Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability

Chanmo Jun; Ju Yeon Lee; Bo Hyun Kim; Sang Do Noh

doi:10.1109/WSC.2017.8248161

Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability

Chanmo Jun
, Ju Yeon Lee
, Bo Hyun Kim
, Sang Do Noh

Dept. of Mechanical System and Design Engineering

Korea Institute of Industrial Technology
Sungkyunkwan University

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

1 Scopus citations

Abstract

Recently, corporations around the world have been making numerous efforts to innovate manufacturing due to intensified competition. These innovations in manufacturing can be characterized as 'smart' manufacturing technology, and include Cyber Physical System(CPS), Internet of Things(IoT), big data, and cloud computing as applications of diverse information technologies. This study introduces research that has focused on Material Flow Cost Accounting(MFCA) in consideration of sustainability, targeting vehicle recycling factories, using an Modeling and Simulation(M&S) technique, which is one of the core elements of actualizing CPS among the core technologies in smart factory manufacturing. Specifically, this study describes the process from entering necessary data for a simulation to model creation to MFCA analysis, and verifies the applicability of the system using test examples.

Original language	English
Title of host publication	2017 Winter Simulation Conference, WSC 2017
Editors	Victor Chan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4454-4455
Number of pages	2
ISBN (Electronic)	9781538634288
DOIs	https://doi.org/10.1109/WSC.2017.8248161
State	Published - 28 Jun 2017
Event	2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States Duration: 3 Dec 2017 → 6 Dec 2017

Publication series

Name	Proceedings - Winter Simulation Conference
ISSN (Print)	0891-7736

Conference

Conference	2017 Winter Simulation Conference, WSC 2017
Country/Territory	United States
City	Las Vegas
Period	3/12/17 → 6/12/17

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/WSC.2017.8248161

Cite this

Jun, C., Lee, J. Y., Kim, B. H., & Noh, S. D. (2017). Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability. In V. Chan (Ed.), 2017 Winter Simulation Conference, WSC 2017 (pp. 4454-4455). (Proceedings - Winter Simulation Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2017.8248161

Jun, Chanmo ; Lee, Ju Yeon ; Kim, Bo Hyun et al. / Application of core technologies for smart manufacturing : A case study of cost benefit analysis based on modeling and simulation for sustainability. 2017 Winter Simulation Conference, WSC 2017. editor / Victor Chan. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 4454-4455 (Proceedings - Winter Simulation Conference).

@inproceedings{ac2658a434d64ae9a3d8a0cdb6c6f721,

title = "Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability",

abstract = "Recently, corporations around the world have been making numerous efforts to innovate manufacturing due to intensified competition. These innovations in manufacturing can be characterized as 'smart' manufacturing technology, and include Cyber Physical System(CPS), Internet of Things(IoT), big data, and cloud computing as applications of diverse information technologies. This study introduces research that has focused on Material Flow Cost Accounting(MFCA) in consideration of sustainability, targeting vehicle recycling factories, using an Modeling and Simulation(M\&S) technique, which is one of the core elements of actualizing CPS among the core technologies in smart factory manufacturing. Specifically, this study describes the process from entering necessary data for a simulation to model creation to MFCA analysis, and verifies the applicability of the system using test examples.",

author = "Chanmo Jun and Lee, \{Ju Yeon\} and Kim, \{Bo Hyun\} and Noh, \{Sang Do\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Winter Simulation Conference, WSC 2017 ; Conference date: 03-12-2017 Through 06-12-2017",

year = "2017",

month = jun,

day = "28",

doi = "10.1109/WSC.2017.8248161",

language = "English",

series = "Proceedings - Winter Simulation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4454--4455",

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booktitle = "2017 Winter Simulation Conference, WSC 2017",

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Jun, C, Lee, JY, Kim, BH & Noh, SD 2017, Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability. in V Chan (ed.), 2017 Winter Simulation Conference, WSC 2017. Proceedings - Winter Simulation Conference, Institute of Electrical and Electronics Engineers Inc., pp. 4454-4455, 2017 Winter Simulation Conference, WSC 2017, Las Vegas, United States, 3/12/17. https://doi.org/10.1109/WSC.2017.8248161

Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability. / Jun, Chanmo; Lee, Ju Yeon; Kim, Bo Hyun et al.
2017 Winter Simulation Conference, WSC 2017. ed. / Victor Chan. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4454-4455 (Proceedings - Winter Simulation Conference).

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

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N2 - Recently, corporations around the world have been making numerous efforts to innovate manufacturing due to intensified competition. These innovations in manufacturing can be characterized as 'smart' manufacturing technology, and include Cyber Physical System(CPS), Internet of Things(IoT), big data, and cloud computing as applications of diverse information technologies. This study introduces research that has focused on Material Flow Cost Accounting(MFCA) in consideration of sustainability, targeting vehicle recycling factories, using an Modeling and Simulation(M&S) technique, which is one of the core elements of actualizing CPS among the core technologies in smart factory manufacturing. Specifically, this study describes the process from entering necessary data for a simulation to model creation to MFCA analysis, and verifies the applicability of the system using test examples.

AB - Recently, corporations around the world have been making numerous efforts to innovate manufacturing due to intensified competition. These innovations in manufacturing can be characterized as 'smart' manufacturing technology, and include Cyber Physical System(CPS), Internet of Things(IoT), big data, and cloud computing as applications of diverse information technologies. This study introduces research that has focused on Material Flow Cost Accounting(MFCA) in consideration of sustainability, targeting vehicle recycling factories, using an Modeling and Simulation(M&S) technique, which is one of the core elements of actualizing CPS among the core technologies in smart factory manufacturing. Specifically, this study describes the process from entering necessary data for a simulation to model creation to MFCA analysis, and verifies the applicability of the system using test examples.

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M3 - Conference contribution

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Jun C, Lee JY, Kim BH, Noh SD. Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability. In Chan V, editor, 2017 Winter Simulation Conference, WSC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 4454-4455. (Proceedings - Winter Simulation Conference). doi: 10.1109/WSC.2017.8248161

Application of core technologies for smart manufacturing: A case study of cost benefit analysis based on modeling and simulation for sustainability

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UN SDGs

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