Computer-aided process planning, digital twin, and smart manufacturing: interconnections and integration in CNC machining processes.
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| Title: | Computer-aided process planning, digital twin, and smart manufacturing: interconnections and integration in CNC machining processes. |
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| Authors: | Afif, Muhammad Fadhlan1 (AUTHOR), Sarhan, Ahmed Aly Diaa1,2 (AUTHOR) ahsarhan@kfupm.edu.sa |
| Source: | International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p9593-9632. 40p. |
| Subjects: | Computer-aided process planning, Digital twin, Technological innovations, Manufacturing process automation, Economic efficiency, Industry 4.0 |
| Abstract: | The integration of emerging technologies such as computer-aided process planning (CAPP), digital twin (DT), and smart manufacturing (SM) is revolutionising the machining process by enhancing the efficiency, flexibility, and capability of anticipating prospective manufacturing trends. This paper presents a comprehensive review of each technology and provides insights into how they interact to further advance machining industries. The review begins with the explanation of basic concepts, scopes, and functionalities for each technology while highlighting the potential future advancements and its transformative impact. The role of CAPP for bridging the gap between design and machining, the virtual twinning of physical systems for real-time monitoring along with decision-making in DT, and the framework with the foundation blocks of SM infrastructure are critically reviewed in the discussion. Moreover, the analysis of interconnections between CAPP, DT, and SM is emphasised to show how their integration leads to a more efficient, flexible, and intelligent machining process. The enabling technologies, current landscape, and future potential of the technologies are discussed to call for increased collaboration between academia and industry to fully realise the benefits and outline future work that can advance smart manufacturing systems. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 189933514 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computer-aided process planning, digital twin, and smart manufacturing: interconnections and integration in CNC machining processes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Afif%2C+Muhammad+Fadhlan%22">Afif, Muhammad Fadhlan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sarhan%2C+Ahmed+Aly+Diaa%22">Sarhan, Ahmed Aly Diaa</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ahsarhan@kfupm.edu.sa</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Dec2025, Vol. 63 Issue 24, p9593-9632. 40p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer-aided+process+planning%22">Computer-aided process planning</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+process+automation%22">Manufacturing process automation</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+efficiency%22">Economic efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The integration of emerging technologies such as computer-aided process planning (CAPP), digital twin (DT), and smart manufacturing (SM) is revolutionising the machining process by enhancing the efficiency, flexibility, and capability of anticipating prospective manufacturing trends. This paper presents a comprehensive review of each technology and provides insights into how they interact to further advance machining industries. The review begins with the explanation of basic concepts, scopes, and functionalities for each technology while highlighting the potential future advancements and its transformative impact. The role of CAPP for bridging the gap between design and machining, the virtual twinning of physical systems for real-time monitoring along with decision-making in DT, and the framework with the foundation blocks of SM infrastructure are critically reviewed in the discussion. Moreover, the analysis of interconnections between CAPP, DT, and SM is emphasised to show how their integration leads to a more efficient, flexible, and intelligent machining process. The enabling technologies, current landscape, and future potential of the technologies are discussed to call for increased collaboration between academia and industry to fully realise the benefits and outline future work that can advance smart manufacturing systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2025.2521717 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 40 StartPage: 9593 Subjects: – SubjectFull: Computer-aided process planning Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Technological innovations Type: general – SubjectFull: Manufacturing process automation Type: general – SubjectFull: Economic efficiency Type: general – SubjectFull: Industry 4.0 Type: general Titles: – TitleFull: Computer-aided process planning, digital twin, and smart manufacturing: interconnections and integration in CNC machining processes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Afif, Muhammad Fadhlan – PersonEntity: Name: NameFull: Sarhan, Ahmed Aly Diaa IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 63 – Type: issue Value: 24 Titles: – TitleFull: International Journal of Production Research Type: main |
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