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[41402] Artykuł:

Integrated Supply Chain Optimization Model Using Mixed Integer Linear Programming

Czasopismo: Logistics and Transport   Zeszyt: 4, Strony: 37-48
ISSN:  1734-2015
Opublikowano: 2013
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału
Liczba
punktów
Paweł Sitek orcid logoWEAiIKatedra Systemów Informatycznych *503.50  
Jarosław Wikarek orcid logoWEAiIKatedra Systemów Informatycznych *503.50  

Grupa MNiSW:  Publikacja w recenzowanym czasopiśmie wymienionym w wykazie ministra MNiSzW (część B)
Punkty MNiSW: 7


Web of Science LogoYADDA/CEON    
Keywords:

discrete optimization  supply chain management  multimodal transportation  decision support 



Abstract:

This article presents an integrated approach to optimize the different functions in a supply chain on strategic tactical and operational levels. The integrated supply chain model has been formulated as a cost minimization problem 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 package. The implementation model and 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.