Efficient multi-attribute multi-unit auctions for e-commerce logistics

Professor Huang, Guo Quan   (Principal Investigator (PI))

Dr Xu Suxiu   (Co-Investigator)

42

2016-12-01

596983

Efficient multi-attribute multi-unit auctions for e-commerce logistics

E-commerce logistics problem, incentive compatibility, mechanism design, multi-attribute auctions, primal-dual algorithm

Transportation,Operations Research

Engineering (E)

17212016

General Research Fund (GRF)

2016

Completed

1) To propose a new modeling approach for the ELP-MA based on operations research and auction theory. This approach will take into account the procurement of multiple items; that is, in the ELP-MA multiple carriers are required to meet one shipper’s demand; 2) To devise efficient auction mechanisms for the ELP-MA. The proposed mechanisms will extend the well-known Vickrey-Clarke-Groves (VCG) auction to the multi-attribute multi-unit environments; 3) To explore the underlying link between combinatorial and multi-attribute (multi-unit) auctions; 4) To make the implementation of auction simple and transparent to market participants (i.e., simplicity and practicability); 5) To test, evaluate and improve the proposed models and results using collaborators’ industrial data.