DocumentCode
2612421
Title
A two-commodity deteriorating inventory model with price-dependent demand
Author
Feng, Y. ; Cai, X.Q. ; Tu, F.S.
Author_Institution
Nankai Univ., Tianjin
fYear
2007
fDate
2-4 Dec. 2007
Firstpage
1589
Lastpage
1593
Abstract
Recently, inventory models considering deteriorating items have attracted much more attention in that almost all commodities in real life deteriorate over time. This study deals with a two-commodity deteriorating inventory model when the demand of each commodity depends linearly on the selling prices of both two commodities. Deterioration rate of each commodity is assumed to be time-proportional and the time to deterioration follows a two-parameter Weibull distribution. The objective of this study is to find the joint optimal pricing strategies and replenishment policies to maximize the total average net profit in a replenishment cycle. This problem can be finally formulated as a nonlinear programming and the optimal solution is proved to exist. Solution procedure and algorithm of searching for the optimal solution are developed in detail. A numerical example is given at last which illustrates the results of the model. The optimal solutions and some useful curves are obtained by simulating with Matlab 7.0.
Keywords
Weibull distribution; inventory management; nonlinear programming; pricing; sales management; Matlab; inventory model; nonlinear programming; optimal pricing strategies; price-dependent demand; replenishment policies; selling prices; two-commodity deteriorating item; two-parameter Weibull distribution; Automation; Cost function; Educational institutions; Mathematical model; Modeling; Pricing; Research and development management; Systems engineering and theory; Weibull distribution; Deteriorating Inventory model; Price-dependent demand; Two-commodity; Weibull distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1529-8
Electronic_ISBN
978-1-4244-1529-8
Type
conf
DOI
10.1109/IEEM.2007.4419460
Filename
4419460
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