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A core reference ontology for steelmaking process knowledge modelling and information management

Qiushi Cao, Sadeer Beden, Arnold Beckmann Orcid Logo

Computers in Industry, Volume: 135, Start page: 103574

Swansea University Authors: Qiushi Cao, Sadeer Beden, Arnold Beckmann Orcid Logo

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DOI (Published version): 10.1016/j.compind.2021.103574

Abstract

Following the trend of Industry 4.0, the business model of steel manufacturing is transforming from a historical inwardly focused supplier/customer relationship to one that embraces the wider end-to-end supply chain and improves productivity more holistically. However, the data and information requi...

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Published in: Computers in Industry
ISSN: 0166-3615
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59000
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last_indexed 2024-11-14T12:14:42Z
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spelling 2024-07-23T16:26:55.0817831 v2 59000 2021-12-12 A core reference ontology for steelmaking process knowledge modelling and information management 5c00afca4cb5fa62e43bda660a1a27b5 Qiushi Cao Qiushi Cao true false acf0be82092335f6fb65bb51f29c46ac Sadeer Beden Sadeer Beden true false 1439ebd690110a50a797b7ec78cca600 0000-0001-7958-5790 Arnold Beckmann Arnold Beckmann true false 2021-12-12 EAAS Following the trend of Industry 4.0, the business model of steel manufacturing is transforming from a historical inwardly focused supplier/customer relationship to one that embraces the wider end-to-end supply chain and improves productivity more holistically. However, the data and information required for supply chain planning and steelmaking process modelling are normally distributed over scattered sources across organisation boundaries and research communities. This leads to a major problem concerning semantic interoperability. To address this issue, this paper introduces a Common Reference Ontology for Steelmaking (CROS). CROS serves as a shared steelmaking resource and capability model that aims to facilitate knowledge modelling, knowledge sharing and information management. In contrast to most of the existing steelmaking ontologies which merely focus on conceptual modelling, our work pays special attention to the real-world implementation and utilisation aspects of CROS. The functionality and usefulness of CROS is evaluated and tested on a real-world condition-based monitoring and maintenance task for cold rolling mills at Tata Steel in the United Kingdom. Journal Article Computers in Industry 135 103574 Elsevier BV 0166-3615 Industry 4.0; Steelmaking; Knowledge graph; Ontology; Ontology-based data access; Condition-based maintenance 1 2 2022 2022-02-01 10.1016/j.compind.2021.103574 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University EP/S018107/1, EP/T517537/1]and Tata Steel. EP/S018107/1, EP/T517537/1 2024-07-23T16:26:55.0817831 2021-12-12T21:54:16.5157170 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Qiushi Cao 1 Sadeer Beden 2 Arnold Beckmann 0000-0001-7958-5790 3 59000__21890__d94471c372614c4f9bfd56e1d9e1a344.pdf CROS-Computers_in_Industry.pdf 2021-12-14T17:31:23.6425634 Output 13447787 application/pdf Accepted Manuscript true 2023-12-11T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title A core reference ontology for steelmaking process knowledge modelling and information management
spellingShingle A core reference ontology for steelmaking process knowledge modelling and information management
Qiushi Cao
Sadeer Beden
Arnold Beckmann
title_short A core reference ontology for steelmaking process knowledge modelling and information management
title_full A core reference ontology for steelmaking process knowledge modelling and information management
title_fullStr A core reference ontology for steelmaking process knowledge modelling and information management
title_full_unstemmed A core reference ontology for steelmaking process knowledge modelling and information management
title_sort A core reference ontology for steelmaking process knowledge modelling and information management
author_id_str_mv 5c00afca4cb5fa62e43bda660a1a27b5
acf0be82092335f6fb65bb51f29c46ac
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author_id_fullname_str_mv 5c00afca4cb5fa62e43bda660a1a27b5_***_Qiushi Cao
acf0be82092335f6fb65bb51f29c46ac_***_Sadeer Beden
1439ebd690110a50a797b7ec78cca600_***_Arnold Beckmann
author Qiushi Cao
Sadeer Beden
Arnold Beckmann
author2 Qiushi Cao
Sadeer Beden
Arnold Beckmann
format Journal article
container_title Computers in Industry
container_volume 135
container_start_page 103574
publishDate 2022
institution Swansea University
issn 0166-3615
doi_str_mv 10.1016/j.compind.2021.103574
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description Following the trend of Industry 4.0, the business model of steel manufacturing is transforming from a historical inwardly focused supplier/customer relationship to one that embraces the wider end-to-end supply chain and improves productivity more holistically. However, the data and information required for supply chain planning and steelmaking process modelling are normally distributed over scattered sources across organisation boundaries and research communities. This leads to a major problem concerning semantic interoperability. To address this issue, this paper introduces a Common Reference Ontology for Steelmaking (CROS). CROS serves as a shared steelmaking resource and capability model that aims to facilitate knowledge modelling, knowledge sharing and information management. In contrast to most of the existing steelmaking ontologies which merely focus on conceptual modelling, our work pays special attention to the real-world implementation and utilisation aspects of CROS. The functionality and usefulness of CROS is evaluated and tested on a real-world condition-based monitoring and maintenance task for cold rolling mills at Tata Steel in the United Kingdom.
published_date 2022-02-01T07:54:38Z
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