Papers by Author: Fu Cai Wan

Abstract: With the widely acception of extended producer responsibility system, reverse logistics has attracted more and more attention. For manufacturers, reverse logistics activities is not inseparable to the general forward logistics, and they constitute the closed-loop supply chain. Decision makers of enterprises need to control the new products inventory and the recovered materials inventory to make the enterprises get the maximum profit.In this paper,the inventory characteristics under the closed-loop supply chain be analyzed and a inventory model for a single repair period, many production period is proposed .On condition that the number of recovery is controlled by the recycling price and is equal in different cycles,the recovered products can be sold as new.A economic production quantity and recycling price can be solved to make the total cost of a single cycle lowest ,which provides a basis for business decisions.

Abstract: Node positioning technology in wireless sensor network plays an important role in the whole network, and a lot of scholars engage in this field. According to the background that wireless sensor network is applied in Three-Dimensional space, an improved algorithm is proposed in this paper. The algorithm makes the average distance of each hop more rational through choosing the external anchor nodes. After the achievement of the unknown nodes positioning, initial positioning location would be corrected in order to get a higher positioning accuracy. Simulation results show that the accuracy of the improved algorithm is 13% higher than the traditional DV-Hop algorithm.

Abstract: This paper analyzes characteristics of automated warehouse stocker picking operating process. Path optimization problem is considered as traveling salesman problem. The coordinates of picking points by calculating determine a stocker running route. The mathematical model of a path distance is built. And using the improved genetic algorithm solves the above problem. Finally, M-file program of stocker running path optimization is written and run in MATLAB. The simulation results that, in solving stocker path optimization problem, it can search for a shortest path by genetic algorithm. Thereby enhance the efficiency of automated warehouse system, increase greater benefits of the enterprise.

Abstract: A new approach that combines neural network and 0-1 programming was proposed. Based on the lifecycle analysis, the characteristics of new products can be divided into four categories with different benefit curves and parameters. A neural network is used to classify the new product and the 0-1 programming model is then developed and used to determine what products to be introduced into marketplace. Numerical example is given finally to show that this model is effective for firms.