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