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Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment
KTH, Skolan för industriell teknik och management (ITM), Hållbar produktionsutveckling (ML).ORCID-id: 0000-0003-1878-773x
KTH, Skolan för industriell teknik och management (ITM), Hållbar produktionsutveckling (ML).ORCID-id: 0000-0003-0798-0753
Seoul National University, Seoul, 08826, South Korea.
Seoul National University, Seoul, 08826, South Korea.
Vise andre og tillknytning
2022 (engelsk)Inngår i: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action / [ed] Kim, DY VonCieminski, G Romero, D, Springer Nature , 2022, Vol. 664, s. 556-564Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Smart production logistics has introduced in manufacturing industries with emerging technologies such as digital twin, industrial internet of things, and cyber-physical system. This technological innovation initiates the new way of working, working environment, and decision-making process. Especially the decision-making process has changed from experience and intuition to knowledge and data driven. In this paper, digital twin-based services, and data visualization of material handling equipment in smart production logistics environment are presented. There are several applications of digital twin in manufacturing industries already, however feedback from the virtual environment to physical environment and interactions between them which are the essential features of digital twin are very weak in many applications. Therefore, we have developed digital twin-based services in the laboratory scale including feedback and interaction. In addition, data visualization application of material handling equipment in automotive industry is presented to provide insights to the users. Both applications have developed based on the same framework including database and middleware, so it has possibilities to develop further in the future.

sted, utgiver, år, opplag, sider
Springer Nature , 2022. Vol. 664, s. 556-564
Serie
IFIP Advances in Information and Communication Technology, ISSN 1868-4238
Emneord [en]
Digital twin, Digital service, Data visualization, Smart production logistics
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-321001DOI: 10.1007/978-3-031-16411-8_64ISI: 000869729400064Scopus ID: 2-s2.0-85138794000OAI: oai:DiVA.org:kth-321001DiVA, id: diva2:1708497
Konferanse
IFIP WG 5.7 International Conference on Advances in Production Management Systems (APMS) - Smart Manufacturing and Logistics Systems - Turning Ideas into Action, SEP 25-29, 2022, Gyeongju, SOUTH KOREA
Merknad

Part of proceedings: ISBN 978-3-031-16410-1, ISBN 978-3-031-16411-8

QC 20221104

Tilgjengelig fra: 2022-11-04 Laget: 2022-11-04 Sist oppdatert: 2022-11-04bibliografisk kontrollert

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Jeong, YongkukFlores-García, ErikWiktorsson, MagnusLiu, SichaoWang, Xi VincentWang, Lihui

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