<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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. The numerical experiments were carried out using sample data to show the possibilities of practical decision support and supply chain optimization.</p></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. The numerical experiments were carried out using sample data to show the possibilities of practical decision support and supply chain optimization.

Optimization Model for Multimodal Transportation Networks Based on Supply Chain

Faculty of Electrical Engineering, Automatics and Computer Science Kielce University of Technology, Kielce, Poland

Foundations of Management

{"article-title":"Optimization Model for Multimodal Transportation Networks Based on Supply Chain"}

The article presents the problem of supply chain optimization from the perspective of a multimodal logistics provider and includes a mathematical model of...

Optimization Model for Multimodal Transportation Networks Based on Supply Chain

Published Online: Apr 18, 2013

Page range: 77 - 96

DOI: https://doi.org/10.2478/fman-2013-0012

This content is open access.