| Nowadays, the competition among enterprises has been upgraded to the competition between the supply chains. Because of its limited size and limited resources, a business cannot play the leading role in all aspects from the raw materials supply, production, and distribution to sales. Private enterprises, foreign-funded enterprises and state-owned enterprises are all so. Under the "Five set Three Big" policy system which is put forward by the State Grid Corporation, the state clearly pointed out that we should establish a sound supply chain management system of the grid material. Measurement center, as a province-wide distribution branch for power measuring instruments, is the leader of power measuring instruments’ supply chain distribution system. So building measurement center-cities two-level stock distribution system, using the systematic idea of multi-echelon inventory to solve the order point, order cycle and order quantity in inventory problem, can help the Metrology Center get rid of high inventory levels and long turnaround time.This paper studies the energy measuring instruments’ inventory optimization problems based on multi-level inventory management. First, by combing supply chain management theory and the theory of multi-echelon inventory, point out the power measuring instruments’ two-level stock distribution system. Second, based on the three questions that should be considered while modeling, build multi-target optimization model for the energy measuring instruments’two-level stock distribution system. The goal of the model is to minimize inventory costs per unit time and optimize the inventory turnaround time. Again, according to the characteristics of multi-objective model, analyze algorithm and design genetic algorithm. Finally, do empirical research by selecting the Class A and Class C power measuring instruments and use genetic algorithm to get the Pareto solution while the Metrology Center take the continuity inventory policy and local companies take the periodic inventory policy at the distribution center and city. The Pareto solution can be used by decision-maker according to actual situation.The results of this study show that inventory costs of the system and inventory turnaround time is a contradiction optimization goal, whenever inventory turnaround time is reduced, the total cost of inventory in the system will rise. Managers need to weigh between turnaround time and inventory costs according to the actual situation to design appropriate inventory control program. From the empirical research data, we can see that comparing to Class C appliances, the Class A appliances’inventory turnover time is shorter and inventory costs is higher, so the Class A appliances should be the focus among the three classes’the energy measuring instruments’ inventory. |
