Information integration approach to vendor selection group decision making under multiple criteria

Abstract

Vendor selection is a vital issue for compgaoanies in supply chains. In practice it is usually made by a group of decision makers according to multiple criteria. However, almost all the vendor selection models published were based on single-person decision-making and laid less emphasis on ordinal data. An information integration approach based on multi-criteria group decision-making (MCGDM) is developed for vendor selection with ordinal preferences of alternatives given by multiple decision makers in respect to each criteria considered. A 0-1 programming model considering the weights of the criteria and the decision makers under every criteria was proposed to obtain the integrated rankings of the alternatives for the group. An illustrative case shows the proposed method is effective and simple in computation. This study extends Bernardo's method for multi-criteria decision-making to MCGDM. © 2009 Springer Berlin Heidelberg.