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Intelligent Decision Support Systems for Compliance Options: A Systematic Literature Review and Simulation
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. (Logistics and Supply chain management)
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

The project revolves around logistics and its adoption to the new rules. Theobjective of this project is to focus on minimizing data tampering to the lowest level possible.To achieve the set goals in this project, Decision support system and simulation havebeen used. However, to get clear insight about how they can be implemented, a systematicliterature review (Case Study incl.) has been conducted, followed by interviews with personnelat Kakinada port to understand the real-time complications in the field. Then, a simulatedexperiment using real-time data from Kakinada port has been conducted to achieve the set goalsand improve the level of transparency on all sides i.e., shipper, port and terminal.

Place, publisher, year, edition, pages
2019. , p. 48
Keywords [en]
Verified Gross mass, International Maritime Organization, Safety of Life at Sea, Decision Support System, Simulation, Data Tampering, Support vector machine (SVM)
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-18449OAI: oai:DiVA.org:bth-18449DiVA, id: diva2:1336038
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVAXA Master of Science Programme in Computer Science
Presentation
2017-05-31, J1630, Blekinge Tekniska Högskola, 371 79, Karlskrona, 14:00 (English)
Supervisors
Examiners
Available from: 2019-07-11 Created: 2019-07-08 Last updated: 2019-07-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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