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[51040] Artykuł:

Modeling and Solving the Soft Constraints for Supply Chain Problems Using the Hybrid Approach

Czasopismo: Distributed Computing and Artificial Intelligence   Tom: 474, Strony: 495-503
ISSN:  2194-5357
ISBN:  978-3-319-40162-1
Wydawca:  SPRINGER INT PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Opublikowano: 2016
Seria wydawnicza:  Advances in Intelligent Systems and Computing
 
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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:

Soft constrains  Constraint logic programming  Optimization  Mathematical programming  Supply Chain 



Abstract:

Many real-life problems in Supply Chain (SC) are over-constrained. Insufficient resources and time requirements result in an inability to all constraints. In some cases, their fulfillment requires very intensive computing. One way to overcome these difficulties is to soften some of the constraints. Natural environment for the modeling and solving of problems with constraints is constraint programming (CP), which is, however, ineffective on optimization problems and constraints containing a sum of many decision variables. This is when the idea to hybridize CP and other environments originated. The article presents the concept of modeling and solving soft constraints in SC problems using the hybrid approach. The illustrative example provided in the paper illustrates effectiveness and possibilities of this approach.