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
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