A genetic algorithm approach to optimising component placement and retrieval sequence for chip shooter machines

W. Ho, Ping Ji

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

Abstract

A chip shooter machine in printed circuit board (PCB) assembly has three movable mechanisms: an X-Y table carrying a PCB, a feeder carrier with several feeders holding components and a rotary turret with multiple assembly heads to pick up and place components. In order to get the minimal placement or assembly time for a PCB on the machine, all the components on the board should be placed in a perfect sequence, and the components should be set up on a right feeder, or feeders since two feeders can hold the same type of components, and additionally, the assembly head should retrieve or pick up a component from a right feeder. The entire problem is very complicated, and this paper presents a genetic algorithm approach to tackle it.
Original languageEnglish
Pages (from-to)556-560
Number of pages5
JournalInternational Journal of Advanced Manufacturing Technology
Volume28
Issue number5-6
DOIs
Publication statusPublished - 1 Mar 2006

Keywords

  • Chip shooter machines
  • Component retrieval
  • Component sequencing
  • Feeder arrangement
  • Genetic algorithms

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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