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International Journal of Production Research Volume 60, 2022 - Issue 21
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Research Article

On the influence of overlap in automatic root cause analysis in manufacturing

Eduardo e OliveiraINESC TEC, Porto, PortugalCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0719-0092View further author information
ORCID Icon,
Vera L. MiguéisINESC TEC, Porto, PortugalView further author information
&
José L. BorgesINESC TEC, Porto, PortugalView further author information
Pages 6491-6507 | Received 05 Jan 2021, Accepted 09 Sep 2021, Published online: 29 Oct 2021

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Read on this site (3)

Yeonju Lee, Youngju Kim, Bogyeong Lee & Chang Ouk Kim. (2024) Discovery of fault-introducing tool groups with a numerical association rule mining method in a printed circuit board production line. International Journal of Production Research 62:9, pages 3305-3319.
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Zhaoguang Xu & Yanzhong Dang. (2023) Data-driven causal knowledge graph construction for root cause analysis in quality problem solving. International Journal of Production Research 61:10, pages 3227-3245.
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Yosuke Otsubo, Naoya Otani, Megumi Chikasue, Mineyuki Nishino & Masashi Sugiyama. (2023) Root cause estimation of faults in production processes: a novel approach inspired by approximate Bayesian computation. International Journal of Production Research 61:5, pages 1556-1574.
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Articles from other publishers (8)

Mahdi Mokhtarzadeh, Jorge Rodríguez-Echeverría, Ivana Semanjski & Sidharta Gautama. (2024) Hybrid intelligence failure analysis for industry 4.0: a literature review and future prospective. Journal of Intelligent Manufacturing.
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Javier Pérez Soler, Nicolás García Sastre, Andrés Larroza Santacruz, Victor Sevilla Nuñez, Miraç Can Yüksel, Santiago Gálvez Settier & Juan-Carlos Perez-Cortes. (2023) Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches. Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches.
Haitian Yang, Degang Sun, Yan Wang, Nan Zhao, Shixiang Zhang & Weiqing Huang. (2023) AdaptParse: Adaptive Contextual Aware Attention Network for Log Parsing via Word Classification. AdaptParse: Adaptive Contextual Aware Attention Network for Log Parsing via Word Classification.
Eduardo e Oliveira, Vera L. Miguéis & José L. Borges. (2022) Automatic root cause analysis in manufacturing: an overview & conceptualization. Journal of Intelligent Manufacturing 34:5, pages 2061-2078.
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Eduardo e Oliveira, Vera L. Miguéis & José L. Borges. (2023) Overlap in Automatic Root Cause Analysis in Manufacturing: An Information Theory-Based Approach. Applied Sciences 13:6, pages 3416.
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Waqar Ahmed Khan. (2023) Balanced weighted extreme learning machine for imbalance learning of credit default risk and manufacturing productivity. Annals of Operations Research.
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Eduardo E. Oliveira, Vera L. Migueis & Jose L. Borges. (2022) Understanding Overlap in Automatic Root Cause Analysis in Manufacturing Using Causal Inference. IEEE Access 10, pages 191-201.
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Ângela F. Brochado, Eugénio M. Rocha & Carina Pimentel. 2022. Advanced Research in Technologies, Information, Innovation and Sustainability. Advanced Research in Technologies, Information, Innovation and Sustainability 357 371 .

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