A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems

Mainak Majumder

doi:10.1109/MODELS-C59198.2023.00044

A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems

Mainak Majumder

LIT Cyber-Physical Systems Lab

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

Abstract

The growing influence of Information Technologies
in the manufacturing domain has led to the fourth industrial
revolution (Industry 4.0). Cyber-Physical Production System
(CPPS) is one of the fundamental concepts of Industry 4.0 that
aims to develop an intelligent manufacturing environment by
leveraging concepts like the Internet of Things (IoT), cloud computing, virtualization, and Artificial Intelligence (AI). However,
the challenges originating from the technological heterogeneity
in the manufacturing domain remain primary obstacles towards
realising a fully automated CPPS. Among them, semantic heterogeneity in manufacturing information is the most crucial which
can be attributed to technology and vendor-specific information
modelling mechanisms. A CPPS requires seamless machine-to machine communication which could be hindered due to the
non-interoperability among machine data on a semantic level.
Therefore, the primary focus of this thesis work is to understand
the semantic interoperability challenges of CPPS and propose
solutions to address those challenges. The proposed solution revolves around the development of semantic domain models using
the modelling philosophies of Domain-Driven Design (DDD).

Original language	English
Title of host publication	Doctoral Symposium, ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS-C)
Editors	ACM
Place of Publication	Västerås, Sweden
Pages	172-178
Number of pages	7
ISBN (Electronic)	9798350324983
DOIs	https://doi.org/10.1109/MODELS-C59198.2023.00044
Publication status	Published - 22 Dec 2023

Publication series

Name	Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023

Fields of science

202017 Embedded systems
102022 Software development
102025 Distributed systems
102029 Practical computer science
202003 Automation
202041 Computer engineering
102 Computer Sciences

JKU Focus areas

Digital Transformation

UN SDGs

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

Access to Document

10.1109/MODELS-C59198.2023.00044

Cite this

Majumder, M. (2023). A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems. In ACM (Ed.), Doctoral Symposium, ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS-C) (pp. 172-178). (Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023).. https://doi.org/10.1109/MODELS-C59198.2023.00044

Majumder, Mainak. / A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems. Doctoral Symposium, ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS-C). editor / ACM. Västerås, Sweden, 2023. pp. 172-178 (Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023).

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title = "A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems",

abstract = "The growing influence of Information Technologies in the manufacturing domain has led to the fourth industrial revolution (Industry 4.0). Cyber-Physical Production System (CPPS) is one of the fundamental concepts of Industry 4.0 that aims to develop an intelligent manufacturing environment by leveraging concepts like the Internet of Things (IoT), cloud computing, virtualization, and Artificial Intelligence (AI). However, the challenges originating from the technological heterogeneity in the manufacturing domain remain primary obstacles towards realising a fully automated CPPS. Among them, semantic heterogeneity in manufacturing information is the most crucial which can be attributed to technology and vendor-specific information modelling mechanisms. A CPPS requires seamless machine-to machine communication which could be hindered due to the non-interoperability among machine data on a semantic level. Therefore, the primary focus of this thesis work is to understand the semantic interoperability challenges of CPPS and propose solutions to address those challenges. The proposed solution revolves around the development of semantic domain models using the modelling philosophies of Domain-Driven Design (DDD).",

author = "Mainak Majumder",

year = "2023",

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doi = "10.1109/MODELS-C59198.2023.00044",

language = "English",

series = "Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023",

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Majumder, M 2023, A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems. in ACM (ed.), Doctoral Symposium, ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS-C). Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023, Västerås, Sweden, pp. 172-178. https://doi.org/10.1109/MODELS-C59198.2023.00044

A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems. / Majumder, Mainak.
Doctoral Symposium, ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS-C). ed. / ACM. Västerås, Sweden, 2023. p. 172-178 (Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023).

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

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AU - Majumder, Mainak

PY - 2023/12/22

Y1 - 2023/12/22

N2 - The growing influence of Information Technologies in the manufacturing domain has led to the fourth industrial revolution (Industry 4.0). Cyber-Physical Production System (CPPS) is one of the fundamental concepts of Industry 4.0 that aims to develop an intelligent manufacturing environment by leveraging concepts like the Internet of Things (IoT), cloud computing, virtualization, and Artificial Intelligence (AI). However, the challenges originating from the technological heterogeneity in the manufacturing domain remain primary obstacles towards realising a fully automated CPPS. Among them, semantic heterogeneity in manufacturing information is the most crucial which can be attributed to technology and vendor-specific information modelling mechanisms. A CPPS requires seamless machine-to machine communication which could be hindered due to the non-interoperability among machine data on a semantic level. Therefore, the primary focus of this thesis work is to understand the semantic interoperability challenges of CPPS and propose solutions to address those challenges. The proposed solution revolves around the development of semantic domain models using the modelling philosophies of Domain-Driven Design (DDD).

AB - The growing influence of Information Technologies in the manufacturing domain has led to the fourth industrial revolution (Industry 4.0). Cyber-Physical Production System (CPPS) is one of the fundamental concepts of Industry 4.0 that aims to develop an intelligent manufacturing environment by leveraging concepts like the Internet of Things (IoT), cloud computing, virtualization, and Artificial Intelligence (AI). However, the challenges originating from the technological heterogeneity in the manufacturing domain remain primary obstacles towards realising a fully automated CPPS. Among them, semantic heterogeneity in manufacturing information is the most crucial which can be attributed to technology and vendor-specific information modelling mechanisms. A CPPS requires seamless machine-to machine communication which could be hindered due to the non-interoperability among machine data on a semantic level. Therefore, the primary focus of this thesis work is to understand the semantic interoperability challenges of CPPS and propose solutions to address those challenges. The proposed solution revolves around the development of semantic domain models using the modelling philosophies of Domain-Driven Design (DDD).

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Majumder M. A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems. In ACM, editor, Doctoral Symposium, ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS-C). Västerås, Sweden. 2023. p. 172-178. (Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023). doi: 10.1109/MODELS-C59198.2023.00044

A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems

Abstract

Publication series

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

BrAIN - Brownfield Artificial Intelligence Network for Forging of High Quality Aerospace Components

Cite this

A Domain-Driven Model Generation Framework for Cyber-Physical Production Systems

Abstract

Publication series

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

Projects

BrAIN - Brownfield Artificial Intelligence Network for Forging of High Quality Aerospace Components

Cite this