关键词: 装配线, 时间波动, 信息熵, 复杂性测度, 线平衡

Abstract: Uncertain operation time made workstation time and cycle time fluctuate,which would probably lead to the failure of deterministic assembly line balancing scheme.Aiming at this problem,a balancing method was proposed for the stochastic assembly line.The operation time was described with its probability distributions,and then the workstation complexity measuring method was given based on information entropy.An optimization model was established by taking the maximum balancing rate,workstation load balancing and workstation complexity balancing as objectives.An improved genetic algorithm was put forward to solve the model,and an instance was used to verify the effectiveness of the proposed model and algorithm.The results illustrated that the method balanced the complexities of stations with the greatest productivity and balanced workstation load,which could reduce the effect of uncertainties on the line and make the production more stable and smooth.

Key words: assembly line, stochastic time, information entropy, complexity measurement, line balancing