DocumentCode
3441998
Title
An Optimal Inventory Model Based on Postponement Strategy: A Bi-Level Programming Approach
Author
Shouping, Gui ; Baozhuang, Niu ; Zhiyong, Zhang ; Xinghua, Li
Author_Institution
South China Univ. of Technol., Guangzhou
fYear
2007
fDate
23-25 May 2007
Firstpage
446
Lastpage
450
Abstract
In order to reduce the risk and cost, manufacturing enterprises turn to postponement strategy to meet differential demand of customers: this is helpful to enhance the customer service level, and this is also helpful to achieve the goal of maximizing the inventory profit. Under this assumption, inventory batch allotment shows new features, therefore, the paper proposes an optimal inventory model based on postponement strategy, which includes the framework model and the decision-making model. The framework model is firstly discussed, and then its efficiency is verified. Secondly, the decision-making model of inventory batch allotment is established with a bi-level programming approach. The decision-making model is calculated and verified using the investigation data, which is proved to be efficient to give reasonable allotment of supply chain inventory batch. It also provides an effective decision-making tool of supply chain coordination.
Keywords
cost reduction; decision support systems; inventory management; mathematical programming; risk management; supply chain management; bilevel programming; customer service; decision-making model; decision-making tool; differential customers demand; framework model; inventory batch allotment; inventory profit; manufacturing enterprises; optimal inventory model; postponement strategy; supply chain coordination; supply chain inventory batch; Cost function; Customer service; Decision making; Educational institutions; Graphical user interfaces; Lot sizing; Production; Supply chain management; Supply chains; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318448
Filename
4318448
Link To Document