A multi-agent system for DRCMPSP based on auction and critical chain
by Minghui Chen; Zhe Zhang
International Journal of Applied Decision Sciences (IJADS), Vol. 9, No. 3, 2016

Abstract: This paper develops a multi-agent system based on auction and critical chain (MAS/AC) for decentralised resource constrained multiple project scheduling problem (DRCMPSP). In this system, parallel projects are to be scheduled simultaneously under the consideration of multi-objectives, where the allocation of global resources is independent from the allocation of activities and local resources through a multi-agent system. The critical chain method (CCM) is applied to adjust the schedule and local resource constraints of each single project. Subsequently, multiple objectives of different projects are considered in the process of calculating bid price. Moreover, the distribution of global resources is conducted by AA employed combinatorial auction. Through the interactive communication between AA and PAs, parallel projects could be scheduled simultaneously with respect to their different characteristics and interests, and the benefits of the whole system could be ensured meanwhile. An experimental example together is applied to demonstrate the efficiency and superiority of MAS/AC.

Online publication date: Wed, 14-Dec-2016

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 Applied Decision Sciences (IJADS):
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