Abstract
| Original language | English |
|---|---|
| Place of Publication | Eindhoven, the Netherlands |
| Publisher | TU Eindhoven, Research School for Operations Management and Logistics (BETA) |
| Number of pages | 16 |
| Publication status | Published - 2016 |
Publication series
| Name | BETA working papers |
|---|---|
| Publisher | TU Eindhoven, Research School for Operations Management and Logistics (BETA |
| No. | 501 |
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Keywords
- METIS-321861
- IR-104013
Cite this
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An agent-based simulation framework to evaluate urban logistics scheme. / van Heeswijk, W.J.A.; Mes, Martijn R.K.; Schutten, Johannes M.J.
Eindhoven, the Netherlands : TU Eindhoven, Research School for Operations Management and Logistics (BETA), 2016. 16 p. (BETA working papers; No. 501).Research output: Book/Report › Report › Professional
TY - BOOK
T1 - An agent-based simulation framework to evaluate urban logistics scheme
AU - van Heeswijk, W.J.A.
AU - Mes, Martijn R.K.
AU - Schutten, Johannes M.J.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - METIS-321861
KW - IR-104013
M3 - Report
T3 - BETA working papers
BT - An agent-based simulation framework to evaluate urban logistics scheme
PB - TU Eindhoven, Research School for Operations Management and Logistics (BETA)
CY - Eindhoven, the Netherlands
ER -