Multi-Agent Based Collaborative Demand and Capacity Network Planning in Heterarchical Supply Chains

Hellingrath Bernd, Küppers Peer

Research article in edited proceedings (conference) | Peer reviewed

Abstract

In the light of a high division of labor, decentra-lized coordination shows major importance in to-day's production and logistics networks and hence is subject to current supply chain management (SCM) research. Especially collaborative planning concepts promise to meet the specific requirements imposed by heterarchical supply chains. This paper demonstrates the multi-agent based modeling and information system-implementation of one concrete collaborative planning concept, namely the collaborative demand and capacity network planning approach. The paper's intention is to substan-tiate the suitability of multi-agent concepts in de-centralized SCM and to strengthen the motivation to combine multi-agent and SCM research.

Details about the publication

PublisherSchill Kerstin, Scholz-Reiter Bernd, Frommberger Lutz
Book titleProceedings of the 2nd Workshop on Artificial Intelligence and Logistics (AILog-2011)
Page range25-30
StatusPublished
Release year2011
Language in which the publication is writtenEnglish
Conference22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, undefined

Authors from the University of Münster

Hellingrath, Bernd
Chair of Information Systems and Supply Chain Management (Logistik)
Küppers, Peer
Chair of Information Systems and Supply Chain Management (Logistik)