Manufacturing Line Ablation, an approach to perform reliable early prediction Article Swipe
Kapil Deshpande
,
Jan Holzweber
,
Stefan Thalhuber
,
Alexander Hämmerle
,
Michael Mayrhofer
,
Andreas Pichler
,
Pedro Luíz de Paula Filho
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2024.01.075
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.procs.2024.01.075
Manufacturing and assembly lines have become more and more complex over the years. One reason for this complexity is multistage manufacturing, where faults in one stage may carry forward downstream in the production line. Our goal is to find the production stage where reliable fault prediction will already be possible. Our approach takes an holistic view over the complete manufacturing line and performs an ablation study on product-specific data. The outcome of our approach is the analysis of a given manufacturing line that results in locating manufacturing stages where reliable prediction of faulty products is possible. Our objective is to support the implementation of an operative decision support system that allows to decide when to perform early prediction in a manufacturing process.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procs.2024.01.075
- OA Status
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All OpenAlex metadata
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https://openalex.org/W4392975099Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.procs.2024.01.075Digital Object Identifier
- Title
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Manufacturing Line Ablation, an approach to perform reliable early predictionWork title
- Type
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
- Authors
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Kapil Deshpande, Jan Holzweber, Stefan Thalhuber, Alexander Hämmerle, Michael Mayrhofer, Andreas Pichler, Pedro Luíz de Paula FilhoList of authors in order
- Landing page
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https://doi.org/10.1016/j.procs.2024.01.075Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.procs.2024.01.075Direct OA link when available
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Computer science, Line (geometry), Artificial intelligence, Geometry, MathematicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.faults | 22 |
| abstract_inverted_index.faulty | 92 |
| abstract_inverted_index.reason | 14 |
| abstract_inverted_index.stages | 87 |
| abstract_inverted_index.system | 108 |
| abstract_inverted_index.years. | 12 |
| abstract_inverted_index.already | 47 |
| abstract_inverted_index.complex | 9 |
| abstract_inverted_index.forward | 28 |
| abstract_inverted_index.outcome | 70 |
| abstract_inverted_index.perform | 115 |
| abstract_inverted_index.results | 83 |
| abstract_inverted_index.support | 100, 107 |
| abstract_inverted_index.ablation | 64 |
| abstract_inverted_index.analysis | 76 |
| abstract_inverted_index.approach | 51, 73 |
| abstract_inverted_index.assembly | 2 |
| abstract_inverted_index.complete | 58 |
| abstract_inverted_index.decision | 106 |
| abstract_inverted_index.holistic | 54 |
| abstract_inverted_index.locating | 85 |
| abstract_inverted_index.performs | 62 |
| abstract_inverted_index.process. | 121 |
| abstract_inverted_index.products | 93 |
| abstract_inverted_index.reliable | 43, 89 |
| abstract_inverted_index.objective | 97 |
| abstract_inverted_index.operative | 105 |
| abstract_inverted_index.possible. | 49, 95 |
| abstract_inverted_index.complexity | 17 |
| abstract_inverted_index.downstream | 29 |
| abstract_inverted_index.multistage | 19 |
| abstract_inverted_index.prediction | 45, 90, 117 |
| abstract_inverted_index.production | 32, 40 |
| abstract_inverted_index.Manufacturing | 0 |
| abstract_inverted_index.manufacturing | 59, 80, 86, 120 |
| abstract_inverted_index.implementation | 102 |
| abstract_inverted_index.manufacturing, | 20 |
| abstract_inverted_index.product-specific | 67 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5033258326 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I4210132502 |
| citation_normalized_percentile.value | 0.63120811 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |