DocumentCode :
2226597
Title :
A special discount strategy for supplier selection and order allocation
Author :
Jadidi, Omid ; Hong, Tang Sai ; Firouzi, Fatemeh ; Yusuff, Rosnah Binti Mohd ; Ismail, Md Yusof
Author_Institution :
Dept. of Mech. & Manuf. Eng., Univ. Putra Malaysia, Serdang, Malaysia
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1123
Lastpage :
1127
Abstract :
In this paper, we consider a special discount where: (1) the price breaks depend on the size of the order quantities, (2) independent products¿ sales volume affect the prices and discounts of the other products and (3) all products must be sold as a bundle. In this circumstance, which the buyer wants to buy multi-product and suppliers also offer the special discount, the problem becomes more complicated. To formulate the problem, multi-objective mixed integer linear programming (MOMILP) is used to define the optimum quantities among the selected suppliers. The problem includes the three objective functions: to minimize the inverse Total Value of Purchasing (TVP), the total cost and total defect rate, while satisfying capacity and demand requirement constraints. In order to solve the model, a single objective function is used that considers relative importance of the goals. A numerical example is given to illustrate how the multi-objective model is applied.
Keywords :
integer programming; linear programming; pricing; purchasing; retailing; supply and demand; demand requirement constraint; inverse total value of purchasing; multiobjective mixed integer linear programming; multiproduct buying; order allocation; product price; special discount strategy; supplier selection; Aggregates; Cost function; Decision making; Linear programming; Marketing and sales; Mixed integer linear programming; Pricing; Procurement; Pulp manufacturing; Transportation; MOMILP; Multi-product; Relative importance of the objectives; Supplier selection; special discount;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4738045
Filename :
4738045
Link To Document :
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