Abstract
The paper presents application and implementation aspects of a hybrid approach to modeling and optimization for supply chain problems. Two environments of mathematical programming (MP) and constraint programming (CP) were integrated into Hybrid Solution Framework (HSF). The strengths of MP and CP, in which constraints are treated in a different way and different methods are implemented, were combined to use the strengths of both. The proposed approach is particularly important for the decision models in logistic and supply chain management, where an objective function and many discrete decision variables added up in multiple constraints.
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Sitek, P., Wikarek, J. (2014). Hybrid Solution Framework for Supply Chain Problems. In: Omatu, S., Bersini, H., Corchado, J., RodrÃguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_2
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DOI: https://doi.org/10.1007/978-3-319-07593-8_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07592-1
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