A study on the integrations of products and manufacturing engineering using sensors and IoT

Dahye Hwang; Sang Do Noh

doi:10.1007/978-3-319-99707-0_46

A study on the integrations of products and manufacturing engineering using sensors and IoT

Dahye Hwang
, Sang Do Noh

Department of Systems Management Engineering

Sungkyunkwan University

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

2 Scopus citations

Abstract

In recent years, studies on smart manufacturing using ICT have increased significantly, and much attention has been paid to CPSs, IoT, sensors, industrial data analytics and artificial intelligence as core technologies. In particular, CPSs are one of the core technical elements in smart manufacturing, and a variety of studies on CPSs are underway. Accordingly, a large number of technical developments and applications related to intelligent and autonomous facilities, the prediction of factory operation, machinery factories and quality issues and proactive responses have been made. The new paradigm in smart manufacturing can be defined as customisation, connectivity and collaboration. The goal of smart manufacturing is to perform right decision making autonomously by connecting intelligent design, the efficient manufacture of customized products in accordance with the analysis of market and customer demand, sales, the user’s use and the service sector. The paper presents the concept, framework, configuration and implementation method of a CPS that is performed intelligently based on the IoT, smart sensors and industrial data analytics from manufacturing preparation and execution.

Original language	English
Title of host publication	Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
Editors	Gyu M. Lee, Dimitris Kiritsis, Gregor von Cieminski, Ilkyeong Moon, Jinwoo Park
Publisher	Springer New York LLC
Pages	370-377
Number of pages	8
ISBN (Print)	9783319997063
DOIs	https://doi.org/10.1007/978-3-319-99707-0_46
State	Published - 2018
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of Duration: 26 Aug 2018 → 30 Aug 2018

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	536
ISSN (Print)	1868-4238

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Country/Territory	Korea, Republic of
City	Seoul
Period	26/08/18 → 30/08/18

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Cyber-physical system (CPS)
Data analytics
Internet of things (IoT)
Smart manufacturing
Smart product

Access to Document

10.1007/978-3-319-99707-0_46

Cite this

Hwang, D., & Do Noh, S. (2018). A study on the integrations of products and manufacturing engineering using sensors and IoT. In G. M. Lee, D. Kiritsis, G. von Cieminski, I. Moon, & J. Park (Eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (pp. 370-377). (IFIP Advances in Information and Communication Technology; Vol. 536). Springer New York LLC. https://doi.org/10.1007/978-3-319-99707-0_46

Hwang, Dahye ; Do Noh, Sang. / A study on the integrations of products and manufacturing engineering using sensors and IoT. Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. editor / Gyu M. Lee ; Dimitris Kiritsis ; Gregor von Cieminski ; Ilkyeong Moon ; Jinwoo Park. Springer New York LLC, 2018. pp. 370-377 (IFIP Advances in Information and Communication Technology).

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title = "A study on the integrations of products and manufacturing engineering using sensors and IoT",

abstract = "In recent years, studies on smart manufacturing using ICT have increased significantly, and much attention has been paid to CPSs, IoT, sensors, industrial data analytics and artificial intelligence as core technologies. In particular, CPSs are one of the core technical elements in smart manufacturing, and a variety of studies on CPSs are underway. Accordingly, a large number of technical developments and applications related to intelligent and autonomous facilities, the prediction of factory operation, machinery factories and quality issues and proactive responses have been made. The new paradigm in smart manufacturing can be defined as customisation, connectivity and collaboration. The goal of smart manufacturing is to perform right decision making autonomously by connecting intelligent design, the efficient manufacture of customized products in accordance with the analysis of market and customer demand, sales, the user{\textquoteright}s use and the service sector. The paper presents the concept, framework, configuration and implementation method of a CPS that is performed intelligently based on the IoT, smart sensors and industrial data analytics from manufacturing preparation and execution.",

keywords = "Cyber-physical system (CPS), Data analytics, Internet of things (IoT), Smart manufacturing, Smart product",

