• 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