Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins

Seoyoung Jo; Erik Flores-García; Yongkuk Jeong; Magnus Wiktorsson; Sang Do Noh

doi:10.1007/978-3-032-03515-8_35

Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins

Seoyoung Jo
, Erik Flores-García
, Yongkuk Jeong
, Magnus Wiktorsson
, Sang Do Noh

Department of Systems Management Engineering

Sungkyunkwan University
KTH Royal Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study investigates standardization of data acquisition, analysis and integration according to ISO 23247 for real-time visualization and interoperability in manual order picking processes within the automotive industry. This study addresses fragmented and inconsistent production logistics (PL) data and enhances real-time performance visualization by establishing a structured PL information model based on the ISO 23247 framework. The proposed approach integrates manufacturing data such as order, product, and operator data with PL specific elements including transportation, time, and material. This integrated information model ensures consistent, scalable, and reliable information data flow in PL systems. The practical applicability and validity of the proposed information model are demonstrated through a case study on manual order picking, highlighting its ability to integrate PL activities and support synchronized data exchange within dynamic production environments. The findings contribute to the broader goal of digital transformation in production and logistics by addressing key challenges in data consistency, system integration, and real-time monitoring. Furthermore, the standardized information model developed in this study can be extended to other industrial sectors, such as warehouse automation, to improve production and logistics integration through a unified information model.

Original language	English
Title of host publication	Advances in Production Management Systems. Cyber-Physical-Human Production Systems
Subtitle of host publication	Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings
Editors	Hajime Mizuyama, Eiji Morinaga, Toshiya Kaihara, Tomomi Nonaka, Gregor von Cieminski, David Romero
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	513-527
Number of pages	15
ISBN (Print)	9783032035141
DOIs	https://doi.org/10.1007/978-3-032-03515-8_35
State	Published - 2026
Event	44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025 - Kamakura, Japan Duration: 31 Aug 2025 → 4 Sep 2025

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	764 IFIPAICT
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025
Country/Territory	Japan
City	Kamakura
Period	31/08/25 → 4/09/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Digital Twin
ISO 23247
Interoperability
Manufacturing Systems
Production Logistics Information Model

Access to Document

10.1007/978-3-032-03515-8_35

Cite this

Jo, S., Flores-García, E., Jeong, Y., Wiktorsson, M., & Noh, S. D. (2026). Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins. In H. Mizuyama, E. Morinaga, T. Kaihara, T. Nonaka, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings (pp. 513-527). (IFIP Advances in Information and Communication Technology; Vol. 764 IFIPAICT). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-03515-8_35

Jo, Seoyoung ; Flores-García, Erik ; Jeong, Yongkuk et al. / Extending ISO 23247 : A Production Logistics Information Model for Integrated Digital Twins. Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. editor / Hajime Mizuyama ; Eiji Morinaga ; Toshiya Kaihara ; Tomomi Nonaka ; Gregor von Cieminski ; David Romero. Springer Science and Business Media Deutschland GmbH, 2026. pp. 513-527 (IFIP Advances in Information and Communication Technology).

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title = "Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins",

abstract = "This study investigates standardization of data acquisition, analysis and integration according to ISO 23247 for real-time visualization and interoperability in manual order picking processes within the automotive industry. This study addresses fragmented and inconsistent production logistics (PL) data and enhances real-time performance visualization by establishing a structured PL information model based on the ISO 23247 framework. The proposed approach integrates manufacturing data such as order, product, and operator data with PL specific elements including transportation, time, and material. This integrated information model ensures consistent, scalable, and reliable information data flow in PL systems. The practical applicability and validity of the proposed information model are demonstrated through a case study on manual order picking, highlighting its ability to integrate PL activities and support synchronized data exchange within dynamic production environments. The findings contribute to the broader goal of digital transformation in production and logistics by addressing key challenges in data consistency, system integration, and real-time monitoring. Furthermore, the standardized information model developed in this study can be extended to other industrial sectors, such as warehouse automation, to improve production and logistics integration through a unified information model.",

keywords = "Digital Twin, ISO 23247, Interoperability, Manufacturing Systems, Production Logistics Information Model",

author = "Seoyoung Jo and Erik Flores-Garc{\'i}a and Yongkuk Jeong and Magnus Wiktorsson and Noh, \{Sang Do\}",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2026.; 44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025 ; Conference date: 31-08-2025 Through 04-09-2025",

year = "2026",

doi = "10.1007/978-3-032-03515-8\_35",

language = "English",

isbn = "9783032035141",

series = "IFIP Advances in Information and Communication Technology",

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booktitle = "Advances in Production Management Systems. Cyber-Physical-Human Production Systems",

