Industry 4.0 cyber physical systems model for production optimization

Megashnee Munsamy; Arnesh Telukdarie

Industry 4.0 cyber physical systems model for production optimization

Johannesburg Business School

Mangosuthu University of Technology

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

Abstract

The current approach to energy optimization at production facilities is highly dependent on specialized skills, time and delivers in a complex environment. The current paradigm for the energy calculation basis is not repeatable, especially if components have changed. Production equipment, conditions and site specific variables make for an additional challenge. In the age of technology, digitally integrated systems is the driver with business processes the design basis. The development of a business process model or Cyber Physical representation of a business resolves both the design basis but serves also as an opportunistic tool for optimization. This research focuses on developing a comprehensive cyber physical representation of a production business. The model identifies various optimization opportunities that are logically substituted based on a structured experimental protocol to find an optimized business state. The results demonstrate the effectiveness of the model to predict energy consumption and optimization options. The results are illustrative of a less intense model for energy determination.

Original language	English
Title of host publication	2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration
Subtitle of host publication	A Systems Approach to Engineering Management Solutions, ASEM 2019
Editors	E. Schott, H. Keathley, C. Krejci
Publisher	American Society for Engineering Management
ISBN (Electronic)	9780997519563
Publication status	Published - 2019
Event	2019 International Annual Conference of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019 - Philadelphia, United States Duration: 23 Oct 2019 → 26 Oct 2019

Publication series

Name	2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019

Conference

Conference	2019 International Annual Conference of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019
Country/Territory	United States
City	Philadelphia
Period	23/10/19 → 26/10/19

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Coal
Cyber physical systems
Digital
Energy
Industry 4.0

ASJC Scopus subject areas

Management of Technology and Innovation
Strategy and Management
Information Systems and Management

Cite this

Munsamy, M., & Telukdarie, A. (2019). Industry 4.0 cyber physical systems model for production optimization. In E. Schott, H. Keathley, & C. Krejci (Eds.), 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019 (2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019). American Society for Engineering Management.

Munsamy, Megashnee ; Telukdarie, Arnesh. / Industry 4.0 cyber physical systems model for production optimization. 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019. editor / E. Schott ; H. Keathley ; C. Krejci. American Society for Engineering Management, 2019. (2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019).

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title = "Industry 4.0 cyber physical systems model for production optimization",

abstract = "The current approach to energy optimization at production facilities is highly dependent on specialized skills, time and delivers in a complex environment. The current paradigm for the energy calculation basis is not repeatable, especially if components have changed. Production equipment, conditions and site specific variables make for an additional challenge. In the age of technology, digitally integrated systems is the driver with business processes the design basis. The development of a business process model or Cyber Physical representation of a business resolves both the design basis but serves also as an opportunistic tool for optimization. This research focuses on developing a comprehensive cyber physical representation of a production business. The model identifies various optimization opportunities that are logically substituted based on a structured experimental protocol to find an optimized business state. The results demonstrate the effectiveness of the model to predict energy consumption and optimization options. The results are illustrative of a less intense model for energy determination.",

keywords = "Coal, Cyber physical systems, Digital, Energy, Industry 4.0",

author = "Megashnee Munsamy and Arnesh Telukdarie",

note = "Publisher Copyright: {\textcopyright} American Society for Engineering Management, 2019.; 2019 International Annual Conference of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019 ; Conference date: 23-10-2019 Through 26-10-2019",

year = "2019",

language = "English",

series = "2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019",

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Munsamy, M & Telukdarie, A 2019, Industry 4.0 cyber physical systems model for production optimization. in E Schott, H Keathley & C Krejci (eds), 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019. 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019, American Society for Engineering Management, 2019 International Annual Conference of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019, Philadelphia, United States, 23/10/19.

Industry 4.0 cyber physical systems model for production optimization. / Munsamy, Megashnee ; Telukdarie, Arnesh.
2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019. ed. / E. Schott; H. Keathley; C. Krejci. American Society for Engineering Management, 2019. (2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019).

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

TY - GEN

T1 - Industry 4.0 cyber physical systems model for production optimization

AU - Munsamy, Megashnee

AU - Telukdarie, Arnesh

N1 - Publisher Copyright: © American Society for Engineering Management, 2019.

PY - 2019

Y1 - 2019

N2 - The current approach to energy optimization at production facilities is highly dependent on specialized skills, time and delivers in a complex environment. The current paradigm for the energy calculation basis is not repeatable, especially if components have changed. Production equipment, conditions and site specific variables make for an additional challenge. In the age of technology, digitally integrated systems is the driver with business processes the design basis. The development of a business process model or Cyber Physical representation of a business resolves both the design basis but serves also as an opportunistic tool for optimization. This research focuses on developing a comprehensive cyber physical representation of a production business. The model identifies various optimization opportunities that are logically substituted based on a structured experimental protocol to find an optimized business state. The results demonstrate the effectiveness of the model to predict energy consumption and optimization options. The results are illustrative of a less intense model for energy determination.

AB - The current approach to energy optimization at production facilities is highly dependent on specialized skills, time and delivers in a complex environment. The current paradigm for the energy calculation basis is not repeatable, especially if components have changed. Production equipment, conditions and site specific variables make for an additional challenge. In the age of technology, digitally integrated systems is the driver with business processes the design basis. The development of a business process model or Cyber Physical representation of a business resolves both the design basis but serves also as an opportunistic tool for optimization. This research focuses on developing a comprehensive cyber physical representation of a production business. The model identifies various optimization opportunities that are logically substituted based on a structured experimental protocol to find an optimized business state. The results demonstrate the effectiveness of the model to predict energy consumption and optimization options. The results are illustrative of a less intense model for energy determination.

KW - Coal

KW - Cyber physical systems

KW - Digital

KW - Energy

KW - Industry 4.0

UR - https://www.scopus.com/pages/publications/85086286729

M3 - Conference contribution

AN - SCOPUS:85086286729

T3 - 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019

BT - 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration

A2 - Schott, E.

A2 - Keathley, H.

A2 - Krejci, C.

PB - American Society for Engineering Management

T2 - 2019 International Annual Conference of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019

Y2 - 23 October 2019 through 26 October 2019

ER -

Munsamy M , Telukdarie A. Industry 4.0 cyber physical systems model for production optimization. In Schott E, Keathley H, Krejci C, editors, 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019. American Society for Engineering Management. 2019. (2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019).

Industry 4.0 cyber physical systems model for production optimization

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this