Research On Optimization Of Prefabricated Precast Concrete Components Distribution Cost

In recent years, industrialization in construction industry has been promoted continuously, this new model of the prefabricated construction provides a new developing opportunity for PC compone nts producers. Compared to traditional logistics distribution, the distribution of PC components has higher frequency of deliveries and strict time constraints, which makes the distribution cost take up a large proportion of total enterprise logistics cost. Presently, the distribution of PC components lacks of reasonable management and theoretical researches. Whether the vehicle routing is logically programmed, directly determines the distribution quality, cost and efficiency. Therefore, studying the optimization of distribution cost can provide important theoretical and practical value for the distribution management from the perspective of vehicle routing.Firstly, from the view of cost optimization content, the present researches of logistics cost optimization are analyzed. Combining with the characteristics of PC components distribution, basic theories of the logistics cost and vehicle routing problem with time windows are introduced. Then, based on foundmental distribution processes, the optimization model of PC components cost distribution is established, which is for one to many systerm of certain demands and limited alternative vehicle. Considering time cost caused by waiting for unloading or arriving late, the optimization goal is composed of three parts: delivering cost, cost for waiting to unload and punishment cost for arriving late for time window constraints. In combination with the established optimization model, an improved strategy of adapted visual and step(AAFSA) is put forward to improve the searching performance o n the basis of the study of artificial fish swarm algorithm theories(AFSA). Four standard test functions are tested by the improved algorithm. Results prove that convergence speed and accuracy of the adapted artificial fish swarm algorithm(AAFSA) has been further improved. And the detailed steps of the algorithm to solve the model are listed.Finally, the optimization model for distribution cost is applied to the actual case by calculating it with AFSA and AAFSA. Results proves that the feasibility and validity of AAFSA. The study has provides a theoretical support for the future logistics management of the distribution cost of prefabricated PC components.