The problem of supplier selection can be easily modeled as a multiple-criteria decision making (MCDM) problem: businesses express their preferences with respect to suppliers, which can then be ranked and selected. This approach has two major pitfalls: first, it does not consider a dynamic scenario, in which suppliers and their ratings are constantly changing; second, it only addressed the problem from the point of view of a single business, and cannot be easily applied when considering more than one business. To overcome these problems, we introduce a method for supplier selection that builds upon the dynamic MCDM framework of  and, by means of a linear programming model, can be used in the case of multiple collaborating businesses planning their next batch of orders together.
|Title of host publication||In Decision Support Systems – Collaborative Models and Approaches in Real Environments|
|Place of Publication||Berlin Heidelberg|
|Publication status||Published - 1 Jan 2012|
|Name||Lecture Notes in Business Information Processing|
DEE Group Author, & Ribeiro, M. R. S. D. A. (2012). Collaborative Dynamic Decision Making: a Case Study from B2B Supplier Selection. In Springer (Ed.), In Decision Support Systems – Collaborative Models and Approaches in Real Environments (pp. 88-102). (Lecture Notes in Business Information Processing). Springer. http://dx.doi.org/10.1007/978-3-642-32191-7_7