A Hybrid Supplier Selection Model Considering Non-Homogeneous Group Decision Makers
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This research aims at developing a hybrid model for non-homogeneous group decision making in the supplier selection process to select a supplier that best satisfies the purchaser. The model uses the analytical hierarchy process (AHP) in determining the influence weightings of company function department (CFD), then the house of quality (HOQ), as an essential part of the quality function deployment (QFD) concept, is applied to transfer company function department (CFD) requirements to suppliers' attributes. Finally, the Linguistic Ordered Weighted Averaging (LOWA) operator is applied for aggregating the linguistic opinions of the non-homogeneous group. The importance weightings of CFD requirements, criteria and final suppliers score are calculated by applying a mathematical algorithm.
2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2016)
Infrastructure Engineering and Asset Management