The Research On Ordering And Transshipment Policy Of Electric Energy Metering Center On The Restriction Of Service Level

With the rapid and stable development of the economy,all the demands for power resources increase year by year,which cause a vast demand for the electric energy measuring instruments.In current situations,the State Grid Corporation of China conduct Centralized bidding for electricity meter for 2-3 times a year,once a not intime supply of the critical components or a one-off distribution of the supplier for saving the delivery cost happens,both situation will lead to serious shortage.Rentently,the State Grid Corporation of China set high requirements for the service level-98% of request for electricity meter must be satisfied in three days in the urban area,that means a great amount of stock-out is not allowed.Under this condition,most of the Power Supply Bureau turn to increasing the amount of the ordering at the start to avoid the heavy punishment,which would cause a great waste of the inventory resource and capital.So how to optimize the inventory,reduce the waste of the cost and the imbalance between supply and demand under the limitation of service level is an urgent problem to be solved.First of all,taking optimization theory,newsvendor model and genetic algorithm as theoretical basis and research tools.Formulate the revenue function of CQ electric energy metering center and it's 12 subordinate customer centers under the restriction of service level in different lateral transshipment policies to discuss the revenue under Newsvendor Model,random lateral transshipment,near-by lateral transshipment,and designated lateral transshipment situations.The result shows that lateral transshipment can always take better revenue than Newsvendor Model in any transshipment policies,for that lateral transshipment is a way to share inventory between the customer centers,the substitution will reduce most of the fixed cost.Secondly,formulate the system cost function under the restriction of service level and apply optimization theory to optimize the total cost of the system,and then get the optimal order quantity under different lateral transshipment policies and probability for mutation and cross.Finally,conduct a case study by introducing the data of CQ electric energy metering center and it's 12 subordinate customer centers to the revenue function to discuss the optimal order quantity with the minimum cost.The results shows that the performance of designated lateral transshipment is the best,then near-by lateral transshipment,after that is random lateral transshipment Newsboy Model.The contribution and innovation in this paper are as follows:(1)take the transshipment policies-random lateral transshipment,near-by lateral transshipment,and designated lateral transshipment to the electric power company;(2)discuss the optimal ordering quanty of the three transshipment policies under the restriction of service,which provide meanful reference for the electric power company.