Research On The Balance Problem Of Mixed Flow Assembly Line Considering Operator Fatigue

With the continuous improvement of national living standards,the increasingly personalized aesthetic of consumers has led to diversification of consumer demand.Production on mixed assembly lines with multiple types and small batches has become an important part of manufacturing,an industry that places higher demands on operators.Workers on mixed flow assembly lines not only need to master assembly skills,but also choose different assembly processes and components when assembling different products.Their physical and mental abilities bear the workload at the same time.Simply using time balancing assembly lines can no longer meet production realities,resulting in uneven load between work stations on the assembly line,bottlenecks in work stations,and has a significant impact on the overall performance and health and safety of workers.Therefore,considering the load factors of operators in the balancing problem of mixed flow assembly lines and by building a scientific and efficient optimisation model,we can optimise the balance effect while effectively reducing the risk of occupational diseases for workers.First of all,In order to identify the key factors affecting operational fatigue,a SEM causal model using for factor analysis,the SEM method based on DEMATEL-ISM was used affecting somato-cerebral operational fatigue.Secondly,the work fatigue model of mixed-model assembly line workers is established.In combination with the results of the SEM analysis,the influence of fatigue factors is quantified and corrected.Subsequently,efforts are made to minimize the work rhythm,the idle ratio and the total error rate,a hybrid assembly line balance model considering the body and brain fatigue and the operation error rate is established.Finally,optimize the model using a hybrid genetic algorithm and a simulated annealing algorithm and test it on an example.The results show that the key causes and their effects can be obtained through the analysis A causal fatigue model for the pipeline was developed using a mixture model,providing a theoretical basis for further development of the fatigue recovery model and confirming that DEMATEL-ISM can be a powerful tool for structural equation modelling;By establishing the balance model of mixed-model assembly line considering fatigue and recovery,the optimal beat,idle index and error rate of work tasks can be obtained,which can provide a scientific basis and reference for decisions on the deployment and assignment of workers in real production,as well as helping to reduce or eliminate worker fatigue,improves overall efficiency and reduces errors.Experimental results show that the improved genetic annealing algorithm performs better than the basic genetic annealing algorithm,confirming the effectiveness of the improved algorithm.