Research On Collaborative Replenishment Strategy Of Computer Components Of Company L

In recent years, the computer market is in a state of depression. Thus, how to maintain the competitiveness and efficiency of enterprises under current circumstance has become the main problem faced by all the PC makers. The studying object of this paper is a large computer production company, called Company L, including two main business segments, B2B and B2C. Compared with the latter, the former now has a problem that its on-time delivery rate of some product categories is relatively low because of the constant stock out of some computer components.Therefore, firstly, this paper fully analyzes the advantages and disadvantages of existing replenishment strategy and the features of components which are easily out of stock. And then, this paper designs a collaborative replenishment strategy to solve the replenishment problems of the components in the perspective of supply chain. This inventory management method can not only improve the on-time delivery rate of this kind of computers, but improve the overall competitiveness and the service level. The details are as follows:(1) This paper first introduces the general information of Company L and its B2B model in which products are made to order. And the paper analyzes the existing replenishment strategy and its advantages and disadvantages. On the basis of the above analysis, this paper, from the point of computer order’s on-time delivery rate in the B2B, analyzes the features of components which are easily out of stock and the reasons for the frequent shortage.(2) This paper analyzes the reason why the collaborative replenishment is suitable for the Company L, in the view of the features of the components which are easily out of stock and the current situation of Company L. Based on the above analysis, this paper establishes a collaborative replenishment model for the components which are easily out of stock. In order to measure the effect of implementation of the replenishment strategy by cost and on-time delivery rate, this paper constructs a logic model that can reveal the relationship between the replenishment strategy and its cost and the on-time delivery rate of orders. On this basis, this paper establishes a simulation optimization model using Crystal Ball tool.(3) Taking M computer component whose demand is divided into rush seasons and off seasons as an example, this paper obtains its optimal replenishment strategy under different constraint conditions of the on-time delivery rates using simulation technique and measures. And then, this paper analyzes deeply the replenishment strategy from the point of cost and on-time delivery rate and carries on the practical analysis according to the results.(4) The sensitivity analysis is carried out from two aspects, which are the change of customer demand and the change of customer request delivery time, to test the robustness of the optimal replenishment strategy in the changing market environment.(5) Based on the above research, this paper analyzes the effect of the change of the replenishment cycle "T" on on-time delivery rate, and how does "T" change belong the change of demand.The results show that the optimal replenishment strategy can well solve the problem of high order delay-rate in delivery. In addition, the replenishment model shows strong robustness under the environment that market demand and customer’s request are been changing.Although the collaborative replenishment strategy proposed in this paper is only a supplementary means of the current replenishment strategy to solve the delay problem. But in practice, the collaborative replenishment strategy of this paper will still meet various challenges. Therefore, at the end of this paper, the implementation suggestions are given about the replenishment strategy.