Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19954
Title: Integrated component scheduling models for chip shooter machines
Authors: Ho, W
Ji, P 
Keywords: Component sequencing
Feeder arrangement
Hybrid genetic algorithm
Optimization
PCB assembly
Issue Date: 2010
Publisher: Elsevier
Source: International journal of production economics, 2010, v. 123, no. 1, p. 31-41 How to cite?
Journal: International journal of production economics 
Abstract: This paper focuses on minimizing printed circuit board (PCB) assembly time for a chip shooter machine, which has a movable feeder carrier holding components, a movable X-Y table carrying a PCB, and a rotary turret with multiple assembly heads. The assembly time of the machine depends on two inter-related optimization problems: the component sequencing problem and the feeder arrangement problem. Nevertheless, they were often regarded as two individual problems and solved separately. This paper proposes two complete mathematical models for the integrated problem of the machine. The models are verified by two commercial packages. Finally, a hybrid genetic algorithm previously developed by the authors is presented to solve the model. The algorithm not only generates the optimal solutions quickly for small-sized problems, but also outperforms the genetic algorithms developed by other researchers in terms of total assembly time.
URI: http://hdl.handle.net/10397/19954
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2009.05.029
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