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

note = "Publisher Copyright: {\textcopyright} 2018, IFIP International Federation for Information Processing.; IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2018",

doi = "10.1007/978-3-319-99707-0\_46",

language = "English",

isbn = "9783319997063",

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

publisher = "Springer New York LLC",

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editor = "Lee, \{Gyu M.\} and Dimitris Kiritsis and \{von Cieminski\}, Gregor and Ilkyeong Moon and Jinwoo Park",

booktitle = "Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings",

}

Hwang, D & Do Noh, S 2018, A study on the integrations of products and manufacturing engineering using sensors and IoT. in GM Lee, D Kiritsis, G von Cieminski, I Moon & J Park (eds), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 536, Springer New York LLC, pp. 370-377, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018, Seoul, Korea, Republic of, 26/08/18. https://doi.org/10.1007/978-3-319-99707-0_46

A study on the integrations of products and manufacturing engineering using sensors and IoT. / Hwang, Dahye; Do Noh, Sang.
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. ed. / Gyu M. Lee; Dimitris Kiritsis; Gregor von Cieminski; Ilkyeong Moon; Jinwoo Park. Springer New York LLC, 2018. p. 370-377 (IFIP Advances in Information and Communication Technology; Vol. 536).

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

TY - GEN

T1 - A study on the integrations of products and manufacturing engineering using sensors and IoT

AU - Hwang, Dahye

AU - Do Noh, Sang

PY - 2018

Y1 - 2018

N2 - In recent years, studies on smart manufacturing using ICT have increased significantly, and much attention has been paid to CPSs, IoT, sensors, industrial data analytics and artificial intelligence as core technologies. In particular, CPSs are one of the core technical elements in smart manufacturing, and a variety of studies on CPSs are underway. Accordingly, a large number of technical developments and applications related to intelligent and autonomous facilities, the prediction of factory operation, machinery factories and quality issues and proactive responses have been made. The new paradigm in smart manufacturing can be defined as customisation, connectivity and collaboration. The goal of smart manufacturing is to perform right decision making autonomously by connecting intelligent design, the efficient manufacture of customized products in accordance with the analysis of market and customer demand, sales, the user’s use and the service sector. The paper presents the concept, framework, configuration and implementation method of a CPS that is performed intelligently based on the IoT, smart sensors and industrial data analytics from manufacturing preparation and execution.

AB - In recent years, studies on smart manufacturing using ICT have increased significantly, and much attention has been paid to CPSs, IoT, sensors, industrial data analytics and artificial intelligence as core technologies. In particular, CPSs are one of the core technical elements in smart manufacturing, and a variety of studies on CPSs are underway. Accordingly, a large number of technical developments and applications related to intelligent and autonomous facilities, the prediction of factory operation, machinery factories and quality issues and proactive responses have been made. The new paradigm in smart manufacturing can be defined as customisation, connectivity and collaboration. The goal of smart manufacturing is to perform right decision making autonomously by connecting intelligent design, the efficient manufacture of customized products in accordance with the analysis of market and customer demand, sales, the user’s use and the service sector. The paper presents the concept, framework, configuration and implementation method of a CPS that is performed intelligently based on the IoT, smart sensors and industrial data analytics from manufacturing preparation and execution.

KW - Cyber-physical system (CPS)

KW - Data analytics

KW - Internet of things (IoT)

KW - Smart manufacturing

KW - Smart product

UR - https://www.scopus.com/pages/publications/85053260697

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DO - 10.1007/978-3-319-99707-0_46

M3 - Conference contribution

AN - SCOPUS:85053260697

SN - 9783319997063

T3 - IFIP Advances in Information and Communication Technology

SP - 370

EP - 377

BT - Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings

A2 - Lee, Gyu M.

A2 - Kiritsis, Dimitris

A2 - von Cieminski, Gregor

A2 - Moon, Ilkyeong

A2 - Park, Jinwoo

PB - Springer New York LLC

T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018

Y2 - 26 August 2018 through 30 August 2018

ER -

Hwang D, Do Noh S. A study on the integrations of products and manufacturing engineering using sensors and IoT. In Lee GM, Kiritsis D, von Cieminski G, Moon I, Park J, editors, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Springer New York LLC. 2018. p. 370-377. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-99707-0_46

A study on the integrations of products and manufacturing engineering using sensors and IoT

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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