Modeling Research On Assembly Line Balance Problem Considering Human Factors And Feeding Strategies

With the development of intelligent manufacturing and Internet of Things technology,customers are paying more and more attention to the individualized and diversified requirements of products,resulting in limited assembly space that cannot meet the ever-increasing material space requirements,and the lack of assembly space will seriously affect will seriously affect the part feed process of the assembly line and ultimately affect the cost and efficiency of the entire assembly system.Therefore,it is of great significance to study the influence of parts feeding policies on the problem of assembly line balance.On the one hand,the stable and efficient parts feeding system is the premise of the continuous production of the assembly line.Reasonable selection of parts feeding policies will greatly improve the efficiency of the assembly line,the utilization of assembly space and the operator’s workload level.On the other hand,the result of the assembly line balance determines the material requirements,the preparation time and the number of batchers,and a reasonable assembly line balance design will reduce the inventory level and logistics costs of the entire system.At present,research on assembly line balance and parts feeding issues is generally considered as two relatively independent issues,ignoring the close relationship and interaction between the two,and the inconsistency between the assembly system and the parts feeding system leads to the increase of the cost and the decrease of the efficiency of the entire manufacturing system.Therefore,this paper conducts an in-depth analysis of the interaction between the assembly line balance problem and the parts feeding problem,and studies the assembly line balance problem and parts feeding problem from the following aspects:Firstly,from the three aspects of assembly line balance,the parts feeding policies and human factors in the assembly line balance,combined with the achievements anddeficiencies in the existing research contents at home and abroad.From theperspective of material supply and human factors,the paper summarizes the theory of the assembly balance problem considering human factor and parts feeding policies,and lays the foundation for the optimization model and evaluation system.Secondly,an evaluation system that considers the assembly balance problem of human factors and feeding strategy is constructed.The parts feeding policies is divided into direct feeding and indirect feeding,and energy consumption rate and mental endurance are introduced to evaluate the operator’s ergonomic load.Finally,an integrated optimization model considering the assembly balance problem of human factors and parts feeding policies is constructed with the minimum operator number and the minimum total smoothing index as the optimization goal.The genetic algorithm is used to simulate and compare the designed examples.The advantages and disadvantages of layered optimization and integrated optimization are analyzed.