Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
2-2016
Abstract
With the advent of e-commerce, logistics providers are faced with the challenge of handling fluctuating and sparsely distributed demand, which raises their operational costs significantly. As a result, horizontal cooperation are gaining momentum around the world. One of the major impediments, however, is the lack of stable and fair profit sharing mechanism. In this paper, we address this problem using the framework of computational cooperative games. We first present cooperative vehicle routing game as a model for collaborative logistics operations. Using the axioms of Shapley value as the conditions for fairness, we show that a stable, fair and budget balanced allocation does not exist in many instances of the game. By relaxing budget balance, we then propose an allocation scheme based on the normalized Shapley value. We show that this scheme maintains stability and fairness while requiring minimum subsidy. Finally, using numerical experiments we demonstrate the feasibility of the scheme under various settings.
Discipline
Artificial Intelligence and Robotics | Operations and Supply Chain Management
Publication
Proceedings fo the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16): February 12-17, 2016, Phoenix, Arizona
First Page
3785
Last Page
3792
Publisher
AAAI Press
City or Country
Palo Alto, CA
Citation
AGUSSURJA, Lucas; LAU, Hoong Chuin; and CHENG, Shih-Fen.
Achieving stable and fair profit allocation with minimum subsidy in collaborative logistics. (2016). Proceedings fo the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16): February 12-17, 2016, Phoenix, Arizona. 3785-3792.
Available at: https://ink.library.smu.edu.sg/sis_research/3343
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Artificial Intelligence and Robotics Commons, Operations and Supply Chain Management Commons