• 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