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Research On Production Scheduling Optimization Of Precast Concrete Components In Assembled Buildings

Posted on:2023-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiuFull Text:PDF
GTID:2542307070986699Subject:Engineering
Abstract/Summary:PDF Full Text Request
As a new type of building production method,assembled construction is the future direction of China’s building modernization and industrialization.The production of precast concrete components in the assembled building industry chain is crucial,and reducing the production cost of precast concrete components and ensuring on-time supply are practical problems that need to be solved.This thesis focuses on production scheduling optimization of precast concrete components in assembled buildings.The main research contents and results are as follows.First of all,this thesis defines the basic concepts of assembled buildings and precast concrete components.And it describes the theory and methods of production scheduling and multi-objective optimization,and provides the theoretical and analytical methodological basis for the thesis research.After that,the thesis analyzes the production mode,production characteristics and production process of precast concrete components.The traditional production scheduling model of precast concrete components for assembled buildings is introduced,and the shortcomings of the traditional production scheduling model are analyzed.So that,the thesis constructed a whole-process production scheduling model of precast concrete components for assembled buildings.This model includes 9 processes.Combined with the actual production,the resource constraints of labor force,mold and steam curing kiln capacity are included in this model.The objective function of this model is to minimize the production completion time and the cost of on-time delivery penalty.And then,this thesis analyzed the genetic algorithm and particle swarm algorithm process and their advantages and disadvantages,and then it analyzed and compared these two algorithms through multiple dimensions,and concludes that the hybrid of the two algorithms is feasible.For the whole-process production scheduling model of precast concrete components for assembled buildings established in Chapter 3,an improved AGA-based GA-PSO hybrid algorithm is proposed.The mechanism of this algorithm is analyzed,and the production scheduling optimization algorithm of precast concrete components is designed,specifically including the fitness function,chromosome encoding decoding,and genetic operation and particle update.The process of the whole-process production scheduling optimization algorithm of precast concrete components for assembled buildings is summarized.Finally,this thesis takes a precast concrete components production plant as an example for empirical analysis.And with Matlab software,the scientificity and practicality of the whole-process production scheduling model of precast concrete components for assembly buildings constructed and the optimization algorithm designed in the research were verified.Finally,this thesis puts forward measures and suggestions to improve the management measures of precast production scheduling,develop the precast production planning and scheduling management system,strengthen the information management of precast production scheduling and improve the production scheduling emergency mechanism.The research results enrich the theoretical study of production scheduling optimization of precast concrete components in assembled buildings and can provide reference for production scheduling optimization of precast concrete components manufacturers of assembled buildings.
Keywords/Search Tags:Assembly Building, Precast Concrete Components, Production Scheduling Optimization, GA-PSO Hybrid Algorithm
PDF Full Text Request
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