Selecting appropriate suppliers can significantly reduce costs and increase the competitiveness of organizations. On the other hand, in today’s competitive environments, high speed of changes increases uncertainty and ambiguity in decision making. Considering these two ...
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Selecting appropriate suppliers can significantly reduce costs and increase the competitiveness of organizations. On the other hand, in today’s competitive environments, high speed of changes increases uncertainty and ambiguity in decision making. Considering these two important issues, in this research, fuzzy-robust approach was is used to increase certainty and remove ambiguity in planning of the supply parts for two products of Iran Khodro Company (Tehran, Iran). Due to high number of parts were in any product, only the important parts were selected for this survey. Model of supply of these parts (was designed) in the form of a multi-objective linear programming model. Because of the uncertainty of some parameters of the model, these parameters are considered as random variables but there is no exact value for them. In order to remove concern and ambiguity about these parameters regarding the length (half-length) of their intervals, with help new approach (fuzzy-robust), the model was converted into fuzzy-robust model to achieve dependable solutions. Finally, the quality of solutions was analyzed by simulation technique.