3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier

Dahye Hwang; Sang Do Noh

doi:10.1007/978-3-030-29996-5_44

3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier

Dahye Hwang
, Sang Do Noh

Department of Systems Management Engineering

Sungkyunkwan University

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

3 Scopus citations

Abstract

Recently, many manufacturers have recalled their products owing to quality issues. It is increasingly difficult to determine the cause of quality issues because of the complexity of the supply chain. Thus, it is essential to share manufacturing information throughout the product life cycle. However, small and medium-sized enterprises (SMEs) often lack the necessary infrastructure and information systems. This research proposes an open-source system allowing the 3D visualization of production history and simulation results. The production history includes products’ time stamps and inspection results, defect information, and a status of each facility. This information is then used to construct a product workflow and simulation model. Further, it is possible to compare simulation results for up to three alternative scenarios. The system is developed using open-source libraries for easy diffusion and application to SMEs in the automobile industry. A method for the implementation of this system to Korean auto parts companies is introduced.

Original language	English
Title of host publication	Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings
Editors	Farhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Publisher	Springer New York LLC
Pages	381-386
Number of pages	6
ISBN (Print)	9783030299958
DOIs	https://doi.org/10.1007/978-3-030-29996-5_44
State	Published - 2019
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019 - Austin, United States Duration: 1 Sep 2019 → 5 Sep 2019

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	567
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019
Country/Territory	United States
City	Austin
Period	1/09/19 → 5/09/19

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

3D visualization
Lot tracking
Manufacturing information

Access to Document

10.1007/978-3-030-29996-5_44

Cite this

Hwang, D., & Noh, S. D. (2019). 3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier. In F. Ameri, K. E. Stecke, G. von Cieminski, & D. Kiritsis (Eds.), Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings (pp. 381-386). (IFIP Advances in Information and Communication Technology; Vol. 567). Springer New York LLC. https://doi.org/10.1007/978-3-030-29996-5_44

Hwang, Dahye ; Noh, Sang Do. / 3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier. Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. editor / Farhad Ameri ; Kathryn E. Stecke ; Gregor von Cieminski ; Dimitris Kiritsis. Springer New York LLC, 2019. pp. 381-386 (IFIP Advances in Information and Communication Technology).

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abstract = "Recently, many manufacturers have recalled their products owing to quality issues. It is increasingly difficult to determine the cause of quality issues because of the complexity of the supply chain. Thus, it is essential to share manufacturing information throughout the product life cycle. However, small and medium-sized enterprises (SMEs) often lack the necessary infrastructure and information systems. This research proposes an open-source system allowing the 3D visualization of production history and simulation results. The production history includes products{\textquoteright} time stamps and inspection results, defect information, and a status of each facility. This information is then used to construct a product workflow and simulation model. Further, it is possible to compare simulation results for up to three alternative scenarios. The system is developed using open-source libraries for easy diffusion and application to SMEs in the automobile industry. A method for the implementation of this system to Korean auto parts companies is introduced.",

keywords = "3D visualization, Lot tracking, Manufacturing information",

author = "Dahye Hwang and Noh, \{Sang Do\}",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2019.; IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019 ; Conference date: 01-09-2019 Through 05-09-2019",

year = "2019",

doi = "10.1007/978-3-030-29996-5\_44",

language = "English",

isbn = "9783030299958",

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

publisher = "Springer New York LLC",

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Hwang, D & Noh, SD 2019, 3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier. in F Ameri, KE Stecke, G von Cieminski & D Kiritsis (eds), Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. IFIP Advances in Information and Communication Technology, vol. 567, Springer New York LLC, pp. 381-386, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019, Austin, United States, 1/09/19. https://doi.org/10.1007/978-3-030-29996-5_44

3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier. / Hwang, Dahye; Noh, Sang Do.
Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. ed. / Farhad Ameri; Kathryn E. Stecke; Gregor von Cieminski; Dimitris Kiritsis. Springer New York LLC, 2019. p. 381-386 (IFIP Advances in Information and Communication Technology; Vol. 567).

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

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T1 - 3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier

AU - Hwang, Dahye

AU - Noh, Sang Do

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2019.

PY - 2019

Y1 - 2019

N2 - Recently, many manufacturers have recalled their products owing to quality issues. It is increasingly difficult to determine the cause of quality issues because of the complexity of the supply chain. Thus, it is essential to share manufacturing information throughout the product life cycle. However, small and medium-sized enterprises (SMEs) often lack the necessary infrastructure and information systems. This research proposes an open-source system allowing the 3D visualization of production history and simulation results. The production history includes products’ time stamps and inspection results, defect information, and a status of each facility. This information is then used to construct a product workflow and simulation model. Further, it is possible to compare simulation results for up to three alternative scenarios. The system is developed using open-source libraries for easy diffusion and application to SMEs in the automobile industry. A method for the implementation of this system to Korean auto parts companies is introduced.

AB - Recently, many manufacturers have recalled their products owing to quality issues. It is increasingly difficult to determine the cause of quality issues because of the complexity of the supply chain. Thus, it is essential to share manufacturing information throughout the product life cycle. However, small and medium-sized enterprises (SMEs) often lack the necessary infrastructure and information systems. This research proposes an open-source system allowing the 3D visualization of production history and simulation results. The production history includes products’ time stamps and inspection results, defect information, and a status of each facility. This information is then used to construct a product workflow and simulation model. Further, it is possible to compare simulation results for up to three alternative scenarios. The system is developed using open-source libraries for easy diffusion and application to SMEs in the automobile industry. A method for the implementation of this system to Korean auto parts companies is introduced.

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KW - Lot tracking

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AN - SCOPUS:85072950937

SN - 9783030299958

T3 - IFIP Advances in Information and Communication Technology

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BT - Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings

A2 - Ameri, Farhad

A2 - Stecke, Kathryn E.

A2 - von Cieminski, Gregor

A2 - Kiritsis, Dimitris

PB - Springer New York LLC

T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019

Y2 - 1 September 2019 through 5 September 2019

ER -

Hwang D, Noh SD. 3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier. In Ameri F, Stecke KE, von Cieminski G, Kiritsis D, editors, Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. Springer New York LLC. 2019. p. 381-386. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-29996-5_44

3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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