PL EN


2013 | 20 | 37-48
Article title

Integrated Supply Chain Optimization Model Using Mixed Integer Linear Programming

Content
Title variants
Languages of publication
EN
Abstracts
EN
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.
Publisher

Year
Volume
20
Pages
37-48
Physical description
Contributors
author
  • Politechnika Świętokrzyska w Kielcach
  • Politechnika Świętokrzyska w Kielcach
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.mhp-640de792-8ce9-42f9-a3f8-ef20c42db866
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