Fuzzy decision making for multiple sourcing and order allocation with price discounts


Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014, İstanbul, Turkey, 14 - 16 October 2014, pp.120-133 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.120-133
  • Keywords: Multiple objective decision making, Supply chain management
  • Gazi University Affiliated: Yes


In today's economic market, reliability is a key ingredient to a successful supply chain. The sourcing from multiple suppliers and the order allocation among them are strategic decisions in developing a reliable supply chain. In this study a multiple sourcing and order allocation problem with price discounts is considered as a multiple objective linear programming problem with fuzzy parameters. The considered three objective functions are minimization of the total monetary cost, the total number of rejected units and the total number of late deliveries respectively. To solve the problem, the most appropriate fuzzy mathematical programming approach is adopted for the presented mathematical model. The efficiency of the model is illustrated by a numerical example.