DocumentCode :
3516709
Title :
The Optimization Model for Order Quantity Allocation with Fuzzy Demand and Price Discount
Author :
Zhi-min, Guan ; Bao-gang, Zhou
Author_Institution :
Sch. of Bus. Adm., Northeastern Univ.
fYear :
2006
fDate :
5-7 Oct. 2006
Firstpage :
397
Lastpage :
401
Abstract :
The vendor selection and order quantity allocation problem with fuzzy demand and price discount is formulated as a multi-objective mixed-integer fuzzy programming model. The proposed model has the following characteristics: deterministic and fuzz constraints, and the assumption of fuzzy demand and price discount are expressed by using constraint equations. According to the special features of the model, appropriate solution strategy is proposed. It involves three steps: (1) membership function for every fuzzy objective and constraint is set up; (2) by means of max-min operator, the multi-objective mixed-integer fuzzy programming model is converted into several equivalent single-objective linear programming model; (3) the optimal solution for order quantity allocation problem is derived based on two-phase approach. An application example was also given for testing the feasibility and effectiveness of the proposed method
Keywords :
fuzzy set theory; integer programming; linear programming; order processing; pricing; purchasing; supply chains; constraint equation; fuzzy demand; linear programming; membership function; multiobjective mixed-integer fuzzy programming; optimization model; order quantity allocation; price discount; vendor selection; Costs; Equations; Functional programming; Fuzzy sets; Linear programming; Raw materials; Stochastic processes; Supply chains; Testing; Transportation; Fuzzy demand; Mixed-integer fuzzy programming; Order quantity allocation; Price discount; Two-phase approach; Vendor selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on
Conference_Location :
Lille
Print_ISBN :
7-5603-2355-3
Type :
conf
DOI :
10.1109/ICMSE.2006.313859
Filename :
4104931
Link To Document :
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