Purposeful decision-support with Digital Shadows: a model catalog architecture and its implementation for production scheduling in the injection molding domain.
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| Title: | Purposeful decision-support with Digital Shadows: a model catalog architecture and its implementation for production scheduling in the injection molding domain. |
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| Authors: | Sapel, Patrick1 (AUTHOR) patrick.sapel@rwth-aachen.de, Gannouni, Aymen2 (AUTHOR), Abdelrazeq, Anas2 (AUTHOR), Hopmann, Christian1 (AUTHOR), Schmitt, Robert H.2 (AUTHOR) |
| Source: | International Journal of Production Research. Mar2026, Vol. 64 Issue 6, p2133-2157. 25p. |
| Subjects: | Production scheduling, Injection molding, Model-driven software architecture, Decision support systems, Digital twin, Enterprise resource planning, Industry 4.0 |
| Abstract: | Industry 4.0 promises more efficient decision support systems by enabling the retrieval of data from various and heterogeneous sources and processing them in appropriate models. Consequently, Digital Shadows are introduced to automate the identification of models for specific issues and retrieve necessary input data automatically, streamlining decision-making processes. However, the absence of an architecture containing a model repository, information on model processing, required model input data, and their respective source systems poses challenges to implement this automated process. To address this, we propose a model catalog architecture as the cornerstone of automated model processing. Therefore, we ascertain the fundamental architectural requirements by delineating the essential interfaces, gates, and databases involved. These requirements are then translated into a modular and scalable architecture, facilitating the reuse of repetitive files, such as a translator acting as a middleware between different source systems. The architecture enables seamless integration of new models, provided they adhere to standardised definitions. Additionally, we transfer the architecture into a suitable framework. To validate our concept, we implement an exemplary model catalog that demonstrates production scheduling in an injection molding shop floor, completed with a web-based interface and integration of an enterprise resource planning system for real-time data access. [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: 192207098 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Purposeful decision-support with Digital Shadows: a model catalog architecture and its implementation for production scheduling in the injection molding domain. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sapel%2C+Patrick%22">Sapel, Patrick</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> patrick.sapel@rwth-aachen.de</i><br /><searchLink fieldCode="AR" term="%22Gannouni%2C+Aymen%22">Gannouni, Aymen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abdelrazeq%2C+Anas%22">Abdelrazeq, Anas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hopmann%2C+Christian%22">Hopmann, Christian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schmitt%2C+Robert+H%2E%22">Schmitt, Robert H.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Mar2026, Vol. 64 Issue 6, p2133-2157. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Production+scheduling%22">Production scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Injection+molding%22">Injection molding</searchLink><br /><searchLink fieldCode="DE" term="%22Model-driven+software+architecture%22">Model-driven software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Enterprise+resource+planning%22">Enterprise resource planning</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Industry 4.0 promises more efficient decision support systems by enabling the retrieval of data from various and heterogeneous sources and processing them in appropriate models. Consequently, Digital Shadows are introduced to automate the identification of models for specific issues and retrieve necessary input data automatically, streamlining decision-making processes. However, the absence of an architecture containing a model repository, information on model processing, required model input data, and their respective source systems poses challenges to implement this automated process. To address this, we propose a model catalog architecture as the cornerstone of automated model processing. Therefore, we ascertain the fundamental architectural requirements by delineating the essential interfaces, gates, and databases involved. These requirements are then translated into a modular and scalable architecture, facilitating the reuse of repetitive files, such as a translator acting as a middleware between different source systems. The architecture enables seamless integration of new models, provided they adhere to standardised definitions. Additionally, we transfer the architecture into a suitable framework. To validate our concept, we implement an exemplary model catalog that demonstrates production scheduling in an injection molding shop floor, completed with a web-based interface and integration of an enterprise resource planning system for real-time data access. [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: 10.1080/00207543.2025.2573194 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 2133 Subjects: – SubjectFull: Production scheduling Type: general – SubjectFull: Injection molding Type: general – SubjectFull: Model-driven software architecture Type: general – SubjectFull: Decision support systems Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Enterprise resource planning Type: general – SubjectFull: Industry 4.0 Type: general Titles: – TitleFull: Purposeful decision-support with Digital Shadows: a model catalog architecture and its implementation for production scheduling in the injection molding domain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sapel, Patrick – PersonEntity: Name: NameFull: Gannouni, Aymen – PersonEntity: Name: NameFull: Abdelrazeq, Anas – PersonEntity: Name: NameFull: Hopmann, Christian – PersonEntity: Name: NameFull: Schmitt, Robert H. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 64 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Production Research Type: main |
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