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[40032] Artykuł:

Cost optimization of supply chain with multimodal transport

Czasopismo: Federated Conference on Computer Science and Information Systems (FedCSIS)   Strony: 1111-1118
ISBN:  978-1-4673-0708-6
Wydawca:  IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Opublikowano: 2012
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału
Liczba
punktów
Paweł Sitek orcid logoWEAiIKatedra Systemów Sterowania i Zarządzania *****505.00  
Jarosław Wikarek orcid logoWEAiIKatedra Systemów Sterowania i Zarządzania *****505.00  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 10
Klasyfikacja Web of Science: Proceedings Paper


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Abstract:

The article presents the problem of supply chain optimization from the perspective of a multimodal logistics provider and includes a mathematical model of multilevel cost optimization in the form of MILP (Mixed Integer Linear Programming). The costs of production, transport, distribution and environmental protection were adopted as optimization criteria. Timing, volume, capacity and mode of transport were also taken into account. The model was implemented in the LINGO ver.12 package. The implementation details, the basics of LINGO as well as the results of the numerical tests are presented and discussed. The numerical experiments were carried out using sample data to show the possibilities of practical decision support and optimization of the supply chain.