefly Algorithm (FA) to tackle this problem. The FA is a recent bio-inspired metaheuristic based on the mating behavior of fireflies that employ its flashing capabilities to communicate with each other or attract potential prey. We incorporate efficient transfer and discretization methods in order to suitable handle the binary domains of the problem. Interesting experimental results are illustrated where several global optimums are reached for a set of 90 well-known MCDP instances.

Keywords

Manufacturing Cell Design Firefly Algorithm Metaheuristics Optimization 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ricardo Soto
    • 1
    • 2
    • 3
    Email author
  • Broderick Crawford
    • 1
    • 4
    • 5
  • Jacqueline Lama
    • 1
  • Fernando Paredes
    • 6
  1. 1.Pontificia Universidad Católica de ValparaísoValparaísoChile
  2. 2.Universidad Autónoma de ChileSantiagoChile
  3. 3.Universidad Cientifica del SurLimaPeru
  4. 4.Universidad Central de ChileSantiagoChile
  5. 5.Universidad San SebastiánSantiagoChile
  6. 6.Escuela de Ingeniería IndustrialUniversidad Diego PortalesSantiagoChile

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