DocumentCode
2636325
Title
A Product Mix Problem Based on Maximization of the Total Profit and Reduction of Excessive Inventories Including Uncertainty
Author
Hasuike, Takashi ; Ishii, Hiroaki
Author_Institution
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Osaka
fYear
2008
fDate
18-20 June 2008
Firstpage
282
Lastpage
282
Abstract
This paper considers a product mix problem both maximizing the total future profit and reducing excessive inventories including uncertainty with respect to future profits and customers´ demands. Furthermore, since a decision maker has a goal with respect to the total future profit and each inventory of the product, in this paper, aspiration levels for them are also introduced. The proposal product mix problem is formulated as a multi-criteria programming problem considering maximizing all aspiration levels assumed to be fuzzy goals. Then, since each future return and customer´s demand are assumed to be random variables, this problem including randomness is basically formulated as a multi-criteria stochastic programming problem. Since it is hard to solve it analytically, the transformations into deterministic equivalent problems are introduced and the efficient solution methods are constructed.
Keywords
fuzzy set theory; inventory management; production planning; profitability; stochastic programming; aspiration level maximization; customer demand; decision making; deterministic equivalent problem; excessive inventory reduction; future profit; future return; fuzzy goal; multicriteria stochastic programming problem; product inventory; product mix problem; random variables; total profit maximization; Costs; Electric breakdown; Information analysis; Information science; Mathematical programming; Production planning; Proposals; Random variables; Stochastic processes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.80
Filename
4603471
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