Abstract
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 [1] 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.
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Campanella, G., Pereira, A., Ribeiro, R.A., Varela, M.L.R. (2012). Collaborative Dynamic Decision Making: A Case Study from B2B Supplier Selection. In: Hernández, J.E., Zarate, P., Dargam, F., Delibašić, B., Liu, S., Ribeiro, R. (eds) Decision Support Systems – Collaborative Models and Approaches in Real Environments. EWG-DSS 2011. Lecture Notes in Business Information Processing, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32191-7_7
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DOI: https://doi.org/10.1007/978-3-642-32191-7_7
Publisher Name: Springer, Berlin, Heidelberg
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