Group Decision Making for Selection of Supplier Under Public Procurement

Abstract

The article deals with problem of group decision making for selection of supplier under public procurement. For the goal, a generalized algorithm for multi-attributes group decision-making is proposed. The distinguish feature of the described algorithm is consideration of knowledge and experience of each expert from the group by using of weighted coefficients. Simple additive weighting and weighted product model are modified to cope with the differences in experts’ knowledge and experience. The applicability of proposed group decision making algorithm is illustrated by using of new modified utility functions for simple additive weighting and weighted product model. The numerical testing considers a real-life problem for selection of the most preferable supplier of personal computers under a public procurement. The results demonstrate the flexibility of proposed approach when using a group of experts with different expertise.