Multi-agent-oriented approach to supply chain planning and scheduling in make-to-order manufacturing
by Yee Ming Chen, Cheng-Wei Wei
International Journal of Electronic Business (IJEB), Vol. 5, No. 4, 2007

Abstract: In this paper a Supply Chain Multi-agent Systems (SCMAS) framework integrating Bilateral Negotiation (BiNeg), Proactive Order Monitoring Multi-Agent System (POMMAS), and Production Planning and Scheduling of Multi-Agent System (PPS_MAS) modules on the basis of different agent platforms is presented to address the organising planning and synchronising monitoring events in a supply chain. It addresses the negotiation for suppliers' proposals trade-off and the dynamic scheduling for new orders aspects of supply chain management. Moreover, we introduce key innovative modules of the SCMAS frame with a special emphasis on a series of negotiation and monitoring processes through employing fuzzy logic to evaluate suppliers' proposals, and then proactive detection of events. The immediate communication of such information to all affected supply chain partners are required. Finally, the capability of the approach is demonstrated by two experimental results on make-to-order computer production problem instances.

Online publication date: Wed, 08-Aug-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Business (IJEB):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com