Collaborative dynamic decision making: a case study from B2B supplier selection

• Main Author: Campanella, G.
• Publication Date: 2012
• Other Authors: Pereira, Alfredo F., Ribeiro, R. A., Varela, Maria Leonilde Rocha
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/1822/42947
• topic: Ciências Sociais::Psicologia; Engenharia e Tecnologia::Outras Engenharias e Tecnologias

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 Campanella and Ribeiro [1] and, by means of a linear programming model, can be used in the case of multiple collaborating businesses plan- ning their next batch of orders together.