The Optimization Research Of Wenzhou Z Concrete Co.,LTD. Product Delivery Strategy

The commercial concrete industry is the backbone industry of the national economic and construction,but nowadays,the actual status of this industry is that it’s difficult for enterprises to survive because of the intense market competitions and high cost.Wenzhou Z comcrete co.,LTD., is also facing this situation in the industry.Like the other concrete enterprises,a large proportion of the Z company’s cost comes from the product delivery.Because of the lack of scientific and reasonable delivery strategy, the company have failed to schedule the vehicles efficiently so that it do not play a due delivery capacity in the daily delivery business. And it results in high delivery cost and less customer’s satisfaction of the company.So,there is practual significance in improving the company’s market competitiveness so as to study how to optimize the company’s product delivery strategy for reducing delivery cost and ensuring the customer’s satisfaction at the same time.This paper takes the product delivery strategy of Wenzhou Z concrete co.,LTD.,as the research object with the methods such as literature research method, simulation method,interdisciplinary method and so on.In this paper,it expounds the background,content and significance of the research of the Z company’s delivery strategy and makes the research purpose clear.Then this paper analyses the situation of the Z company’s product delivery and finds out that there is a problem what cause the high delivery cost and the low vechicle resources utilization rate on the basis of the analysis of the product delivery’s characteristics and influential factors.It also establishes a product delivery mathematic model and puts forward a optimized concrete truck’s scheduling strategy which combines the static and dynamic vehicle scheduling.Besides, the author analyses the characteristics and operation process of genetic algorithm, illustrates its effectiveness for the similar problems, and solves the static product delivery optimization scheme successfully by using the genetic algorithm combined with computer simulation and pareto optimality boundary method. Then,this article introduces the vehicle information monitoring system in detail and set up a dynamic hierarchical vehicle scheduling mechanism based on this system. Combined with the static optimization scheme, it will make the vehicle scheduling more accurate, flexible and efficient. Finally,with the cost-benefit analysis,it confirms that it’s feasible for implementing this product delivery strategy.The product delivery optimization strategy designed by this paper includes static and dynamic content. In the static aspect of the strategy, it establishes a mathematic model after analysing the process of the product’s delivery. Then it uses the genetic algorithm and the technology of computer simulation to solve the model for the purpose that can reduce the vehicle waiting time as well as the customer waiting time. And then it obtains a group of delivery service sequence and time schedule,by which the decision maker can make a selection according to company’s needs. In the dynamic aspect of the strategy, it sets up vehicle information monitoring system to master the concrete trucks’ and customers’ real-time dynamic information.At the same time, with dynamic hierarchical vehicle scheduling mechanism,the dispatcher would be able to take some dynamic adjustment measures during the work of executing the static delivery scheme. Finally,with the sampling and analysis on the real data of the Wenzhou Z concrete co.,LTD.,this article comfirms the conclusion that it can improves the utilization rate of vehicle resources, reduces the delivery cost and ensures the quality of delivery service by using the product delivery optimization strategy.And the benefit of this strategy is great more than its cost.It is realistic and feasible.