Applying Industry 4.0 to the Jurong Island Eco-industrial Park

Ming Pan; Janusz Sikorski; Catharine A. Kastner; Jethro Akroyd; Sebastian Mosbach; Raymond Lau; Markus Kraft

doi:10.1016/j.egypro.2015.07.313

Applying Industry 4.0 to the Jurong Island Eco-industrial Park

Ming Pan, Janusz Sikorski, Catharine A. Kastner, Jethro Akroyd, Sebastian Mosbach, Raymond Lau, Markus Kraft^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

89 Citations (Scopus)

Abstract

This paper presents new insights into the implementation of Industry 4.0 technologies (novel mathematical and computer-based methods) for designing and optimising the eco-industrial park (EIP) of Jurong Island in Singapore. The concept of Industry 4.0 translation to an EIP is introduced, which delivers an expert system allowing users to monitor, control, and optimise the social, economic and environmental repercussions of the industrial activities on Jurong Island. This expert system is a cyber-infrastructure making use of the latest advances in high performance computing (HPC), advanced mathematical modelling, and semantic web technologies. The proposed work addresses end-user driven demands by harnessing HPC resources and advanced data analytics to enable intelligent design, operation, and management of all entities on Jurong Island. The outcome of the work can serve stakeholders from both the private and public sectors.

Original language	English
Pages (from-to)	1536-1541
Number of pages	6
Journal	Energy Procedia
Volume	75
DOIs	https://doi.org/10.1016/j.egypro.2015.07.313
Publication status	Published - 2015
Externally published	Yes
Event	7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates Duration: Mar 28 2015 → Mar 31 2015

Bibliographical note

Publisher Copyright:
© 2015 The Authors. Published by Elsevier Ltd.

ASJC Scopus Subject Areas

General Energy

Keywords

cyber-infrastructure
Eco-industrial park
high performance computing (HPC)
mathematical modelling
semantic web

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10.1016/j.egypro.2015.07.313

Cite this

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title = "Applying Industry 4.0 to the Jurong Island Eco-industrial Park",

abstract = "This paper presents new insights into the implementation of Industry 4.0 technologies (novel mathematical and computer-based methods) for designing and optimising the eco-industrial park (EIP) of Jurong Island in Singapore. The concept of Industry 4.0 translation to an EIP is introduced, which delivers an expert system allowing users to monitor, control, and optimise the social, economic and environmental repercussions of the industrial activities on Jurong Island. This expert system is a cyber-infrastructure making use of the latest advances in high performance computing (HPC), advanced mathematical modelling, and semantic web technologies. The proposed work addresses end-user driven demands by harnessing HPC resources and advanced data analytics to enable intelligent design, operation, and management of all entities on Jurong Island. The outcome of the work can serve stakeholders from both the private and public sectors.",

keywords = "cyber-infrastructure, Eco-industrial park, high performance computing (HPC), mathematical modelling, semantic web",

author = "Ming Pan and Janusz Sikorski and Kastner, {Catharine A.} and Jethro Akroyd and Sebastian Mosbach and Raymond Lau and Markus Kraft",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors. Published by Elsevier Ltd.; 7th International Conference on Applied Energy, ICAE 2015 ; Conference date: 28-03-2015 Through 31-03-2015",

year = "2015",

doi = "10.1016/j.egypro.2015.07.313",

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AU - Pan, Ming

AU - Sikorski, Janusz

AU - Kastner, Catharine A.

AU - Akroyd, Jethro

AU - Mosbach, Sebastian

AU - Lau, Raymond

AU - Kraft, Markus

PY - 2015

Y1 - 2015

N2 - This paper presents new insights into the implementation of Industry 4.0 technologies (novel mathematical and computer-based methods) for designing and optimising the eco-industrial park (EIP) of Jurong Island in Singapore. The concept of Industry 4.0 translation to an EIP is introduced, which delivers an expert system allowing users to monitor, control, and optimise the social, economic and environmental repercussions of the industrial activities on Jurong Island. This expert system is a cyber-infrastructure making use of the latest advances in high performance computing (HPC), advanced mathematical modelling, and semantic web technologies. The proposed work addresses end-user driven demands by harnessing HPC resources and advanced data analytics to enable intelligent design, operation, and management of all entities on Jurong Island. The outcome of the work can serve stakeholders from both the private and public sectors.

AB - This paper presents new insights into the implementation of Industry 4.0 technologies (novel mathematical and computer-based methods) for designing and optimising the eco-industrial park (EIP) of Jurong Island in Singapore. The concept of Industry 4.0 translation to an EIP is introduced, which delivers an expert system allowing users to monitor, control, and optimise the social, economic and environmental repercussions of the industrial activities on Jurong Island. This expert system is a cyber-infrastructure making use of the latest advances in high performance computing (HPC), advanced mathematical modelling, and semantic web technologies. The proposed work addresses end-user driven demands by harnessing HPC resources and advanced data analytics to enable intelligent design, operation, and management of all entities on Jurong Island. The outcome of the work can serve stakeholders from both the private and public sectors.

KW - cyber-infrastructure

KW - Eco-industrial park

KW - high performance computing (HPC)

KW - mathematical modelling

KW - semantic web

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VL - 75

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JO - Energy Procedia

JF - Energy Procedia

T2 - 7th International Conference on Applied Energy, ICAE 2015

Y2 - 28 March 2015 through 31 March 2015

ER -

Applying Industry 4.0 to the Jurong Island Eco-industrial Park

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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