An agent-based simulation framework to evaluate urban logistics schemes

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Abstract

Inefficient urban freight transport has a negative impact on both livability in cities and profit margins in the supply chain. Urban logistics schemes, consisting of 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
Title of host publicationComputational Logistics
Subtitle of host publication7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings
EditorsAna Paias, Mario Ruthmair, Stefan Voß
Place of PublicationCham
PublisherSpringer
Pages369-383
ISBN (Electronic)978-3-319-44896-1
ISBN (Print)978-3-319-44896-1
DOIs
Publication statusPublished - 7 Sep 2016
Event7th International Conference on Computational Logistics, ICCL 2016 - Lisbon, Portugal
Duration: 7 Sep 20169 Sep 2016
Conference number: 7

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9855
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computational Logistics, ICCL 2016
Abbreviated titleICCL
CountryPortugal
CityLisbon
Period7/09/169/09/16

Fingerprint

Autonomous agents
Supply chains
Logistics
Industry
Profitability
Testing

Keywords

  • IR-101809
  • METIS-318327

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 schemes. In A. Paias, M. Ruthmair, & S. Voß (Eds.), Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings (pp. 369-383). (Lecture Notes in Computer Science; Vol. 9855). Cham: Springer. https://doi.org/10.1007/978-3-319-44896-1_24
van Heeswijk, W.J.A. ; Mes, Martijn R.K. ; Schutten, Johannes M.J. / An agent-based simulation framework to evaluate urban logistics schemes. Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings. editor / Ana Paias ; Mario Ruthmair ; Stefan Voß. Cham : Springer, 2016. pp. 369-383 (Lecture Notes in Computer Science).
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abstract = "Inefficient urban freight transport has a negative impact on both livability in cities and profit margins in the supply chain. Urban logistics schemes, consisting of 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.",
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van Heeswijk, WJA, Mes, MRK & Schutten, JMJ 2016, An agent-based simulation framework to evaluate urban logistics schemes. in A Paias, M Ruthmair & S Voß (eds), Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings. Lecture Notes in Computer Science, vol. 9855, Springer, Cham, pp. 369-383, 7th International Conference on Computational Logistics, ICCL 2016, Lisbon, Portugal, 7/09/16. https://doi.org/10.1007/978-3-319-44896-1_24

An agent-based simulation framework to evaluate urban logistics schemes. / van Heeswijk, W.J.A.; Mes, Martijn R.K.; Schutten, Johannes M.J.

Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings. ed. / Ana Paias; Mario Ruthmair; Stefan Voß. Cham : Springer, 2016. p. 369-383 (Lecture Notes in Computer Science; Vol. 9855).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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N2 - Inefficient urban freight transport has a negative impact on both livability in cities and profit margins in the supply chain. Urban logistics schemes, consisting of 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.

AB - Inefficient urban freight transport has a negative impact on both livability in cities and profit margins in the supply chain. Urban logistics schemes, consisting of 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.

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van Heeswijk WJA, Mes MRK, Schutten JMJ. An agent-based simulation framework to evaluate urban logistics schemes. In Paias A, Ruthmair M, Voß S, editors, Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings. Cham: Springer. 2016. p. 369-383. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-44896-1_24