Title :
Determination of Safety Stock for Power Enterprises Under Uncertainty
Author :
Ma, Lihong ; Lin, Ming
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
It is not easy to entirely avoid the uncertainty of supply problem. To solve the problem relays on setting up some necessary safety stocks. Safety stock is an effective management tool for protecting the enterprises against the uncertainty and it provides customers with the promised service level, but a higher safety stock level does increase the supply chain operating cost. Determination of safety stock plays a crucial role in supply chain management. In this paper, we construct a model for a coal-fired power enterprise in a two-stage supply chain system under the background of uncertainty. We show how the variance in demand during lead time can be estimated and present a model for determination of optimal service level with a marginal analysis method, then set up a model for determination of optimal safety stock. Finally, a numerical example is given to illustrate the application of this model.
Keywords :
coal; customer services; fuel processing industries; stock control; supply and demand; supply chain management; coal-fired power enterprise; customer service; demand variance; management tool; marginal analysis; optimal service level; safety stock; supply chain management; supply chain operating cost; supply chain system; Computer science; Mathematical model; Power generation; Power generation economics; Power system modeling; Safety; Stochastic processes; Supply chain management; Supply chains; Uncertainty; Coal-Fired Power Enterprise; Lead Time; Optimal Service Level; Safety Stock; Supply Chain;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.109