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Data Visualization Support for Complex Logistics Operations and Cyber-physical Systems
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. (Model-based engineering methodology and integrated engineering environments)ORCID iD: 0000-0002-8853-4159
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.).ORCID iD: 0000-0002-0889-5190
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Today, complex logistics operations include different levels of communication and interactions. This paper explores the requirements of these operations and conceptualizes important key performance indicators, stakeholders, and different data visualizations to support the stakeholders in order to understand interactions between entities easier and faster. Three different levels were identified-supply chain, automated warehouse, and intelligent agent-to define the complex logistics operations. For each level, important stakeholders and performance indicators were determined. A case study was designed and described to exemplify the role of cyber-physical systems in complex logistics operations. Moreover, different data visualizations were developed as part of a dashboard to illustrate key performance indicators of different levels for the purpose of supporting stakeholders. This exploratory study concludes by identifying important data necessary for each performance indicator, suggesting ways to collect these data, and exemplifying how data visualization approach can be used through a dashboard design.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Data Visualization, Information Visualization, Supply Chain, Automated Warehouse, Intelligent Agent, Cyber-Physical Systems, Dashboard Design, Soar
National Category
Engineering and Technology Embedded Systems
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-222144OAI: oai:DiVA.org:kth-222144DiVA, id: diva2:1179482
Conference
14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Projects
SCOTT - Secure Connected Trustable Things
Note

QC 20180327

Available from: 2018-02-01 Created: 2018-02-01 Last updated: 2018-03-27Bibliographically approved

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fulltext(3177 kB)3 downloads
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Type fulltextMimetype application/pdf

Authority records BETA

El-khoury, Jad

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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