Real-Time Decision Support System for Dynamic Optimization in Multi-Product Process Manufacturing Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1109/access.2025.3553034
The implementation of adaptive optimization in multi-product process manufacturing is a crucial strategy for the reduction of unplanned downtime and the enhancement of overall productivity. Nevertheless, the availability of real-time decision support tools for dynamic adjustments in large-scale industries is currently limited. In response to this challenge, we propose a novel model that processes data collected from extensive manufacturing operations. By leveraging Explainable Artificial Intelligence, we developed a real-time decision support system designed to dynamically adjust process parameters following varying input variables. The proposed model achieved a capture rate of 62% of the minority of products that cause micro-stoppages due to non-compliance with specifications. This approach provides a robust framework for adaptive optimization in complex and large-scale manufacturing environments, enhancing productivity and resilience against unplanned disruptions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2025.3553034
- OA Status
- gold
- Cited By
- 1
- References
- 27
- Related Works
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- OpenAlex ID
- https://openalex.org/W4408609467
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408609467Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2025.3553034Digital Object Identifier
- Title
-
Real-Time Decision Support System for Dynamic Optimization in Multi-Product Process ManufacturingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Mustapha Belmouadden, Camélia Dadouchi, Robert PellerinList of authors in order
- Landing page
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https://doi.org/10.1109/access.2025.3553034Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/access.2025.3553034Direct OA link when available
- Concepts
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Computer science, Process (computing), Product (mathematics), Decision support system, Manufacturing engineering, Industrial engineering, Process management, Process engineering, Data mining, Engineering, Mathematics, Operating system, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.industries | 39 |
| abstract_inverted_index.leveraging | 62 |
| abstract_inverted_index.parameters | 78 |
| abstract_inverted_index.resilience | 123 |
| abstract_inverted_index.variables. | 82 |
| abstract_inverted_index.Explainable | 63 |
| abstract_inverted_index.adjustments | 36 |
| abstract_inverted_index.dynamically | 75 |
| abstract_inverted_index.enhancement | 22 |
| abstract_inverted_index.large-scale | 38, 117 |
| abstract_inverted_index.operations. | 60 |
| abstract_inverted_index.availability | 28 |
| abstract_inverted_index.disruptions. | 126 |
| abstract_inverted_index.optimization | 5, 113 |
| abstract_inverted_index.productivity | 121 |
| abstract_inverted_index.Intelligence, | 65 |
| abstract_inverted_index.Nevertheless, | 26 |
| abstract_inverted_index.environments, | 119 |
| abstract_inverted_index.manufacturing | 9, 59, 118 |
| abstract_inverted_index.multi-product | 7 |
| abstract_inverted_index.productivity. | 25 |
| abstract_inverted_index.implementation | 2 |
| abstract_inverted_index.non-compliance | 102 |
| abstract_inverted_index.micro-stoppages | 99 |
| abstract_inverted_index.specifications. | 104 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.84367042 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |