Change search
ReferencesLink to record
Permanent link

Direct link
Agent based decision support in the supply chain context
Jönköping University, School of Engineering, JTH. Research area Industrial Production.
Lappeenranta University of Technology, Kouvola, Finland.
2012 (English)In: Industrial management + data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 112, no 8, 1217-1235 p.Article in journal (Refereed) Published
Abstract [en]

Purpose – The purpose of this paper is to investigate the benefits and the barriers of agent based decision support (ABDS) systems in the supply chain context.

Design/methodology/approach – Two ABDS systems have been developed and evaluated. The first system concerns a manufacturing supply chain while the second concerns a service supply chain. The systems are based on actual case companies.

Findings – This research shows that the benefits of ABDS systems in the supply chain context include the possibility to increase versatility of system architecture, to improve supply chain visibility, to conduct experiments and what-if analyses, to improve the understanding of the real system, and the possibility to improve communication within and between organizations in the supply chain. The barriers of ABDS systems in the supply chain context include the difficulty to access data from partners in the supply chain, the difficulty to access data on a higher level of granularity, and the difficulty to retrieve data from other information systems.

Research limitations/implications – The research is explorative in nature therefore empirical data from similar and other research settings should be gathered to reinforce the validity of the findings.

Practical implications – This research provides knowledge and insights on how ABDS systems may be developed and used in the supply chain context and demonstrates its main benefits and barriers.

Originality/value – This research expands the current research of benefits of ABDS systems to the supply chain domain and also addresses the barriers of ABDS systems to a larger extent than previous research. Comparisons to other simulation based decision support systems are also given.

Place, publisher, year, edition, pages
2012. Vol. 112, no 8, 1217-1235 p.
Keyword [en]
Agent based modeling and simulation, Decision support system, Information systems, Supply chain management
National Category
Transport Systems and Logistics
URN: urn:nbn:se:hj:diva-19460DOI: 10.1108/02635571211264636Local ID: JTHIndustriellISOAI: diva2:553124
Available from: 2012-09-18 Created: 2012-09-17 Last updated: 2015-11-17Bibliographically approved

Open Access in DiVA

fulltext(636 kB)192 downloads
File information
File name FULLTEXT01.pdfFile size 636 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Hilletofth, Per
By organisation
JTH. Research area Industrial Production
In the same journal
Industrial management + data systems
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 192 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 337 hits
ReferencesLink to record
Permanent link

Direct link