Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2006
Abstract
In this paper, we are concerned with scheduling resources in a multi-tier production/logistics system for multi-indenture goods. Unlike classical production scheduling problems, the problem we study is concerned with local utilities which are private. We present an agent model and investigate an efficient scheme for handling multi-linked agent negotiations. With this scheme we attempt to overcome the drawbacks of sequential negotiations and negotiation parameter settings. Our approach is based on embedding a credit-based negotiation protocol within a local search scheduling algorithm. We demonstrate the computational efficiency and effectiveness of the approach in solving a real-life dynamic production scheduling problem which balances between global production cost and local utilities within the facilities.
Keywords
Multi-linked agent negotiations, Scheduling networks, multi agent systems
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology IAT: Hong Kong, December 18-22: Proceedings
First Page
498
Last Page
505
ISBN
9780769527482
Identifier
10.1109/IAT.2006.56
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
LAU, Hoong Chuin; SOH, Guan Li; and WAN, Wee Chong.
Dynamic multi-linked negotiations in multi-echelon production scheduling networks. (2006). 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology IAT: Hong Kong, December 18-22: Proceedings. 498-505.
Available at: https://ink.library.smu.edu.sg/sis_research/360
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/IAT.2006.56
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons