DocumentCode :
1831432
Title :
An EMQ model with time-varying demand over the product life cycle
Author :
Chiu, Kuei-Chen ; Yeh, Chun-Wu ; Fang, Chih-Chiang
Author_Institution :
Dept. of Bus. Adm., Hsing Kuo Univ. of Manage., Taiwan
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1683
Lastpage :
1687
Abstract :
The Economic Manufacturing Quantity (EMQ) problems that appear in the literature assume that the demand rate is a constant and then attempt to find the optimal production cycle. The assumption may be appropriate for everyday commodities with a stable demand rate but it is not suitable for technology or fashion products because their demand rate is not constant in the product life cycle. The demand rate for such products life cycle will gradually increase over time, reach a peak, and then decline. Therefore, the optimal lengths of each planning production cycle would be not equal, which means that the traditional EMQ model is not applicable in such situations. For better cost management, an alternative EMQ model is thus proposed in this study. The proposed model uses the diffusion model proposed by Bass (1969) to predict product demand rates over product life cycles to minimize the related inventory cost based. In addition, this research also analyzes the effect of different demand characteristics upon planning product life cycles.
Keywords :
cost accounting; industrial economics; inventory management; product life cycle management; production planning; time-varying systems; EMQ model; cost management; demand characteristics; diffusion model; economic manufacturing quantity; inventory cost; optimal lengths; optimal production cycle; planning product life cycles; planning production cycle; product demand rates; time-varying demand; Biological system modeling; Marketing and sales; Mathematical model; Planning; Predictive models; Production; Time varying systems; Economic Manufacturing Quantity; Product Life Cycle; Time-varying Demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674598
Filename :
5674598
Link To Document :
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