Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization. (September 2022)

• Record Type: Journal Article
• Authors: Bae, Ki-Hwan; Mustafee, Navonil; Lazarova-Molnar, Sanja; Zheng, Long
• Is Part Of: Simulation. Volume 98:Number 9(2022)
• Page Start: 753
• Page End: 771
• Publication Date: 2022-09
• Subjects: Hybrid modeling -- multi-objective optimization -- agent-based simulation -- physical Internet -- auction-based mechanism; Computer simulation -- Periodicals; 003.3
• DOI: 10.1177/00375497221075614
• Languages: English
• ISSNs: 0037-5497

Abstract

The sharing economy is a peer-to-peer economic model characterized by people and organizations sharing resources. With the emergence of such economies, an increasing number of logistics providers seek to collaborate and derive benefit from the resultant economic efficiencies, sustainable operations, and network resilience. This study investigates the potential for collaborative planning enabled through a Physical Internet-enabled logistics system in an urban area that acts as a freight transport hub with several e-commerce warehouses. Our collaborative freight transportation planning approach is realized through a three-layer structured hybrid model that includes agent-based simulation, auction mechanism, and optimization. A multi-agent model simulates a complex transportation network, an auction mechanism facilitates allocating transport services to freight requests, and a simulation–optimization technique is used to analyze strategic transportation planning under different objectives. Furthermore, sensitivity analyses and Pareto efficiency experiments are conducted to draw insights regarding the effect of parameter settings and multi-objectives. The computational results demonstrate the efficacy of our developed model and solution approach, tested on a real urban freight transportation network in a major US city.