DocumentCode :
2226578
Title :
TOPSIS for solving multi-objective multi-product supplier selection problem under price breaks
Author :
Jadidi, Omid ; Hong, Tang Sai ; Firouzi, Fatemeh ; Ismail, Md Yusof
Author_Institution :
Dept. of Mech. & Manuf. Eng., Univ. Putra Malaysia (UPM), Malaysia
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1118
Lastpage :
1122
Abstract :
Supplier selection is a multi-criteria decision-making problem (MCDM) that is affected by quantitative and qualitative (conflicting) factors. For supplier selection problem, if suppliers offer quantity discounts and buyer wants to buy multiple products as well, this problem becomes more complicated. To solve the problem, an integration of technique for order preference by similarity to ideal solution (TOPSIS) and multi-product multi-objective mixed integer linear programming (MOMILP) is used to consider both tangible and intangible factors in choosing the best suppliers and define the optimum quantities among the selected suppliers. The problem includes the three objective functions: to maximize the total value of purchasing (TVP), and to minimize the total defect rate and total cost, while satisfying demand requirement and capacity constraints. In this paper, to solve the multi-objective model, TOPSIS and later a single objective function are proposed which can consider the relative importance of the three goals.
Keywords :
decision making; integer programming; linear programming; pricing; supply chain management; TOPSIS; mixed integer linear programming; multicriteria decision-making problem; multiobjective multiproduct supplier selection problem; price break; quantity discount; Aggregates; Context modeling; Costs; Decision making; Linear programming; Marketing and sales; Pricing; Procurement; Transportation; Virtual manufacturing; MCDM; MOMILP; Multi-product; Quantity discount; Supplier selection; TOPSIS;
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.2008.4738044
Filename :
4738044
Link To Document :
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