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Research On Simulation And Optimization Of Production Scheduling Of Prefabricated Components Based On Genetic Algorithm

Posted on:2021-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y C LiuFull Text:PDF
GTID:2492306107493744Subject:Engineering (Architectural and Civil Engineering)
Abstract/Summary:PDF Full Text Request
At present,the prefabricated building is undergoing vigorous development and promotion in China.Unlike the traditional cast-in-place construction,the prefabricated building has certain advantages in construction efficiency and low carbon environmental protection.The production of prefabricated components is an indispensable important link in prefabricated buildings.It transfers some work on the construction site to the prefabricated component factory for completion,and transports the produced components to the construction site for assembly and installation.The domestic research on the production of prefabricated components is still in the initial stage,there are insufficient management experience in component factories,and the production scheduling optimization goal is too single to effectively deal with the impact of uncertain production environments.Therefore,it is very important to study the optimization of production scheduling of prefabricated components.Based on the above background,this paper analyzes the production scheduling theory and existing problems of prefabricated components.Among them,the production process is roughly divided into six main processes: assembling molds,placing steel bars,embedded parts,pouring concrete and vibrating,curing concrete,removing molds,inspecting and repairing finished products.Its production features mainly include strong process continuity,long production cycle,and large unit size.The related theories of production scheduling mainly introduce the overview of production scheduling problems,the theory of production scheduling of prefabricated components and several common flowshop scheduling theories.The current problems are mainly concentrated in the low level of management and scheduling of prefabricated component production,unable to cope with the complex and uncertain production environment.At the same time,the concept and response methods of emergency production components are introduced in view of the impact of uncertain production environment.Based on the characteristics and theory of prefabricated component production and scheduling,combined with the specific problems existing in the current production scheduling of prefabricated components in China,this paper establishes a basic model for the optimization of production scheduling of prefabricated components.The optimization objective of the model is to maximize the profit under the minimum penalty of delivery and production cost.The constraints include production constraints,buffer constraints and labor constraints.At the same time,for the disturbance of emergency production components,a new scheduling model is established based on the basic model.The genetic algorithm is used to solve the model,in which the order crossover operator is used to improve the global search ability of the algorithm,and the inversion mutation operator is used for mutation to improve the global optimal performance and avoid premature convergence.Finally,in a practical case,the production data of prefabricated components collected through investigation and interview are simulated and optimized by MATLAB.The simulation results prove the feasibility and effectiveness of the model and optimization algorithm proposed in this paper,and give the selection of insertion production strategy under the disturbance of emergency production components.The research results of this paper can not only enrich the theoretical research on the optimization of production scheduling of prefabricated components,but also help the manufacturers of prefabricated components to arrange the production scheduling scheme reasonably,so as to improve the production profit,production efficiency and emergency response ability.
Keywords/Search Tags:Prefabricated Components, Production Scheduling, Optimization Model, Genetic Algorithm, Simulation
PDF Full Text Request
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