Design and Implementation of an Explainable Bidirectional LSTM Model Based on Transition System Approach for Cooperative AI-Workers Article Swipe
Minyeol Yang
,
Junhyung Moon
,
Seowon Yang
,
Hyung‐Suk Oh
,
Soojin Lee
,
Yoonkyum Kim
,
Jongpil Jeong
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/app12136390
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/app12136390
Recently, interest in the Cyber-Physical System (CPS) has been increasing in the manufacturing industry environment. Various manufacturing intelligence studies are being conducted to enable faster decision-making through various reliable indicators collected from the manufacturing process. Artificial intelligence (AI) and Machine Learning (ML) have advanced enough to give various possibilities of predicting manufacturing time, which can help implement CPS in manufacturing environments, but it is difficult to secure reliability because it is difficult to understand how AI works, and although it can offer good results, it is often not applied to industries. In this paper, Bidirectional Long Short Term Memory (BI-LSTM) is used to predict process execution time, which is an indicator that can be used as a basis for CPS in the manufacturing process, and the Shapley Additive Explanations (SHAP) algorithm is used to explain how artificial intelligence works. The experimental results of this paper, applying manufacturing data, prove that the results derived from SHAP are effective for workers and AI to collaborate.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app12136390
- https://www.mdpi.com/2076-3417/12/13/6390/pdf?version=1655978958
- OA Status
- gold
- Cited By
- 18
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283361663
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283361663Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app12136390Digital Object Identifier
- Title
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Design and Implementation of an Explainable Bidirectional LSTM Model Based on Transition System Approach for Cooperative AI-WorkersWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-06-23Full publication date if available
- Authors
-
Minyeol Yang, Junhyung Moon, Seowon Yang, Hyung‐Suk Oh, Soojin Lee, Yoonkyum Kim, Jongpil JeongList of authors in order
- Landing page
-
https://doi.org/10.3390/app12136390Publisher landing page
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https://www.mdpi.com/2076-3417/12/13/6390/pdf?version=1655978958Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/12/13/6390/pdf?version=1655978958Direct OA link when available
- Concepts
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Computer science, Reliability (semiconductor), Process (computing), Artificial intelligence, Manufacturing, Industrial engineering, Machine learning, Manufacturing engineering, Engineering, Business, Power (physics), Operating system, Physics, Marketing, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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18Total citation count in OpenAlex
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2025: 2, 2024: 8, 2023: 5, 2022: 3Per-year citation counts (last 5 years)
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34Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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