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Intelligent kanban : evaluation of a supply chain MAS application using benchmarking

Zhang, James, Wallis, Peter and Johnston, Robert B. 2005, Intelligent kanban : evaluation of a supply chain MAS application using benchmarking, in Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, IEEE Computer Society, Los Alamitos, Calif., pp. 396-399.

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Title Intelligent kanban : evaluation of a supply chain MAS application using benchmarking
Author(s) Zhang, James
Wallis, Peter
Johnston, Robert B.
Conference name Institute of Electrical and Electronics Engineers. Conference (2005: Hong Kong, China)
Conference location Hong Kong, China
Conference dates 29 March -1 April 2005
Title of proceedings Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service
Editor(s) [Unknown]
Publication date 2005
Conference series IEEE/ACIS International Conference on Computer and Information Science
Start page 396
End page 399
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Summary The real world challenges of incomplete information access and bounded computational resources in supply chain management motivate us to propose a bottom up approach to supply chain intelligence, built over a widely used reactive card-based replenishments system (kanban). The rationale is to use agent technology to improve the performance of the traditional kanban system while maintaining its recognized usability. Instead of optimizing a system utility function, we encode the system goal in desired behaviours of individual agents that reason about their own behaviours in the local context. This paper discusses a rigorous framework for evaluation of the proposal based on the concept of benchmarking. Preliminary results from these simulations show remarkable improvements over the traditional system. Furthermore, use of the benchmarking framework gives confidence that these results translate into real performance gains in practical implementations.
ISBN 9780769522746
0769522742
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2005, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30026550

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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