Solving manufacturing cell design problems by using a bat algorithm approach

RICARDO JAVIER SOTO DE GIORGIS, BRODERICK CRAWFORD LABRIN, Andrés Alarcón, Carolina Zec, Emanuel Vega, Victor Reyes, IGNACIO DANIEL ARAYA ZAMORANO, Eduardo Olguín

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Manufacturing Cell Design is a problem that consist in distributing machines in cells, in such a way productivity is improved. The idea is that a product, build up by using different parts, has the least amount of travel on its manufacturing process. To solve the MCDP we use the Bat Algorithm, a metaheuristic inspired by a feature of the microbats, the echolocation. This feature allows an automatic exploration and exploitation balance, by controlling the rate of volume and emission pulses during the search. Our approach has been tested by using a well-known set of benchmark instances, reaching optimal values for most of them.

Keywords

  • Bat algorithm
  • Bio-inspired systems
  • Manufacturing cell design problems
  • Metaheuristic

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