Journal of Northeastern University ›› 2012, Vol. 33 ›› Issue (8): 1198-1201.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Optimized model for order quantity allocation of multi-product purchase with fuzzy demand

Guan, Zhi-Min (1); Wu, Hao (1)   

  1. (1) School of Business Administration, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Guan, Z.-M.
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Abstract: Being taken fuzzy demand and price discount into account, a fuzzy multi-objective mixed-integer programming model was proposed for order quantity allocation of multi-product purchase. Based on the features of the model, a solution strategy was presented as follows. First, the fuzzy objectives and constraints were clarified via their membership functions, and then the fuzzy multi-objective mixed-integer programming model was converted into several equivalent single-objective linear programming models by means of the max-min operators. An optimal solution to the order quantity allocation problem was derived using the two-phase approach. An application example was carried out, and the results verified the feasibility and effectiveness of the proposed method.

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