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9 a.m. – 7 p.m.
Phone: (843) 766-6635
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Folly Beach Library
Closed for renovations
Phone: (843) 588-2001
John L. Dart Library
9 a.m. – 7 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 8 p.m.
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Edgar Allan Poe/Sullivan's Island Library
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John's Island Library
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Edisto Library
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Wando Mount Pleasant Library
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Otranto Road Library
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Digital Innovation Risk Management Model of Discrete Manufacturing Enterprise Based on Big Data Analysis.
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- Author(s): Ma, Xinyu; Zhang, Yimeng
- Source:
Journal of Global Information Management; Nov2022, Vol. 30 Issue 7, p1-14, 14p- Subject Terms:
- Source:
- Additional Information
- Abstract: At present, most risk management work mainly relies on manpower, and manpower relies on the professional knowledge of relevant skilled workers to discover hidden safety risks in production activities. This article combines relevant big data theories and 4V characteristics to analyze and investigate safety production and big data, study data structure, data source, and data type. Using 5W1H scientific big data and applications, this analysis method analyzes the theoretical basis, applications, and beneficiaries of big data related to safety production, some of which are application links and important theoretical issues. Secondly, it studies the security risk management model based on big data, proposes a risk management model based on big data, the technical basis of big data, and the idea of a three-dimensional model, and applies the systematic space method, which is reflected in three aspects of risk management. In the end, a risk identification model based on big data, a risk assessment classification model, and a risk early warning and pre-control model are defined. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Global Information Management is the property of IGI Global, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. 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.)
- Abstract:
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