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Iterative Combinatorial Auction for Carrier Collaboration in Logistic Services

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Iterative Combinatorial Auction for Carrier Collaboration in Logistic Services

Mehrizi, Hamidreza (2013) Iterative Combinatorial Auction for Carrier Collaboration in Logistic Services. Masters thesis, Concordia University.

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Abstract

In collaborative logistics, multiple carriers form a network to share their transportation capacities. Collaboration among carriers results in improved resource utilization and, therefore, reduced costs. In this thesis, we propose an auction-based model for carrier collaboration in transportation services. The model achieves carrier collaboration through facilitating the negotiation among carriers over a group of shipping orders required by one or a group of shippers. The negotiation is conducted through a combinatorial iterative auction mechanism with the objective of minimizing the carriers’ overall costs.
We first present a centralized carrier collaboration problem model in which a central entity has all required information to compute an optimal solution. We then consider a more realistic game theoretic setting where auction-based mechanism is applied to deal with self-interests of carriers. Compared with one-shot auctions, the proposed iterative bidding framework has the properties of reducing carriers’ information revelation and accommodating dynamic changes during the bidding process. Experimental results show that the procurement cost performance and the quality of solutions computed using the proposed iterative auction model is close to that of the optimal solutions.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Mehrizi, Hamidreza
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Quality Systems Engineering
Date:15 April 2013
Thesis Supervisor(s):Wang, Chun
Keywords:Logistics Carrier Collaboration, Iterative Descending Combinatorial Auction, Centralized and Decentralized Coordination, Multi-Agent Systems
ID Code:977107
Deposited By: HAMIDREZA MEHRIZI
Deposited On:19 Jun 2013 20:05
Last Modified:18 Jan 2018 17:43
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