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Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics.ORCID iD: 0000-0003-1878-773x
University of Skövde, University of Skövde.ORCID iD: 0000-0003-0798-0753
University of Skövde, University of Skövde.ORCID iD: 0000-0002-2415-7243
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics.ORCID iD: 0000-0001-7935-8811
2024 (English)In: Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014, IOS Press , 2024, Vol. 52, 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 material and information flow within the manufacturing sector, thereby adding value through data visualization. Drawing from a detailed case study in the automotive industry, we outline the essential components of network diagrams that are tailored to depict spatial-temporal data linked with material handling processes in an SPL context. This integrated approach presents managers with a new tool for optimizing planning 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 research avenues, stressing the importance of dynamic diagrams that decode complex patterns from digital data and the incorporation of sustainability metrics in SPL assessments.

Place, publisher, year, edition, pages
IOS Press , 2024. Vol. 52, p. 601-612
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X ; 52
Keywords [en]
Automotive industry, Case study, Data visualization, Network diagram, Smart production logistics
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-346414DOI: 10.3233/ATDE240202ISI: 001229990300048Scopus ID: 2-s2.0-85191318100OAI: oai:DiVA.org:kth-346414DiVA, id: diva2:1857608
Conference
11th Swedish Production Symposium, SPS2024, Trollhattan, Sweden, Apr 23 2024 - Apr 26 2024
Note

QC 20240522

Part of ISBN 978-164368510-6

Available from: 2024-05-14 Created: 2024-05-14 Last updated: 2024-07-05Bibliographically approved

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Authority records

Jeong, YongkukFlores-García, ErikWiktorsson, Magnus

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  • apa
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