Scheduling Optimization Of Precast Concrete Components In Prefabricated Construction

China’s prefabricated construction mode is in a high-speed development process,and the demand for prefabricated components(PCs)increase correspondingly.The production of PCs is characterized by order-oriented,in which the problems of multiple varieties and small batches make the rational planning of production planning in planning become a key issue to improve the competitiveness.There are limited characteristics of the number of curing kiln in the production of PCs.The limitation of the number of curing kiln makes production of PCs a more complicated process.Therefore,it is necessary to analyze the scheduling problem of adopting natural conservation as an alternative method under this condition.Based on the analysis of production process,this thesis establishes a prefabricated component scheduling optimization model with steam curing as the preferred method and natural conservation as an alternative method.It describes the resource-restricted problem with alternative methods considering the characteristics of PCs.The two characteristics of discontinuity and parallelism are analyzed to classify the actual scenarios faced in the process.Afterwards,a multi-objective genetic algorithm based PCs Flowshop scheduling optimization model is established,in which the operation of the algorithm,the rules of chromosome coding,selection,crossover and mutation are discussed,and elite retention is introduced and strategies is applied to improve algorithm efficiency.This thesis selects the prefabricated component factory affiliated to Tianjin YZ Construction Company as a case,verifies the efficiency of the algorithm and the validity of the solution,and draws the engineering conclusion with practical guiding significance.As a result,the thesis discusses the distribution of the number of curing kiln,analyzes the impact on production lead time and cost under different conditions,and provides theoretical guidance for solving the problem of production scheduling optimization of PCs under the limited number of curing kiln.