Research On Optimization Of Dispatching Vehicle Scheduling Considering Prefabricated Building Components

For a long time,the construction industry has suffered from extensive production methods,serious environmental pollution,and high energy consumption.The industry urgently needs to transform and upgrade.In this context,as a new type of construction method,prefabricated buildings are being vigorously promoted in the industry.Compared with traditional construction methods,prefabricated buildings have the advantages of standardized design and reduced resource waste,but they increase the distribution of prefabricated components.Due to the large volume,irregular shape and strong timeliness of prefabricated components,it is easy to cause vehicle scheduling problems such as low prefabricated component distribution efficiency.This paper takes prefabricated building components as the research object,and conducts the research on the dispatch optimization of distribution vehicles,in order to reduce the unreasonable dispatch of the prefabricated component distribution vehicles,and make the logistics operation of the prefabricated building components run more smoothly and orderly,which can make the assembly The resources of the entire industrial chain are used rationally.Therefore,this article takes the prefabricated building components as the research object,and takes the highest satisfaction of the construction site time and the shortest waiting time of the delivery vehicles as the goals,and conducts the research on the dispatch optimization of distribution vehicles.In order to improve the delivery vehicle scheduling plan of the prefabricated component factory and improve the delivery efficiency of prefabricated components,this research applied an improved particle swarm algorithm to solve the delivery vehicle scheduling model.The paper introduces the distribution characteristics and processes of prefabricated components,and then analyzes the current situation of prefabricated component distribution vehicle scheduling,and addresses the problems of low customer satisfaction and long waiting time for vehicles in the distribution process.Aiming at the problems of low satisfaction with construction site time and long waiting time of delivery vehicles in the delivery process,a dual-objective vehicle scheduling model was established with the highest satisfaction on construction site time and the shortest waiting time of delivery vehicles as the objective function.Secondly,the standard particle swarm algorithm has a fast convergence rate and is prone to local optimization problems,so the algorithm has been improved by introducing crossover,mutation,and selection strategies into the genetic algorithm.,and the model is finally solved.Among them,the PMX crossover strategy is adopted for the distribution site sequence,and the single-point crossover strategy is adopted for the distribution vehicle sequence.Finally,in order to verify the rationality of the model and the effectiveness of the improved particle swarm algorithm,the relevant data of a certain area is selected for case study.The research shows that the dual-objective(shortest vehicle waiting time and the highest satisfaction on construction site)model constructed in this paper is feasible.It can be known from the fitness function value solved,which improves the average satisfaction of the construction site and reduces the waiting time of vehicles.,Which shows that the improvement of particle swarm algorithm has certain rationality.It provides a certain reference for the dispatching of prefabricated components in prefabricated buildings.In addition,it has long-term significance for the construction industry to improve resource utilization,optimize the logistics industry chain of the construction industry,and promote the further development of prefabricated buildings.