DocumentCode :
2613102
Title :
A Geometric Programming Approach for a Nonlinear Joint Production-Marketing Problem
Author :
Nezami, Farnaz Ghazi ; Sadjadi, S.J. ; Aryanezhad, M.B.
Author_Institution :
Dept. of Ind. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2009
fDate :
17-20 April 2009
Firstpage :
308
Lastpage :
312
Abstract :
This paper presents a nonlinear model of a joint production - marketing problem intending at determining the unit selling price, unit marketing expenditure and economic production quantity per production cycle simultaneously. The proposed model involves some cost functions such as market share loss cost which is not regarded in similar models in the related literature. The model is a signomial geometric programming model with 4 degrees of difficulty which will be transformed to a standard posynomial geometric one, using the concepts behind the relations between geometric and arithmetic means. This transformed model is solved by an iterative algorithmic procedure. Eventually the presented procedure is illustrated by numerical examples.
Keywords :
economics; geometric programming; industrial economics; marketing; pricing; arithmetic means; economic production quantity per production cycle; geometric means; geometric programming approach; iterative algorithmic procedure; market share loss cost; nonlinear joint production-marketing problem; nonlinear model; signomial geometric programming model; standard posynomial geometry; unit marketing expenditure; unit selling price; Computer industry; Computer science; Cost function; Genetic programming; Industrial engineering; Paper technology; Production; Solid modeling; Springs; Virtual manufacturing; Geometric Programming; Marketing; Nonlinear;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3653-8
Type :
conf
DOI :
10.1109/IACSIT-SC.2009.9
Filename :
5169363
Link To Document :
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