Research On Scheduling Optimization Of Prefabricated Building Production Project

With the acceleration of urbanization,urban development,and the clustering effect it brings are an inevitable development trend in the future,and prefabricated buildings have great advantages for this trend.Prefabricated buildings have the characteristics of fast construction speed,time saving,reliable quality,and meet the development needs of green buildings.At present,the assembly type in our country is still in the development stage,the standard is not unified,the technology is relatively backward,and many other conditions lead to high cost.Therefore,it is of great significance to study the construction and production scheduling of fabricated components in the actual production process.This article first analyzes the production process of prefabricated buildings,summarizes the nine processes of prefabricated building production,outlines classic resource scheduling project scheduling problems and multi-mode project scheduling problems,and rationalizes prefabricated buildings.merge.To solve this problem,this paper proposes a hybrid differential evolution particle swarm intelligent algorithm based on Pareto.The characteristics of its generation and production process are designed to minimize the production completion time and minimize the cost of fines.Constructed a multi-mode framework component production debugging model.Third,the paper uses particle swarm optimization to solve multi-objective problems.The hybrid differential algorithm improves the parallel search capability and improves the search accuracy of the algorithm under the Pareto method.It effectively avoids the local optimization problems caused by the single particle swarm optimization algorithm.Defects with low precision.Finally,combined with the actual structure production assembly construction concept,Matlab is used to simulate the multi-objective optimization model.Practice shows that the DEPSO-BP algorithm can provide a practical solution to the production scheduling problem under actual conditions.