Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8655
Title: A genetic algorithm approach to optimising component placement and retrieval sequence for chip shooter machines
Authors: Ho, W
Ji, P 
Keywords: Chip shooter machines
Component retrieval
Component sequencing
Feeder arrangement
Genetic algorithms
Issue Date: 2006
Publisher: Springer
Source: International journal of advanced manufacturing technology, 2006, v. 28, no. 5-6, p. 556-560 How to cite?
Journal: International journal of advanced manufacturing technology 
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.
URI: http://hdl.handle.net/10397/8655
ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s00170-004-2390-2
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