Modelling collaborative forecasting in decentralized supply chain networks with a multiagent system

Jorge E. Hernández, Raúl Poler, Josefa Mula

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Information technology has become a strong modelling approach to support the complexities involved in a process. One example of this technology is the multiagent system which, from a decentralized supply chain configuration perspective, supports the information sharing processes that any of its node will be able to carry out to support its process in a collaborative manner, for example, the forecasting process. Therefore, this paper presents a novel collaborative forecasting model in supply chain networks by considering a multiagent system modelling approach. The hypothesis presented herein is that by collaborating in the information exchange process, less errors are made in the forecasting process.

Original languageEnglish
Title of host publicationICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings
Pages372-375
Number of pages4
StatePublished - 2009
Externally publishedYes
EventICEIS 2009 - 11th International Conference on Enterprise Information Systems - Milan, Italy
Duration: 6 May 200910 May 2009

Publication series

NameICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings
VolumeAIDSS

Conference

ConferenceICEIS 2009 - 11th International Conference on Enterprise Information Systems
Country/TerritoryItaly
CityMilan
Period6/05/0910/05/09

Keywords

  • Collaborative forecasting
  • Decentralized decision-making process
  • Multiagent system
  • Supply chain management

Fingerprint

Dive into the research topics of 'Modelling collaborative forecasting in decentralized supply chain networks with a multiagent system'. Together they form a unique fingerprint.

Cite this