Simulations of PCB assembly optimisation based on the Bees Algorithm with TRIZ-inspired operators

Ang, Mei Choo, Weng, Ng Kok, Pham, Duc Truong and Soroka, Anthony John ORCID: https://orcid.org/0000-0002-9738-9352 2013. Simulations of PCB assembly optimisation based on the Bees Algorithm with TRIZ-inspired operators. Presented at: IVIC 2013: International Visual Informatics Conference, Selangor, Malaysia, 13-15 November 2013. Published in: Badioze Zaman, Halimah, Robinson, Peter, Olivier, Patrick, Shih, Timothy and Velastin, Sergio eds. Advances in Visual Informatics. Lecture Notes in Computer Science. , vol.8237 Springer Verlag, pp. 335-346. 10.1007/978-3-319-02958-0_31

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Abstract

he process of assembling electronic components on a printed circuit board (PCB) with moving board time delay characteristic involves complex co-ordination of a component feeding system, a pick and place system and the positioning movement of the PCB board. Different component arrangements in the feeder system and different assembly paths influence the total assembly time. Reducing the total assembly time can deliver significant cost savings. In this research work, the application of simulation to component assembly enables process engineers to visualise, compare assembly paths and the arrangement of the feeders as well as to verify the total assembly time achieved. This allows the process engineers to make better decision on the planning of the PCB assembly process. The paper shows that simulation when coupled with optimisation techniques enable process engineers to make and plan improvements in PCB assembly times.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Computer Science & Informatics Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Springer Verlag
ISBN:	9783319029573
ISSN:	0302-9743
Last Modified:	05 Nov 2024 22:23
URI:	https://orca.cardiff.ac.uk/id/eprint/57171

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