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Research On Space Layout Optimization Of Prefabricated Component Production Line Using SLP-GA

Posted on:2023-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:T PanFull Text:PDF
GTID:2532307040998089Subject:Construction project management
Abstract/Summary:PDF Full Text Request
In order to overcome the disadvantages of traditional construction,such as long construction period,low production efficiency and uneven project quality,prefabricated buildings have gradually become the trend of the development of the construction industry in recent years.This brings broad market prospects to the production of prefabricated components.The layout of the prefabricated component production line determines the direction and the rate of material flow.It greatly affects the production cost and production speed of the production line.As the important factor affecting the production efficiency of the production line,the space layout of the production line has become the focus of attention.This paper takes a high-speed rail small prefabricated component production line as the research object.It comprehensively uses SLP method and genetic algorithm to optimize the space layout of the production line,and uses computer simulation technology to verify the plan from multiple dimensions.The main results of the paper are as follows:(1)Propose two preliminary layout schemes of prefabricated production line based on SLP method.The current situation of prefabricated production line layout is analyzed by qualitative and quantitative methods.The results show that there are many problems in the current layout scheme,such as loose structure,low space utilization,and unreasonable location of some operating units.For these problems,the SLP method is used to divide the logistics and nonlogistics relationship levels of each operation unit,calculate the comprehensive relationship score,and draw the corresponding position correlation diagram accordingly.On this basis,two preliminary alternative layout schemes are proposed by using the sixteenth grid method.(2)Design the optimal layout scheme of prefabricated component production line based on genetic algorithm.The mathematical model of the production line layout is constructed by the genetic algorithm.The objective function of the model includes two aspects:the minimum logistics intensity and the maximum comprehensive correlation degree.The two alternative schemes are involved in the operation as the initial population,and a preliminary optimization scheme is obtained.On this basis,the scheme is properly adjusted according to certain principles,and the final optimized layout scheme is obtained.Through a simple comparative analysis,the results show that the logistics intensity of the optimized layout scheme is reduced by 50.92%,the transportation route is shortened by 16.17%,the comprehensive correlation degree is increased by 3.17%,and the space utilization rate is increased by 37.32%.These results preliminarily demonstrate that the optimized scheme can improve the production efficiency of the production line.(3)Carry out simulation analysis of layout scheme based on Arena simulation software.Using the Input Analyzer of Arena software to fit the production data collected from the field survey.The fitting results and layout data are input into the simulation software,and the layout simulation model of the prefabricated component production line is established.According to the simulation data,the layout scheme of production line is analyzed and evaluated from four dimensions.The results show that compared with the initial scheme,the total transportation time of the optimized scheme has been shortened by 12.14%,the overall waiting time has been reduced by 22.79%,the total number of physical processing has increased by 1.71%,and the utilization rate of each equipment has also been improved.This further verifies the rationality and superiority of the optimized layout scheme.
Keywords/Search Tags:Prefabricated component production line, Space layout optimization, SLP, Genetic algorithm, Arena simulation
PDF Full Text Request
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