Impacts of auction settings on the performance of truckload transportation marketplaces

Miguel Andres Figliozzi; Hani S. Mahmassani; Patrick Jaillet

doi:10.3141/1906-11

Impacts of auction settings on the performance of truckload transportation marketplaces

Miguel Andres Figliozzi^*, Hani S. Mahmassani, Patrick Jaillet

^*Corresponding author for this work

Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

The performance of different sequential auction settings for the procurement of truckload services is compared. In this environment, demands arrive randomly over time and are described by pickup and delivery locations and hard time windows. When loads arrive, carriers compete for their transport. Different auction and information disclosure settings are studied. Learning methodologies are discussed and analyzed. Simulation results are presented.

Original language	English (US)
Pages (from-to)	89-96
Number of pages	8
Journal	Transportation Research Record
Issue number	1906
DOIs	https://doi.org/10.3141/1906-11
State	Published - 2005

ASJC Scopus subject areas

Civil and Structural Engineering
Mechanical Engineering

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10.3141/1906-11

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abstract = "The performance of different sequential auction settings for the procurement of truckload services is compared. In this environment, demands arrive randomly over time and are described by pickup and delivery locations and hard time windows. When loads arrive, carriers compete for their transport. Different auction and information disclosure settings are studied. Learning methodologies are discussed and analyzed. Simulation results are presented.",

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AB - The performance of different sequential auction settings for the procurement of truckload services is compared. In this environment, demands arrive randomly over time and are described by pickup and delivery locations and hard time windows. When loads arrive, carriers compete for their transport. Different auction and information disclosure settings are studied. Learning methodologies are discussed and analyzed. Simulation results are presented.

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Impacts of auction settings on the performance of truckload transportation marketplaces

Abstract

ASJC Scopus subject areas

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