Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A multi-agent system with blockchain for container stacking and dispatching
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
(Student).
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0001-7486-5216
2019 (English)In: 21st International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2019 / [ed] Bottani E.,Bruzzone A.G.,Longo F.,Merkuryev Y.,Piera, Dime University of Genoa , 2019, p. 79-87Conference paper, Published paper (Refereed)
Abstract [en]

Port Logistical Supply chains play a very important role in society. Their complex and adaptive behaviours promote the suggested applications of combining a multiagent system with blockchain for solving complex problems. Several technologies have been proven positively to work in logistics, however the concept of combining converging technologies such as blockchain with deep reinforcement multi agent is viewed as a novel approach to solving the complexity that is associated with many facets of logistics. A simulator was developed and tested for the problem of container stacking. The simulation results indicate a more robust approach to currently used tools and methods. © Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2019.All Rights Reserved.

Place, publisher, year, edition, pages
Dime University of Genoa , 2019. p. 79-87
Keywords [en]
Blockchain, Container Stacking Management, Multi Agent, Multi-agent Simulation, Containers, Ports and harbors, Supply chains, Adaptive behaviour, Complex problems, Converging technologies, Multi agent simulation, Robust approaches, Tools and methods, Multi agent systems
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-18904Scopus ID: 2-s2.0-85074204470ISBN: 9788885741287 (print)OAI: oai:DiVA.org:bth-18904DiVA, id: diva2:1370092
Conference
21st International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS, Lisbon, 18 September 2019 through 20 September 2019
Projects
Connect2SmallPorts
Funder
Interreg Baltic Sea Region, STHB.03.01.00-DE.0133/17-00
Note

open access

Available from: 2019-11-14 Created: 2019-11-14 Last updated: 2021-10-07Bibliographically approved

Open Access in DiVA

fulltext(767 kB)1240 downloads
File information
File name FULLTEXT01.pdfFile size 767 kBChecksum SHA-512
7e9a2aca7e4e645af064939ab421e8f2382f46d29e3d1801fa0c142109eba88c227f3a0297982af5e8dd9b63943d29b5caa39765d84812641cfcb680424a11fc
Type fulltextMimetype application/pdf

Scopus

Authority records

Henesey, LawrenceAnwar, Mahwish

Search in DiVA

By author/editor
Henesey, LawrenceAnwar, Mahwish
By organisation
Department of Computer Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 1242 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

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 892 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf