An agent-based simulation framework to evaluate urban logistics scheme

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Abstract

Inefficient urban freight transport has a negative impact on both livability and profit margins in the supply chain. Urban logistics shcemes, consisting of one or multiple governmental policies and company initiatives, attempt to address these problems. However, successful schemes are difficult to realize due to the divergent objectives of the agents involved in urban logistics. Traditional optimization techniques fall short when evaluating schemes, as they do not capture the required change in behavior of autonomous agents. To properly evaluate schemes, we develop an agent-based simulation framework that assesses the interaction between five types of autonomous agents. Compared to existing studies in this field, we contribute by (i) explicitly including company-driven initiatives, and (ii) adopting a supply chain-wide perspective. We illustrate the working of our framework by testing a number of schemes on a virtual network.
Original languageEnglish
Place of PublicationEindhoven, the Netherlands
PublisherTU Eindhoven, Research School for Operations Management and Logistics (BETA)
Number of pages16
Publication statusPublished - 2016

Publication series

NameBETA working papers
PublisherTU Eindhoven, Research School for Operations Management and Logistics (BETA
No.501

Keywords

  • METIS-321861
  • IR-104013

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  • Cite this

    van Heeswijk, W. J. A., Mes, M. R. K., & Schutten, J. M. J. (2016). An agent-based simulation framework to evaluate urban logistics scheme. (BETA working papers; No. 501). Eindhoven, the Netherlands: TU Eindhoven, Research School for Operations Management and Logistics (BETA).