| With the rapid development of China’s economy,prefabricated buildings have welcomed new development opportunities because of their advantages such as short construction cycle,green and environmental protection.PC components are the core support of prefabricated buildings.However,most PC component manufacturers now only use their own experience to determine the distribution of vehicles distribution plan,which leads to the lack of a reasonable plan,resulting in the PC component distribution of high cost,low efficiency and other problems,in the distribution process often appear late distribution and vehicles waiting for unloading at the scene,etc.,phenomenon,At the same time,it can also affect the construction schedule,resulting in the delay of the construction period and a lot of unnecessary costs.Therefore,it is of great theoretical significance and practical value to develop a scientific and effective vehicle scheduling scheme to reduce the distribution cost of PC components.First of all,this paper summarizes the research status of logistics distribution optimization and construction distribution optimization at home and abroad.Secondly,the distribution process and characteristics of the PC component,the distribution cost of the PC component and the vehicle scheduling algorithm are summarized and analyzed.The characteristics of the vehicle scheduling problem of the PC component distribution are determined and the particle swarm optimization algorithm is selected as the method to solve the model in this paper.In the case that a component factory provides distribution service for multiple construction sites,a cost optimization model satisfying the requirements of PC component distribution is established considering the constraints of the construction site on the quantity,type,load rate and time of components and the number and model of vehicles in the component factory.The cost model includes the transportation cost,the time cost of waiting for unloading and the penalty cost of late delivery.Then,some shortcomings of the particle swarm optimization algorithm were improved.Four standard test functions were used to test the performance of the improved particle swarm optimization algorithm,and it was verified that the solution accuracy and efficiency of the improved algorithm had been significantly improved.Finally,the standard particle swarm optimization algorithm and the improved particle swarm optimization algorithm were used to solve the model combined with the actual case data,and the solution results were compared.The comparison results show that the delivery cost obtained by the two algorithms is lower than the actual delivery cost,and the delivery cost and running speed obtained by the improved particle swarm optimization algorithm are better than the standard particle swarm optimization algorithm.The vehicle scheduling scheme with the lowest distribution cost is obtained,which can effectively reduce the distribution cost of the component factory and improve the management level and competitiveness of the component factory. |
