Hybrid Solution Framework for Supply Chain Problems
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.
Keywordsconstraint logic programming mathematical programming optimization supply chain management hybrid methods
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- 1.Apt, K., Wallace, M.: Constraint Logic Programming using Eclipse. Cambridge University Press (2006)Google Scholar
- 2.Schrijver, A.: Theory of Linear and Integer Programming. John Wiley & Sons (1998) ISBN 0-471-98232-6Google Scholar
- 5.Bockmayr, A., Kasper, T.: Branch-and-Infer: A Framework for Combining CP and IP. In: Constraint and Integer Programming. Operations Research/Computer Science Interfaces Series, vol. 27, pp. 59–87 (2004)Google Scholar
- 8.Sitek, P., Wikarek, J.: Cost optimization of supply chain with multimodal transport. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1111–1118 (2012)Google Scholar
- 9.Pawlewski, P.: Multimodal Approach to Model and Design Supply Chain. In: Proceedings of IFAC MIM Conference, St. Petersburg (2013)Google Scholar
- 12.Eclipse – The Eclipse Foundation open source community website, http://www.eclipse.org
- 13.LINDO Systems – Optimization Software: Integer Programming, Linear Programming, Nonlinear, http://www.lindo.com