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Jo, S, Flores-García, E, Jeong, Y, Wiktorsson, M & Noh, SD 2026, Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins. in H Mizuyama, E Morinaga, T Kaihara, T Nonaka, G von Cieminski & D Romero (eds), Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. IFIP Advances in Information and Communication Technology, vol. 764 IFIPAICT, Springer Science and Business Media Deutschland GmbH, pp. 513-527, 44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025, Kamakura, Japan, 31/08/25. https://doi.org/10.1007/978-3-032-03515-8_35

Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins. / Jo, Seoyoung; Flores-García, Erik; Jeong, Yongkuk et al.
Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. ed. / Hajime Mizuyama; Eiji Morinaga; Toshiya Kaihara; Tomomi Nonaka; Gregor von Cieminski; David Romero. Springer Science and Business Media Deutschland GmbH, 2026. p. 513-527 (IFIP Advances in Information and Communication Technology; Vol. 764 IFIPAICT).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extending ISO 23247

T2 - 44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025

AU - Jo, Seoyoung

AU - Flores-García, Erik

AU - Jeong, Yongkuk

AU - Wiktorsson, Magnus

AU - Noh, Sang Do

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2026.

PY - 2026

Y1 - 2026

N2 - This study investigates standardization of data acquisition, analysis and integration according to ISO 23247 for real-time visualization and interoperability in manual order picking processes within the automotive industry. This study addresses fragmented and inconsistent production logistics (PL) data and enhances real-time performance visualization by establishing a structured PL information model based on the ISO 23247 framework. The proposed approach integrates manufacturing data such as order, product, and operator data with PL specific elements including transportation, time, and material. This integrated information model ensures consistent, scalable, and reliable information data flow in PL systems. The practical applicability and validity of the proposed information model are demonstrated through a case study on manual order picking, highlighting its ability to integrate PL activities and support synchronized data exchange within dynamic production environments. The findings contribute to the broader goal of digital transformation in production and logistics by addressing key challenges in data consistency, system integration, and real-time monitoring. Furthermore, the standardized information model developed in this study can be extended to other industrial sectors, such as warehouse automation, to improve production and logistics integration through a unified information model.

AB - This study investigates standardization of data acquisition, analysis and integration according to ISO 23247 for real-time visualization and interoperability in manual order picking processes within the automotive industry. This study addresses fragmented and inconsistent production logistics (PL) data and enhances real-time performance visualization by establishing a structured PL information model based on the ISO 23247 framework. The proposed approach integrates manufacturing data such as order, product, and operator data with PL specific elements including transportation, time, and material. This integrated information model ensures consistent, scalable, and reliable information data flow in PL systems. The practical applicability and validity of the proposed information model are demonstrated through a case study on manual order picking, highlighting its ability to integrate PL activities and support synchronized data exchange within dynamic production environments. The findings contribute to the broader goal of digital transformation in production and logistics by addressing key challenges in data consistency, system integration, and real-time monitoring. Furthermore, the standardized information model developed in this study can be extended to other industrial sectors, such as warehouse automation, to improve production and logistics integration through a unified information model.

KW - Digital Twin

KW - ISO 23247

KW - Interoperability

KW - Manufacturing Systems

KW - Production Logistics Information Model

UR - https://www.scopus.com/pages/publications/105015509264

U2 - 10.1007/978-3-032-03515-8_35

DO - 10.1007/978-3-032-03515-8_35

M3 - Conference contribution

AN - SCOPUS:105015509264

SN - 9783032035141

T3 - IFIP Advances in Information and Communication Technology

SP - 513

EP - 527

BT - Advances in Production Management Systems. Cyber-Physical-Human Production Systems

A2 - Mizuyama, Hajime

A2 - Morinaga, Eiji

A2 - Kaihara, Toshiya

A2 - Nonaka, Tomomi

A2 - von Cieminski, Gregor

A2 - Romero, David

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 31 August 2025 through 4 September 2025

ER -

Jo S, Flores-García E, Jeong Y, Wiktorsson M, Noh SD. Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins. In Mizuyama H, Morinaga E, Kaihara T, Nonaka T, von Cieminski G, Romero D, editors, Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 513-527. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-032-03515-8_35

Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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