DocumentCode
3585534
Title
A Robust Simulation for EOQ Model with Exponential Distributed Demand
Author
Yang Yaqing ; Ma Yizhong ; Zhong Jianlan ; Zhu Lianyan
Author_Institution
Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China
Volume
2
fYear
2014
Firstpage
486
Lastpage
489
Abstract
With the rapid development of economic and technology, the demand of market changes in a fluctuating way. Many researches use statistical methods to describe the demand rate while in economic order quantity (EOQ) optimization. Exponential distribution has been widely recognized as an effective model for describing the demand rate especially for new items and deteriorating items. However, in most simulation optimization for EOQ, the distribution of the demand rate is set as normal distributed. Based on the assumption that the demand rate follows exponential distribution, we conduct robust simulation for EOQ model by incorporating Kriging model and Taguchi´s robust view and then estimate the pareto frontier. The result suggests the robust optimization requires different order quantity from that of classic EOQ.
Keywords
Pareto distribution; Taguchi methods; economics; exponential distribution; normal distribution; optimisation; statistical analysis; EOQ model; EOQ optimization; Kriging model; Pareto frontier; Taguchi robust view; deteriorating items; economic order quantity optimization; exponential distributed demand; market demand; new items; normal distribution; statistical methods; Computational modeling; Data models; Economics; Optimization; Robustness; Standards; EOQ model; exponential distribution; kriging model; robust simulation; the demand rate;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN
978-1-4799-7004-9
Type
conf
DOI
10.1109/ISCID.2014.230
Filename
7082036
Link To Document