Research On Multi-objective Workshop Facilities Layout Problem From Human Factor Perspective

Intelligent manufacturing is increasingly becoming a major trend and core content of the future development of the manufacturing industry.It is an important measure to accelerate the transformation of development methods.The characteristics of intelligent manufacturing are based on smart factories,and the layout of facilities is an important part of building a smart factory.Its purpose is to coordinate human and machine coordination,and highlight the core position of human in the manufacturing system,to build an efficient,energy-saving,green and comfortable humanized workshop.In this paper,the manufacturing workshop is taken as the research object,and a multi-objective function optimization model is established to minimize the cost of logistics,time and human injury.Then analyze and evaluate different workshop layout plans to achieve the balance of optimization objectives,so as to reduce the cost of enterprises.The main research contents of the paper are as follows:By analyzing the factors that cause worker fatigue or occupational disease at work,and referring to previous literature,a worker load assessment system is established.Analyze the worker’s posture score according to the work posture analysis system to determine the coefficient of manual labor mode.At the same time,the average metabolic rate of energy is evaluated by the "metabolism analysis" tool of human factor software Jack.Finally,calculate the physical labor intensity index I,which is the physical load;using subjective load assessment method to quantify mental load.The weighted integration of physical load and mental load is taken as the cost of human injury.Based on the simulation analysis tool "working time" of human factor engineering software Jack,the walking time of the transportation work is measured.The regression function is used to fit the walking time to establish a suitable regression equation.After setting the parameters of digital virtual human,the fatigue recovery analysis tool is used to predict the time needed for fatigue recovery.The correlation coefficient method is used to check the consistency between the simulated fatigue recovery time and the actual fatigue recovery data,and it is found that there is a high consistency.SPSS is used to carry out multiple nonlinear regression analysis,and the calculation equation of fatigue recovery time is established.The sum of walking time and fatigue recovery time is regarded as time cost.The logistics cost is determined according to the transportation distance,the transportation cost,and the material flow.A multi-objective optimization model is established to minimize the cost of logistics,time and human injury.According to the relevant parameters of the workshop layout example,combined with the unit human damage cost,unit logistics cost,and time cost between facilities,a hybrid genetic algorithm is designed to optimize the layout plan.Finally,the original layout scheme and the layout scheme obtained by the hybrid genetic algorithm are compared under different circumstances in terms of cost of time,logistics,and human damage.The results show that under the premise of comprehensive consideration of three kinds of costs,the comprehensive cost of layout using hybrid genetic algorithm is 3.9658,which is 4.25% lower than that of the original layout,so the effectiveness of the layout method is proved.