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[42452] Artykuł:

Hybrid Solution Framework for Supply Chain Problems

Czasopismo: Distributed Computing and Artificial Intelligence, 11th International Conference Salamanca, Spain-Springer International Publishing   Tom: 290, Strony: 11-18
ISSN:  2194-5357
ISBN:  978-3-319-07593-8
Wydawca:  SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Opublikowano: 2014
Seria wydawnicza:  Advances in Intelligent Systems and Computing
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału
Liczba
punktów
Paweł Sitek orcid logoWEAiIKatedra Systemów Informatycznych *507.50  
Jarosław Wikarek orcid logoWEAiIKatedra Systemów Informatycznych *507.50  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 15
Klasyfikacja Web of Science: Proceedings Paper


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Keywords:

constraint logic programming  mathematical programming  optimization  supply chain management  hybrid methods 



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.