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Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. (Production logistics)ORCID iD: 0000-0003-1878-773x
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. (Production logistics)ORCID iD: 0000-0003-0798-0753
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics.ORCID iD: 0000-0001-7935-8811
2024 (English)In: Proceedings of the 11th Swedish Production Symposium / [ed] Joel Andersson, Shrikant Joshi, Lennart Malmsköld, Fabian Hanning, 2024, p. 601-612Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a framework that integrates smart production logistics(SPL) with network diagrams. This integration enhances visibility in the materialand information flow within the manufacturing sector, thereby adding valuethrough data visualization. Drawing from a detailed case study in the automotiveindustry, we outline the essential components of network diagrams that are tailoredto depict spatial-temporal data linked with material handling processes in an SPLcontext. This integrated approach presents managers with a new tool for optimizingplanning and executing tasks related to the transport of materials and information.Furthermore, while the framework brings about significant technological progress,it also emphasizes the managerial implications of SPL data visualization. In particular,it highlights its potential to foster informed decision-making, resource optimization,and strategic forecasting. The paper also discusses prospective researchavenues, stressing the importance of dynamic diagrams that decode complex patternsfrom digital data and the incorporation of sustainability metrics in SPL assessments.

Place, publisher, year, edition, pages
2024. p. 601-612
Keywords [en]
Smart production logistics, Network diagram, Data visualization, Automotive industry, Case study
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Engineering and Management
Identifiers
URN: urn:nbn:se:kth:diva-345644OAI: oai:DiVA.org:kth-345644DiVA, id: diva2:1851753
Conference
the 11th Swedish Production Symposium, APRIL 23–26 2024 IN TROLLHÄTTAN, SWEDEN
Note

QC 20240416

Part of ISBN 978-1-64368-511-3

Available from: 2024-04-15 Created: 2024-04-15 Last updated: 2024-04-16Bibliographically approved

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Jeong, YongkukFlores-García, ErikWiktorsson, Magnus

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CiteExportLink to record
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Citation style
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Output format
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