An Assembly Line Multi-Station Assembly Sequence Planning Method Based on Particle Swarm Optimization Algorithm,ERICDATA高等教育知識庫
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篇名
An Assembly Line Multi-Station Assembly Sequence Planning Method Based on Particle Swarm Optimization Algorithm
並列篇名
An Assembly Line Multi-Station Assembly Sequence Planning Method Based on Particle Swarm Optimization Algorithm
作者 Shuan-Jun Song、Cheng-Hong Qiu、Long-Guang Peng、Sheng Hu
英文摘要

Aiming at the problem that the existing assembly sequence planning methods are difficult to meet the multi-station assembly requirements of assembly line, an assembly sequence planning method of assembly line considering the constraints of station sequence and station capability is proposed. The multi-station assembly sequence model is established to describe the allocation scheme and assembly sequence of parts. The conditions and generating rules of feasible assembly sequence are given. The assembly time variance of each station is used as the fitness function, and the particle swarm optimization (PSO) algorithm is designed. Taking an engineering vehicle assembly as an example, the optimal integration solution of multi-station assembly sequence and job assignment is obtained by using this algorithm, and the validity of the model is verified.

 

起訖頁 115-125
關鍵詞 assembly line、multi-station assembly model、particle swarm optimization、assembly sequence planning、job assignment
刊名 電腦學刊  
期數 202202 (33:1期)
DOI 10.53106/199115992022023301011   複製DOI
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