A discrete particle swarm optimization algorithm for assembly sequence planning

Author

Lv, HongGuang ; Lu, Cong

Author_Institution

Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

20-24 July 2009

Firstpage

1119

Lastpage

1122

Abstract

In this paper, a discrete particle swarm optimization (DPSO) algorithm is proposed to solve assembly sequence planning (ASP) with the objective of minimizing the assembly costs and maintain the reliability of assembly process. To make DPSO algorithm suitable for solving ASP, special coding methods and position updating rules are proposed, and the effects caused by the changes of parameters in DPSO algorithm are also discussed. Finally, the performance of the proposed DPSO algorithm to solve ASP is verified through the numerical simulation.

Keywords

assembly planning; numerical analysis; particle swarm optimisation; assembly sequence planning; discrete particle swarm optimization algorithm; numerical simulation; Ant colony optimization; Application specific processors; Birds; Cost function; Particle swarm optimization; Process planning; Production planning; Robotic assembly; Robotics and automation; Technology planning; assembly cost; assembly sequence planning; multi-objective optimization; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-4903-3

Electronic_ISBN

978-1-4244-4905-7

Type

conf

DOI

10.1109/ICRMS.2009.5270057

Filename

5270057