Abstract
The paper deals with a collaborative supply chain, where actors use Material Requirement Planning (MRP) with uncertain demands. The demand uncertainty is modeled by a scenario set containing all possible demand realizations. Three scenario based uncertainty representations are examined. The min-max and the Hurwicz criterion and the ordered weighted averaging aggregation(OWA) are adopted to choose a best production or procurement plan under the assumed uncertainty models. Efficient solution methods for finding optimal plans with respect to each optimization criterion are provided.
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Guillaume, R., Zieliński, P. (2012). Decision Making under Scenario Uncertainty in a Requirement Planning. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_12
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DOI: https://doi.org/10.1007/978-3-642-31724-8_12
Publisher Name: Springer, Berlin, Heidelberg
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