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 - Interoperability
KW - ISO 23247
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 -
